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Best Database as a Service (DBaaS) Providers

Rachana Hasyagar
RH
Researched and written by Rachana Hasyagar

Database as a service (DBaaS) is the process of application owners paying an outside provider that launches and maintains a cloud database for storage, as opposed to having the application owners control the database themselves. Payments are per-usage and application owners can access their application data as they please. These databases provide the same functionality as a standard relational or non-relational database. DBaaS is beneficial for companies that are trying to avoid the work of configuring, maintaining, and upgrading their own databases. DBaaS lives in the overall realm of software as a service (SaaS), similar to platform as a service (PaaS) and infrastructure as a service (IaaS), where all products are hosted as a service. Other types of databases include relational database tools, NoSQL database tools, graph database tools and more. Developers on a budget also have options with free database software.

To qualify for inclusion in the Database as a Service category, a product must:

Be offered by an independent data storage provider
The outside provider must launch, maintain, administer, and be held responsible for performance of said database
Application owners must be able to access necessary data on-demand
These services must be offered via per-usage subscription-based payment plans

Best Database as a Service (DBaaS) Providers At A Glance

G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.

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144 Listings in Database as a Service (DBaaS) Available
(1,026)4.5 out of 5
5th Easiest To Use in Database as a Service (DBaaS) software
View top Consulting Services for Amazon Relational Database Service (RDS)
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while managing time-co

    Users
    • DevOps Engineer
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 30% Mid-Market
    • 25% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Amazon Relational Database Service (RDS) Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Scalability
    102
    Ease of Use
    90
    Security
    65
    Setup Ease
    55
    Backup Services
    54
    Cons
    Expensive
    93
    Limited Control
    39
    Limited Customization
    29
    Limited Database Support
    22
    Poor Usability
    20
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Amazon Relational Database Service (RDS) features and usability ratings that predict user satisfaction
    8.8
    Application Performance
    Average: 8.9
    8.8
    Ease of Use
    Average: 8.7
    9.1
    Scalability
    Average: 9.0
    8.8
    Provisioning
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,230,610 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    136,383 employees on LinkedIn®
    Ownership
    NASDAQ: AMZN
Product Description
How are these determined?Information
This description is provided by the seller.

Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while managing time-co

Users
  • DevOps Engineer
  • Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 30% Mid-Market
  • 25% Enterprise
Amazon Relational Database Service (RDS) Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Scalability
102
Ease of Use
90
Security
65
Setup Ease
55
Backup Services
54
Cons
Expensive
93
Limited Control
39
Limited Customization
29
Limited Database Support
22
Poor Usability
20
Amazon Relational Database Service (RDS) features and usability ratings that predict user satisfaction
8.8
Application Performance
Average: 8.9
8.8
Ease of Use
Average: 8.7
9.1
Scalability
Average: 9.0
8.8
Provisioning
Average: 8.7
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,230,610 Twitter followers
LinkedIn® Page
www.linkedin.com
136,383 employees on LinkedIn®
Ownership
NASDAQ: AMZN
(481)4.5 out of 5
6th Easiest To Use in Database as a Service (DBaaS) software
View top Consulting Services for Amazon Aurora
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Amazon Aurora is a MySQL and PostgreSQL-compatible relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of op

    Users
    • DevOps Engineer
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 36% Small-Business
    • 31% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Amazon Aurora Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Scalability
    109
    Performance
    87
    Ease of Use
    56
    Availability
    41
    High Availability
    39
    Cons
    Expensive
    85
    Limited Database Support
    25
    AWS Dependency
    21
    Complexity
    19
    Vendor Lock-in
    18
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Amazon Aurora features and usability ratings that predict user satisfaction
    8.9
    Application Performance
    Average: 8.9
    8.7
    Ease of Use
    Average: 8.7
    9.0
    Scalability
    Average: 9.0
    8.7
    Provisioning
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,230,610 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    136,383 employees on LinkedIn®
    Ownership
    NASDAQ: AMZN
Product Description
How are these determined?Information
This description is provided by the seller.

Amazon Aurora is a MySQL and PostgreSQL-compatible relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of op

Users
  • DevOps Engineer
  • Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 36% Small-Business
  • 31% Mid-Market
Amazon Aurora Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Scalability
109
Performance
87
Ease of Use
56
Availability
41
High Availability
39
Cons
Expensive
85
Limited Database Support
25
AWS Dependency
21
Complexity
19
Vendor Lock-in
18
Amazon Aurora features and usability ratings that predict user satisfaction
8.9
Application Performance
Average: 8.9
8.7
Ease of Use
Average: 8.7
9.0
Scalability
Average: 9.0
8.7
Provisioning
Average: 8.7
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,230,610 Twitter followers
LinkedIn® Page
www.linkedin.com
136,383 employees on LinkedIn®
Ownership
NASDAQ: AMZN

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(340)4.5 out of 5
1st Easiest To Use in Database as a Service (DBaaS) software
View top Consulting Services for Google Cloud SQL
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Cloud SQL is a fully-managed managed relational database service for MySQL, PostgreSQL, and SQL Server with rich extension collections, configuration flags, and developer ecosystems.

    Users
    • Software Engineer
    • Data Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 40% Mid-Market
    • 31% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Google Cloud SQL Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    85
    Database Management
    79
    Scalability
    58
    Easy Integrations
    48
    Security
    48
    Cons
    Expensive
    62
    Limited Database Support
    23
    Limited Customization
    17
    Cost Concerns
    13
    Lack of Database Support
    12
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Google Cloud SQL features and usability ratings that predict user satisfaction
    9.2
    Application Performance
    Average: 8.9
    9.1
    Ease of Use
    Average: 8.7
    9.2
    Scalability
    Average: 9.0
    9.0
    Provisioning
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Company Website
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    32,520,271 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    301,875 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Cloud SQL is a fully-managed managed relational database service for MySQL, PostgreSQL, and SQL Server with rich extension collections, configuration flags, and developer ecosystems.

Users
  • Software Engineer
  • Data Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 40% Mid-Market
  • 31% Small-Business
Google Cloud SQL Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
85
Database Management
79
Scalability
58
Easy Integrations
48
Security
48
Cons
Expensive
62
Limited Database Support
23
Limited Customization
17
Cost Concerns
13
Lack of Database Support
12
Google Cloud SQL features and usability ratings that predict user satisfaction
9.2
Application Performance
Average: 8.9
9.1
Ease of Use
Average: 8.7
9.2
Scalability
Average: 9.0
9.0
Provisioning
Average: 8.7
Seller Details
Seller
Google
Company Website
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
32,520,271 Twitter followers
LinkedIn® Page
www.linkedin.com
301,875 employees on LinkedIn®
(955)4.3 out of 5
7th Easiest To Use in Database as a Service (DBaaS) software
View top Consulting Services for Oracle Database
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Helps customers lower IT costs and deliver a higher quality of service by enabling consolidation onto database clouds.

    Users
    • Software Engineer
    • Software Developer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 62% Enterprise
    • 27% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Oracle Database Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    26
    Security
    24
    Scalability
    22
    Performance
    21
    Integrations
    17
    Cons
    Expensive
    25
    Complexity
    21
    Poor Usability
    12
    Difficult Learning
    9
    Beginner Unfriendliness
    8
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Oracle Database features and usability ratings that predict user satisfaction
    8.7
    Application Performance
    Average: 8.9
    8.3
    Ease of Use
    Average: 8.7
    8.9
    Scalability
    Average: 9.0
    8.4
    Provisioning
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Oracle
    Year Founded
    1977
    HQ Location
    Austin, TX
    Twitter
    @Oracle
    824,139 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    199,405 employees on LinkedIn®
    Ownership
    NYSE:ORCL
Product Description
How are these determined?Information
This description is provided by the seller.

Helps customers lower IT costs and deliver a higher quality of service by enabling consolidation onto database clouds.

Users
  • Software Engineer
  • Software Developer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 62% Enterprise
  • 27% Mid-Market
Oracle Database Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
26
Security
24
Scalability
22
Performance
21
Integrations
17
Cons
Expensive
25
Complexity
21
Poor Usability
12
Difficult Learning
9
Beginner Unfriendliness
8
Oracle Database features and usability ratings that predict user satisfaction
8.7
Application Performance
Average: 8.9
8.3
Ease of Use
Average: 8.7
8.9
Scalability
Average: 9.0
8.4
Provisioning
Average: 8.7
Seller Details
Seller
Oracle
Year Founded
1977
HQ Location
Austin, TX
Twitter
@Oracle
824,139 Twitter followers
LinkedIn® Page
www.linkedin.com
199,405 employees on LinkedIn®
Ownership
NYSE:ORCL
(360)4.5 out of 5
4th Easiest To Use in Database as a Service (DBaaS) software
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    MongoDB Atlas is a developer data platform that provides a tightly integrated collection of data and application infrastructure building blocks to enable enterprises to quickly deploy bespoke architec

    Users
    • Software Engineer
    • Senior Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 56% Small-Business
    • 26% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • MongoDB Atlas Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    60
    Setup Ease
    23
    Scalability
    21
    Easy Integrations
    20
    User Interface
    20
    Cons
    Expensive
    21
    Missing Features
    13
    Difficult Learning
    11
    Poor UI
    10
    Limitations in Storage
    9
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • MongoDB Atlas features and usability ratings that predict user satisfaction
    9.2
    Application Performance
    Average: 8.9
    9.0
    Ease of Use
    Average: 8.7
    9.2
    Scalability
    Average: 9.0
    8.8
    Provisioning
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    MongoDB
    Year Founded
    2007
    HQ Location
    New York
    Twitter
    @MongoDB
    496,471 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    6,990 employees on LinkedIn®
    Ownership
    NASDAQ: MDB
Product Description
How are these determined?Information
This description is provided by the seller.

MongoDB Atlas is a developer data platform that provides a tightly integrated collection of data and application infrastructure building blocks to enable enterprises to quickly deploy bespoke architec

Users
  • Software Engineer
  • Senior Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 56% Small-Business
  • 26% Mid-Market
MongoDB Atlas Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
60
Setup Ease
23
Scalability
21
Easy Integrations
20
User Interface
20
Cons
Expensive
21
Missing Features
13
Difficult Learning
11
Poor UI
10
Limitations in Storage
9
MongoDB Atlas features and usability ratings that predict user satisfaction
9.2
Application Performance
Average: 8.9
9.0
Ease of Use
Average: 8.7
9.2
Scalability
Average: 9.0
8.8
Provisioning
Average: 8.7
Seller Details
Seller
MongoDB
Year Founded
2007
HQ Location
New York
Twitter
@MongoDB
496,471 Twitter followers
LinkedIn® Page
www.linkedin.com
6,990 employees on LinkedIn®
Ownership
NASDAQ: MDB
(633)4.6 out of 5
Optimized for quick response
2nd Easiest To Use in Database as a Service (DBaaS) software
View top Consulting Services for DigitalOcean
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Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    DigitalOcean simplifies cloud computing so businesses can spend more time creating software that changes the world. With its mission-critical infrastructure and fully managed offerings, DigitalOcean h

    Users
    • Software Engineer
    • CTO
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 84% Small-Business
    • 11% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • DigitalOcean Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    165
    Affordable
    98
    Cost-Effective
    91
    Features
    83
    Reliability
    68
    Cons
    Expensive
    46
    Missing Features
    39
    Limited Features
    26
    Resource Limitations
    24
    Cost Issues
    22
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • DigitalOcean features and usability ratings that predict user satisfaction
    8.6
    Application Performance
    Average: 8.9
    9.3
    Ease of Use
    Average: 8.7
    9.2
    Scalability
    Average: 9.0
    8.6
    Provisioning
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2012
    HQ Location
    New York
    Twitter
    @digitalocean
    223,363 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,794 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

DigitalOcean simplifies cloud computing so businesses can spend more time creating software that changes the world. With its mission-critical infrastructure and fully managed offerings, DigitalOcean h

Users
  • Software Engineer
  • CTO
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 84% Small-Business
  • 11% Mid-Market
DigitalOcean Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
165
Affordable
98
Cost-Effective
91
Features
83
Reliability
68
Cons
Expensive
46
Missing Features
39
Limited Features
26
Resource Limitations
24
Cost Issues
22
DigitalOcean features and usability ratings that predict user satisfaction
8.6
Application Performance
Average: 8.9
9.3
Ease of Use
Average: 8.7
9.2
Scalability
Average: 9.0
8.6
Provisioning
Average: 8.7
Seller Details
Company Website
Year Founded
2012
HQ Location
New York
Twitter
@digitalocean
223,363 Twitter followers
LinkedIn® Page
www.linkedin.com
1,794 employees on LinkedIn®
(617)4.4 out of 5
10th Easiest To Use in Database as a Service (DBaaS) software
View top Consulting Services for Amazon DynamoDB
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Amazon DynamoDB is a pioneering NoSQL, fully managed, serverless database with limitless scalability and single-digit millisecond latency performance enabling customers to develop modern, microservice

    Users
    • Software Engineer
    • Senior Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 28% Enterprise
    • 27% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Amazon DynamoDB Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Scalability
    9
    Easy Integrations
    7
    Integrations
    7
    Ease of Use
    6
    Low Latency
    6
    Cons
    Expensive
    6
    Learning Curve
    4
    Complexity
    3
    Difficult Learning
    3
    Data Management
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Amazon DynamoDB features and usability ratings that predict user satisfaction
    9.0
    Application Performance
    Average: 8.9
    8.6
    Ease of Use
    Average: 8.7
    9.3
    Scalability
    Average: 9.0
    8.8
    Provisioning
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,230,610 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    136,383 employees on LinkedIn®
    Ownership
    NASDAQ: AMZN
Product Description
How are these determined?Information
This description is provided by the seller.

Amazon DynamoDB is a pioneering NoSQL, fully managed, serverless database with limitless scalability and single-digit millisecond latency performance enabling customers to develop modern, microservice

Users
  • Software Engineer
  • Senior Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 28% Enterprise
  • 27% Mid-Market
Amazon DynamoDB Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Scalability
9
Easy Integrations
7
Integrations
7
Ease of Use
6
Low Latency
6
Cons
Expensive
6
Learning Curve
4
Complexity
3
Difficult Learning
3
Data Management
2
Amazon DynamoDB features and usability ratings that predict user satisfaction
9.0
Application Performance
Average: 8.9
8.6
Ease of Use
Average: 8.7
9.3
Scalability
Average: 9.0
8.8
Provisioning
Average: 8.7
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,230,610 Twitter followers
LinkedIn® Page
www.linkedin.com
136,383 employees on LinkedIn®
Ownership
NASDAQ: AMZN
(323)4.5 out of 5
View top Consulting Services for Azure SQL Database
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Azure SQL Database is a relational database-as-a service using the Microsoft SQL Server Engine. SQL Database is a high-performance, reliable, and secure database you can use to build data-driven appli

    Users
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 23% Enterprise
    • 17% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Azure SQL Database Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Scalability
    29
    Security
    20
    Ease of Use
    18
    High Availability
    16
    Cloud Services
    13
    Cons
    Expensive
    21
    Feature Limitations
    8
    Pricing Confusion
    7
    Performance Issues
    6
    Unclear Pricing
    6
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Azure SQL Database features and usability ratings that predict user satisfaction
    8.9
    Application Performance
    Average: 8.9
    8.8
    Ease of Use
    Average: 8.7
    9.1
    Scalability
    Average: 9.0
    8.6
    Provisioning
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    14,031,499 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    238,990 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

Azure SQL Database is a relational database-as-a service using the Microsoft SQL Server Engine. SQL Database is a high-performance, reliable, and secure database you can use to build data-driven appli

Users
  • Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 23% Enterprise
  • 17% Mid-Market
Azure SQL Database Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Scalability
29
Security
20
Ease of Use
18
High Availability
16
Cloud Services
13
Cons
Expensive
21
Feature Limitations
8
Pricing Confusion
7
Performance Issues
6
Unclear Pricing
6
Azure SQL Database features and usability ratings that predict user satisfaction
8.9
Application Performance
Average: 8.9
8.8
Ease of Use
Average: 8.7
9.1
Scalability
Average: 9.0
8.6
Provisioning
Average: 8.7
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
14,031,499 Twitter followers
LinkedIn® Page
www.linkedin.com
238,990 employees on LinkedIn®
Ownership
MSFT
By SAP
(293)4.4 out of 5
View top Consulting Services for SAP Business Technology Platform
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SAP Business Technology Platform (SAP BTP) is the company's cloud platform, that brings together intelligent enterprise applications with database and data management, analytics, integration and exten

    Users
    • Software Engineer
    • System Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 40% Mid-Market
    • 36% Enterprise
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • SAP Business Technology Platform is a tool that provides a variety of features for business process optimization and integrates with various systems.
    • Users frequently mention the platform's ease of use, its integration capabilities with existing infrastructure, and its ability to automate repetitive tasks and streamline processes.
    • Reviewers experienced a steep learning curve, complexity in mastering all the features, high implementation costs, and occasional downtime.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SAP Business Technology Platform Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    90
    Integrations
    74
    Features
    63
    Easy Integrations
    60
    Application Development
    55
    Cons
    Complexity
    58
    Learning Curve
    49
    Expensive
    44
    Learning Difficulty
    44
    Difficult Learning
    32
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SAP Business Technology Platform features and usability ratings that predict user satisfaction
    8.7
    Application Performance
    Average: 8.9
    8.3
    Ease of Use
    Average: 8.7
    8.6
    Scalability
    Average: 9.0
    8.8
    Provisioning
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    SAP
    Company Website
    Year Founded
    1972
    HQ Location
    Walldorf
    Twitter
    @SAP
    301,846 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    125,049 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

SAP Business Technology Platform (SAP BTP) is the company's cloud platform, that brings together intelligent enterprise applications with database and data management, analytics, integration and exten

Users
  • Software Engineer
  • System Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 40% Mid-Market
  • 36% Enterprise
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • SAP Business Technology Platform is a tool that provides a variety of features for business process optimization and integrates with various systems.
  • Users frequently mention the platform's ease of use, its integration capabilities with existing infrastructure, and its ability to automate repetitive tasks and streamline processes.
  • Reviewers experienced a steep learning curve, complexity in mastering all the features, high implementation costs, and occasional downtime.
SAP Business Technology Platform Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
90
Integrations
74
Features
63
Easy Integrations
60
Application Development
55
Cons
Complexity
58
Learning Curve
49
Expensive
44
Learning Difficulty
44
Difficult Learning
32
SAP Business Technology Platform features and usability ratings that predict user satisfaction
8.7
Application Performance
Average: 8.9
8.3
Ease of Use
Average: 8.7
8.6
Scalability
Average: 9.0
8.8
Provisioning
Average: 8.7
Seller Details
Seller
SAP
Company Website
Year Founded
1972
HQ Location
Walldorf
Twitter
@SAP
301,846 Twitter followers
LinkedIn® Page
www.linkedin.com
125,049 employees on LinkedIn®
(199)4.5 out of 5
12th Easiest To Use in Database as a Service (DBaaS) software
View top Consulting Services for Amazon Athena
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Amazon Athena is an interactive query service designed to make it easy to analyze data in Amazon S3 using standard SQL.

    Users
    • Data Engineer
    • Senior Data Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 40% Enterprise
    • 21% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Amazon Athena Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Querying
    7
    Ease of Use
    5
    Cost-Effective
    4
    Database Management
    4
    Pricing
    4
    Cons
    Performance Issues
    4
    Complex Syntax
    2
    Integration Issues
    2
    Missing Features
    2
    Slow Performance
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Amazon Athena features and usability ratings that predict user satisfaction
    8.8
    Application Performance
    Average: 8.9
    8.9
    Ease of Use
    Average: 8.7
    9.0
    Scalability
    Average: 9.0
    8.9
    Provisioning
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,230,610 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    136,383 employees on LinkedIn®
    Ownership
    NASDAQ: AMZN
Product Description
How are these determined?Information
This description is provided by the seller.

Amazon Athena is an interactive query service designed to make it easy to analyze data in Amazon S3 using standard SQL.

Users
  • Data Engineer
  • Senior Data Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 40% Enterprise
  • 21% Mid-Market
Amazon Athena Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Querying
7
Ease of Use
5
Cost-Effective
4
Database Management
4
Pricing
4
Cons
Performance Issues
4
Complex Syntax
2
Integration Issues
2
Missing Features
2
Slow Performance
2
Amazon Athena features and usability ratings that predict user satisfaction
8.8
Application Performance
Average: 8.9
8.9
Ease of Use
Average: 8.7
9.0
Scalability
Average: 9.0
8.9
Provisioning
Average: 8.7
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,230,610 Twitter followers
LinkedIn® Page
www.linkedin.com
136,383 employees on LinkedIn®
Ownership
NASDAQ: AMZN
(258)4.5 out of 5
Optimized for quick response
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    ScyllaDB is the database for data-intensive apps that require high performance and low latency. It enables teams to harness the ever-increasing computing power of modern infrastructures--eliminating b

    Users
    • Software Engineer
    • Senior Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 46% Small-Business
    • 29% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • ScyllaDB Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Performance
    63
    Scalability
    46
    Low Latency
    41
    Customer Support
    26
    Ease of Use
    26
    Cons
    Learning Curve
    22
    Expensive
    16
    Poor Documentation
    16
    Complexity
    15
    Limited Features
    12
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • ScyllaDB features and usability ratings that predict user satisfaction
    9.0
    Application Performance
    Average: 8.9
    8.6
    Ease of Use
    Average: 8.7
    9.2
    Scalability
    Average: 9.0
    8.4
    Provisioning
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    ScyllaDB
    Company Website
    Year Founded
    2013
    HQ Location
    Palo Alto, US
    Twitter
    @ScyllaDB
    30,038 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    214 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

ScyllaDB is the database for data-intensive apps that require high performance and low latency. It enables teams to harness the ever-increasing computing power of modern infrastructures--eliminating b

Users
  • Software Engineer
  • Senior Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 46% Small-Business
  • 29% Enterprise
ScyllaDB Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Performance
63
Scalability
46
Low Latency
41
Customer Support
26
Ease of Use
26
Cons
Learning Curve
22
Expensive
16
Poor Documentation
16
Complexity
15
Limited Features
12
ScyllaDB features and usability ratings that predict user satisfaction
9.0
Application Performance
Average: 8.9
8.6
Ease of Use
Average: 8.7
9.2
Scalability
Average: 9.0
8.4
Provisioning
Average: 8.7
Seller Details
Seller
ScyllaDB
Company Website
Year Founded
2013
HQ Location
Palo Alto, US
Twitter
@ScyllaDB
30,038 Twitter followers
LinkedIn® Page
www.linkedin.com
214 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Amazon MemoryDB for Redis is a Redis-compatible, durable, in-memory database that delivers ultra-fast performance and Multi-AZ durability. With Amazon MemoryDB for Redis, you only pay for what you use

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 52% Enterprise
    • 29% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Amazon MemoryDB Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Performance
    14
    Speed
    11
    Easy Implementation
    9
    Scalability
    9
    High Availability
    5
    Cons
    Expensive
    17
    AWS Dependency
    2
    Complexity
    2
    Learning Curve
    2
    Difficult Setup
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Amazon MemoryDB features and usability ratings that predict user satisfaction
    9.3
    Application Performance
    Average: 8.9
    9.1
    Ease of Use
    Average: 8.7
    9.0
    Scalability
    Average: 9.0
    8.9
    Provisioning
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,230,610 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    136,383 employees on LinkedIn®
    Ownership
    NASDAQ: AMZN
Product Description
How are these determined?Information
This description is provided by the seller.

Amazon MemoryDB for Redis is a Redis-compatible, durable, in-memory database that delivers ultra-fast performance and Multi-AZ durability. With Amazon MemoryDB for Redis, you only pay for what you use

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 52% Enterprise
  • 29% Mid-Market
Amazon MemoryDB Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Performance
14
Speed
11
Easy Implementation
9
Scalability
9
High Availability
5
Cons
Expensive
17
AWS Dependency
2
Complexity
2
Learning Curve
2
Difficult Setup
1
Amazon MemoryDB features and usability ratings that predict user satisfaction
9.3
Application Performance
Average: 8.9
9.1
Ease of Use
Average: 8.7
9.0
Scalability
Average: 9.0
8.9
Provisioning
Average: 8.7
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,230,610 Twitter followers
LinkedIn® Page
www.linkedin.com
136,383 employees on LinkedIn®
Ownership
NASDAQ: AMZN
By IBM
(668)4.1 out of 5
Optimized for quick response
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Built to run the world’s mission-critical workloads. Designed by the world’s leading database experts, IBM Db2 empowers developers, enterprise architects, and data engineers to run low-latency tran

    Users
    • Software Engineer
    • Senior Software Engineer
    Industries
    • Information Technology and Services
    • Banking
    Market Segment
    • 67% Enterprise
    • 21% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM Db2 Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Performance
    19
    Reliability
    15
    Scalability
    12
    Security
    12
    Ease of Use
    10
    Cons
    Complexity
    5
    Expensive
    5
    Poor Usability
    5
    Feature Limitations
    4
    Performance Issues
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM Db2 features and usability ratings that predict user satisfaction
    8.5
    Application Performance
    Average: 8.9
    8.0
    Ease of Use
    Average: 8.7
    8.9
    Scalability
    Average: 9.0
    8.6
    Provisioning
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Company Website
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    711,154 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    317,108 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Built to run the world’s mission-critical workloads. Designed by the world’s leading database experts, IBM Db2 empowers developers, enterprise architects, and data engineers to run low-latency tran

Users
  • Software Engineer
  • Senior Software Engineer
Industries
  • Information Technology and Services
  • Banking
Market Segment
  • 67% Enterprise
  • 21% Mid-Market
IBM Db2 Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Performance
19
Reliability
15
Scalability
12
Security
12
Ease of Use
10
Cons
Complexity
5
Expensive
5
Poor Usability
5
Feature Limitations
4
Performance Issues
4
IBM Db2 features and usability ratings that predict user satisfaction
8.5
Application Performance
Average: 8.9
8.0
Ease of Use
Average: 8.7
8.9
Scalability
Average: 9.0
8.6
Provisioning
Average: 8.7
Seller Details
Seller
IBM
Company Website
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
711,154 Twitter followers
LinkedIn® Page
www.linkedin.com
317,108 employees on LinkedIn®
(40)4.2 out of 5
View top Consulting Services for Google Cloud Spanner
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    The first horizontally scalable, strongly consistent, relational database service

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 43% Enterprise
    • 28% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Google Cloud Spanner Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Scalability
    5
    Scaling
    4
    Availability
    2
    High Availability
    2
    Implementation Ease
    2
    Cons
    Expensive
    3
    AWS Dependency
    1
    Backup Issues
    1
    Complex Setup
    1
    Difficult Setup
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Google Cloud Spanner features and usability ratings that predict user satisfaction
    8.2
    Application Performance
    Average: 8.9
    8.0
    Ease of Use
    Average: 8.7
    8.8
    Scalability
    Average: 9.0
    8.2
    Provisioning
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    32,520,271 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    301,875 employees on LinkedIn®
    Ownership
    NASDAQ:GOOG
Product Description
How are these determined?Information
This description is provided by the seller.

The first horizontally scalable, strongly consistent, relational database service

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 43% Enterprise
  • 28% Small-Business
Google Cloud Spanner Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Scalability
5
Scaling
4
Availability
2
High Availability
2
Implementation Ease
2
Cons
Expensive
3
AWS Dependency
1
Backup Issues
1
Complex Setup
1
Difficult Setup
1
Google Cloud Spanner features and usability ratings that predict user satisfaction
8.2
Application Performance
Average: 8.9
8.0
Ease of Use
Average: 8.7
8.8
Scalability
Average: 9.0
8.2
Provisioning
Average: 8.7
Seller Details
Seller
Google
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
32,520,271 Twitter followers
LinkedIn® Page
www.linkedin.com
301,875 employees on LinkedIn®
Ownership
NASDAQ:GOOG
(45)4.5 out of 5
8th Easiest To Use in Database as a Service (DBaaS) software
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Amazon Neptune is a fast, reliable, fully-managed graph database service that makes it easy to build and run applications that work with highly connected datasets. The core of Amazon Neptune is a purp

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 36% Small-Business
    • 16% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Amazon Neptune Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Integrations
    2
    Compatibility
    1
    Monitoring
    1
    Performance Speed
    1
    Scalability
    1
    Cons
    Learning Curve
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Amazon Neptune features and usability ratings that predict user satisfaction
    9.1
    Application Performance
    Average: 8.9
    9.1
    Ease of Use
    Average: 8.7
    8.8
    Scalability
    Average: 9.0
    9.2
    Provisioning
    Average: 8.7
  • What G2 Users Think
    Expand/Collapse What G2 Users Think
  • User Sentiment
    How are these determined?Information
    These insights are written by G2's Market Research team, using actual user reviews for Amazon Neptune, left between May 2018 and June 2022.
    • Reviewers appreciate Amazon Neptune’s graph database engine, which is optimized for storing large datasets of relationships and querying with low latency.
    • Reviewers appreciate the level of security and data privacy that Amazon Neptune offers.
    • Reviewers enjoy the easy backups provided by the platform.
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,230,610 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    136,383 employees on LinkedIn®
    Ownership
    NASDAQ: AMZN
Product Description
How are these determined?Information
This description is provided by the seller.

Amazon Neptune is a fast, reliable, fully-managed graph database service that makes it easy to build and run applications that work with highly connected datasets. The core of Amazon Neptune is a purp

Users
No information available
Industries
  • Computer Software
Market Segment
  • 36% Small-Business
  • 16% Mid-Market
Amazon Neptune Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Integrations
2
Compatibility
1
Monitoring
1
Performance Speed
1
Scalability
1
Cons
Learning Curve
1
Amazon Neptune features and usability ratings that predict user satisfaction
9.1
Application Performance
Average: 8.9
9.1
Ease of Use
Average: 8.7
8.8
Scalability
Average: 9.0
9.2
Provisioning
Average: 8.7
User Sentiment
How are these determined?Information
These insights are written by G2's Market Research team, using actual user reviews for Amazon Neptune, left between May 2018 and June 2022.
  • Reviewers appreciate Amazon Neptune’s graph database engine, which is optimized for storing large datasets of relationships and querying with low latency.
  • Reviewers appreciate the level of security and data privacy that Amazon Neptune offers.
  • Reviewers enjoy the easy backups provided by the platform.
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,230,610 Twitter followers
LinkedIn® Page
www.linkedin.com
136,383 employees on LinkedIn®
Ownership
NASDAQ: AMZN

Learn More About Database as a Service (DBaaS) Providers

What is Database as a Service (DBaaS)? 

Database as a Service (DBaaS) is the software used to set up, operate, and scale databases in the cloud. Users can access a cloud database system without having to purchase hardware, install additional software, or even manage the database themselves. All these activities are done by the DBaaS provider, including upgrades, new software additions, availability of the database at all times, and downtime minimization. A few minutes of deployment time could replace weeks of time for development and installation work. DBaaS has been growing in popularity since it allows customers to focus on business operations and decisions. 

The DBaaS software will manage runtime environment, OS, middleware, servers, storage, networking capabilities, and virtualization, whereas the customer needs to manage applications and data. In an on-premise environment, a customer needs to handle all the components mentioned above.

Evolution of DBaaS

Companies spent their finances to get servers, storage, database management systems, and any other hardware that would be installed and located within their own data center. Along with infrastructure costs, training for IT staff on this hardware was required. Additional costs such as maintenance and licensing all led to a very high total cost of ownership (TCO) for the vendor. Companies were so busy focusing on developing their data centers that several ended up forgetting the reasons they were installed in the first place—to streamline business processes and make data-driven decisions. IT administrators would take a long time to troubleshoot and fix errors, and these would often cause downtimes and delays affecting the entire business. Considering these exorbitant costs, SME or SMBs would find it extremely difficult to invest in such requirements.

As these issues grew along with the time and cost, companies realized a need for a more efficient process in place. The focus was now on automating tasks—virtualization, containerization, and several other technologies grew significantly. Finally, with the advent of cloud computing databases being offered as a service not only by some of the largest cloud providers (such as Amazon Relational Database Service, IBM Db2, Azure SQL Database, and Google Cloud Firestore) but also on-premises database management system providers, people realized the importance of cloud.

What Does DBaaS Stand For?

DBaaS stands for Database as a Service. DBaaS is also known as managed database service. Usage of a DBaaS software means that there is no need for a user to deploy a database management system (DBMS) on premises since it is a managed service. It uses all the benefits of cloud computing to ensure that the user has low to zero initial infrastructure costs.

What are the Common Features of Database as a Service (DBaaS)?

The following are some core features within the DBaaS that can help users in several ways:

Automation: Database administration, access control, monitoring, and several other tasks are completely automated. The customers do not need to concern themselves with these tasks, since they are designed in a manner that the machine itself will automatically execute all tasks without any human intervention.

Self-service capabilities: Since the DBaaS software is fully automated, admin tasks can be automated as well. These tasks can be scheduled to support different database activities. DBaaS providers will support numerous automated tasks such as OS and kernel updates, back-up scheduling and restoration, software patching, and built-in replication among others.

On-demand usage: Users can opt for the DBaaS as per requirement, and it only takes a couple of minutes to set up. There are overall IT savings since the customer will only pay as per usage.

Dynamic: The DBaaS software is a flexible platform and will use the resources available as required. It will tailor itself to match the user's environment needs.

True high availability (HA) and resilience: DBaaS systems need to show true HA so that the system is dependable enough to continuously work without any errors. For a DBaaS system, HA means that users can run several critical applications and workloads without having to worry about a database failing or becoming unavailable due to any failure.

What are the Benefits of Database as a Service (DBaaS)?

Some of the key benefits of DBaaS software is provided below: 

Low initial costs: Since the customer does not need to invest in any hardware, there are no upfront costs associated with database technologies. In addition, the customer does not need to purchase additional database management systems if the need for scaling arrives. The customer only needs to pay a subscription fee for using the DBaaS software which is determined by the resources being consumed. In case a customer needs to purchase additional capacity in the future, they can just opt to subscribe for the same or add additional features to their subscription pricing plan.

Scalability: Since the customer would not own the hardware itself, the DBaaS software vendor will provide the customer with a flexible and scalable infrastructure to scale up or down based on their database needs. A customer can scale down the number of resources being used during off-peak times, and increase its resources during high-peak requirements. This benefit is also very useful when we consider very large datasets or big data applications.

Reduced risk complexities: When creating a DBaaS service level agreement (SLA), the cloud computing provider needs to ensure that the customer will be provided a certain amount of uptime. In case this fails, the customer can be compensated for the same.

Supports configurability: Most of the DBaaS providers provide numerous options for customers to configure their DBaaS as per their database. Since there are several different types of databases, this configurability feature is a must to ensure the quality of the DBMS process.

Lower admin costs: Since there is no hardware owned by the customer, there is no requirement for a database management team to handle it. Most of the operations are handled by the DBaaS provider and customers can choose what they prefer to control. IT staff can refocus their time on working on other applications, software, and workloads.

Improved time to market: When using an on-premises database, development teams usually raise a ticket to their IT teams to provide some information which could take days. But with DBaaS software, developers can also be allowed to access the DBaaS capabilities, and download their required data or information in a matter of minutes.

Security: Since cloud providers have their own strong and secure encryption and security methods to ensure that customer data is safe on the cloud, these security features are extended to a DBaaS customer as well. DBaaS software providers will also take care of any government compliance data regulations such as HIPAA.

Who Uses Database as a Service (DBaaS)?

Some of the key personas that use DBaaS are listed below:

DBaaS administrator: This persona will be primarily responsible for maintaining and managing the DBaaS software. A DBaaS administrator can use the software to create, delete, and restore database deployments, can monitor service usage in the cloud, and send requests to scale or patch up as required.

Cloud account administrator: A cloud account administrator manages the cloud accounts for an organization. They can create users and provide them access to the DBaaS solutions. The administrator will be responsible for deleting and adding user personas as well.

Identity domain administrator: This persona will be in charge of creating cloud service administrators and creating accounts for the DBaaS administrator within a particular identity domain.

Nonuser or administrator: This persona will work with the cloud service. This user will be assigned application roles, service roles, workload-related tasks, and others. Users will be able to access several database instances within a particular identity domain.

Application owner: Within the organization, the application owner will use the DBaaS software to access or call any database required for running the application. There is no need to wait for days to raise any request to get access to a database.

Developers: Developers can use several cloud-hosted APIs to build new applications and access and manipulate the data for various programs. Because of this feature, DBaaS shares several similarities with other SaaS or PaaS cloud-based offerings.

Challenges with Database as a Service (DBaaS) 

DBaaS solutions can come with their own set of challenges. 

Lack of control: This is considered to be the biggest challenge that customers face with DBaaS. Customers do not have direct access to servers that are running the database. The customer cannot be involved in the physical security of the servers or even cybersecurity that protects the data. If for any reason the server stops working, the customer is affected until the cloud provider fixes it.

Security concerns: Although DBaaS providers provide top-notch security from their cloud computing capabilities, organizations might find using DBaaS a challenge. The fact that the customer would not have control over how the data is stored, accessed, transmitted, or backed up could cause severe security concerns. There have been numerous data breaches being reported daily across the globe and several organizations are becoming wary of using DBaaS software.

Dependency on the cloud provider for additional enhancements: There is a lack of physical control when a customer opts for a DBaaS solution. In case a customer wants to upgrade their service with enhanced security products, for example, the customer will not have any control over the same. They can raise a ticket request with the cloud provider. There is no method in place for a customer to implement any additional services that they want which are not offered by the cloud provider. So in the example above, the customer would need to wait until that particular security enhancement is supported by the cloud provider or opt for the one that the cloud provider is offering.

Vendor lock-in challenges: Several DBaaS solution offerings will provide numerous features today to move more customer databases to the cloud. However, no one can predict the future so what is a good decision today may not be one tomorrow. As an example, data privacy and compliance regulations in the future could pressurize EU customers to store their data in a particular location, but due to vendor lock-in issues, the customer could run into several problems since several DBaaS cloud providers such as Amazon, Google, and Oracle are based out of US headquarters.

How to Buy Database as a Service (DBaaS) 

Under this section, a customer can gather and prioritize key requirements and RFI distribution, specifically for DBaaS software:

Requirements Gathering (RFI/RFP) for Database as a Service (DBaaS)

For customers looking for a wide array of DBaaS options, having a neutral opinion will be key to choosing one. Customers can use reviews here at G2.com as a guide to move forward with the DBaaS option.

When choosing a DBaaS option, it’s very important to ask the following questions:

  • Does the cloud provider support the type of database that is required?
  • Can the provider support scaling requirements in the future?
  • Are there standards for data protection and regulations?
  • Does the provider have support teams present in case of any query?
  • Is it a high availability (HA) software? Is it able to withstand any nodal failures?
  • Does it have a robust backup? Does it support built-in replication?

By answering these questions, the customer will have an understanding of what kind of DBaaS service provider would be the best fit for their organization. Understanding the customer’s database type or technology and making sure that the cloud provider can support this database is key.

Compare Database as a Service (DBaaS) Products

Create a long list

In this step, buyers should keep their options open to consider the full range of products. Buyers have the freedom to explore numerous offerings that the DBaaS market has. In addition, this is the main step to evaluate the answers to the above questions. The long list can be made much more concise and smaller by addressing the goals.

Create a short list

Buyers can make much more granular comparisons on this step. In addition to this, buyers can use the G2 reviews to further narrow this list down.

Conduct demos

Once the list has been reduced to a couple of vendors, buyers may begin to request a demo. During a DBaaS demo, buyers should seek out information that is related to their non-negotiable terms. This is a good stage where the buyer can delve more deeply into understanding how secure their database will be, what the features are—latency in loading databases, after-service support, staff training, and other additional features that can be provided. 

Selection of Database as a Service (DBaaS)

Choose a selection team

Choosing the right team to work together to decide the right DBaaS software is a critical part of the process. This team will be in charge of overseeing the entire database migration to cloud. The team should include a mix of different personas who have the required skills, the interest, and the time. Some roles include DBaaS admins, cloud engineers, and IT admins. The buyer administrator is one of the key personnel required for this selection team since this admin will control the buying process. For smaller firms that want to move to DBaaS, they might not have several employees to be a part of this team, and therefore they might need to overlap roles to make the best assessment.

Negotiation

A buyer can choose to negotiate to trim costs. The buyer needs to note that if in the future there is a requirement for scaling, there would be additional costs or an increase to the subscription pricing. Keeping such factors in mind will help the buyer to put forward better negotiation tactics for the specific functions that matter.

Final decision

Once all the steps are complete, the final decision is made weighing all factors and scenarios. Having a trial run of the DBaaS software is a good place to start. A small group of developers or admins can use the DBaaS software to see if there are viable benefits and pass on their views to the team making the final decision.