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Best Key Value Databases with Multi-Model Capabilities

Benefits of Key Value Databases with Multi-Model capabilities include: Provides support to handle structured, semi-structured, and unstructured data with equal effect.
Below are the top-rated Key Value Databases with Multi-Model capabilities, as verified by G2’s Research team. Real users have identified Multi-Model as an important function of Key Value Databases. Compare different products that offer this feature so you can decide which is best for your business needs.

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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11 Listings in Key Value Databases Available
(617)4.4 out of 5
5th Easiest To Use in Key Value Databases software
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  • Overview
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  • 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
    Has the product been a good partner in doing business?
    Average: 8.8
    8.9
    Auto Recovery
    Average: 8.5
    8.4
    Data Model
    Average: 8.7
    8.5
    Integrated Cache
    Average: 8.5
  • 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
Has the product been a good partner in doing business?
Average: 8.8
8.9
Auto Recovery
Average: 8.5
8.4
Data Model
Average: 8.7
8.5
Integrated Cache
Average: 8.5
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
(124)4.6 out of 5
1st Easiest To Use in Key Value Databases software
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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Amazon ElastiCache is a fully managed service that makes it easy to deploy, operate, and scale an in-memory data store and cache in the cloud. Often working in conjunction with other AWS database and

    Users
    • DevOps Engineer
    • Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 23% Mid-Market
    • 23% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Amazon ElastiCache 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
    4
    Easy Integrations
    4
    Features
    3
    Integrations
    3
    Scalability
    3
    Cons
    Expensive
    3
    AWS Dependency
    2
    Complex Setup
    1
    Confusing Implementation
    1
    Difficult Setup
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Amazon ElastiCache features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 8.8
    8.2
    Auto Recovery
    Average: 8.5
    8.7
    Data Model
    Average: 8.7
    9.2
    Integrated Cache
    Average: 8.5
  • 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 ElastiCache is a fully managed service that makes it easy to deploy, operate, and scale an in-memory data store and cache in the cloud. Often working in conjunction with other AWS database and

Users
  • DevOps Engineer
  • Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 23% Mid-Market
  • 23% Small-Business
Amazon ElastiCache 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
4
Easy Integrations
4
Features
3
Integrations
3
Scalability
3
Cons
Expensive
3
AWS Dependency
2
Complex Setup
1
Confusing Implementation
1
Difficult Setup
1
Amazon ElastiCache features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.8
8.2
Auto Recovery
Average: 8.5
8.7
Data Model
Average: 8.7
9.2
Integrated Cache
Average: 8.5
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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(136)4.3 out of 5
Optimized for quick response
9th Easiest To Use in Key Value Databases software
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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Couchbase is a multi-model NoSQL database for mission-critical applications. It is designed to help deliver ever-richer and ever more personalized customer and employee experiences. Built with powerfu

    Users
    • Senior Software Engineer
    • Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 38% Small-Business
    • 35% 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.
    • Couchbase is a NoSQL database that provides capabilities and storage for large projects, with features such as a full text search engine, performance and scalability, and support for non-semi structured data.
    • Reviewers like the ease of use, the SQL-like query language, the high performance and scalability, the built-in full text search and analytics, and the support for unstructured data.
    • Users mentioned a steep learning curve for those coming from an RDMS environment, a complicated setup on Linux, a lack of clarity in some areas of the documentation, and occasional connection issues or query timeouts.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Couchbase 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
    12
    Ease of Use
    9
    Flexibility
    6
    Scaling
    6
    Documentation
    5
    Cons
    Complex Configuration
    8
    Difficult Learning
    5
    Lack of Features
    4
    Poor Documentation
    4
    Complexity
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Couchbase features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 8.8
    8.0
    Auto Recovery
    Average: 8.5
    8.4
    Data Model
    Average: 8.7
    8.0
    Integrated Cache
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Couchbase
    Company Website
    Year Founded
    2009
    HQ Location
    Mountain View, CA
    Twitter
    @couchbase
    143,325 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    933 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Couchbase is a multi-model NoSQL database for mission-critical applications. It is designed to help deliver ever-richer and ever more personalized customer and employee experiences. Built with powerfu

Users
  • Senior Software Engineer
  • Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 38% Small-Business
  • 35% 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.
  • Couchbase is a NoSQL database that provides capabilities and storage for large projects, with features such as a full text search engine, performance and scalability, and support for non-semi structured data.
  • Reviewers like the ease of use, the SQL-like query language, the high performance and scalability, the built-in full text search and analytics, and the support for unstructured data.
  • Users mentioned a steep learning curve for those coming from an RDMS environment, a complicated setup on Linux, a lack of clarity in some areas of the documentation, and occasional connection issues or query timeouts.
Couchbase 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
12
Ease of Use
9
Flexibility
6
Scaling
6
Documentation
5
Cons
Complex Configuration
8
Difficult Learning
5
Lack of Features
4
Poor Documentation
4
Complexity
3
Couchbase features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 8.8
8.0
Auto Recovery
Average: 8.5
8.4
Data Model
Average: 8.7
8.0
Integrated Cache
Average: 8.5
Seller Details
Seller
Couchbase
Company Website
Year Founded
2009
HQ Location
Mountain View, CA
Twitter
@couchbase
143,325 Twitter followers
LinkedIn® Page
www.linkedin.com
933 employees on LinkedIn®
(110)4.6 out of 5
Optimized for quick response
2nd Easiest To Use in Key Value Databases software
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Entry Level Price:Free
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    ArangoDB is the company behind the leading, multi-model graph data and analytics platform that uncovers insights that are difficult or impossible with traditional SQL, Document, or even legacy graph d

    Users
    • Senior Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 58% Small-Business
    • 22% 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.
    • ArangoDB is an open-source database that supports graph, document, and key-value data models and provides a unified query language for handling both graph and relational-style queries.
    • Reviewers appreciate ArangoDB's user-friendly interface, its compatibility with schema-less design, the flexibility as a graph database, and the ability to write JSON-first queries using AQL.
    • Users mentioned that the management and operations on collections and databases using AQL are weak, the documentation could be improved, and there is a degree of lock-in due to the unified query language.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • ArangoDB 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
    22
    Features
    14
    Flexibility
    12
    Querying
    12
    Customer Support
    11
    Cons
    Improvement Needed
    8
    Lack of Information
    8
    Query Complexity
    7
    Difficult Learning
    6
    Limitations
    6
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • ArangoDB features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 8.8
    9.2
    Auto Recovery
    Average: 8.5
    9.2
    Data Model
    Average: 8.7
    7.9
    Integrated Cache
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    ArangoDB
    Company Website
    Year Founded
    2015
    HQ Location
    San Francisco, CA
    Twitter
    @arangodb
    11,802 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    71 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

ArangoDB is the company behind the leading, multi-model graph data and analytics platform that uncovers insights that are difficult or impossible with traditional SQL, Document, or even legacy graph d

Users
  • Senior Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 58% Small-Business
  • 22% 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.
  • ArangoDB is an open-source database that supports graph, document, and key-value data models and provides a unified query language for handling both graph and relational-style queries.
  • Reviewers appreciate ArangoDB's user-friendly interface, its compatibility with schema-less design, the flexibility as a graph database, and the ability to write JSON-first queries using AQL.
  • Users mentioned that the management and operations on collections and databases using AQL are weak, the documentation could be improved, and there is a degree of lock-in due to the unified query language.
ArangoDB 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
22
Features
14
Flexibility
12
Querying
12
Customer Support
11
Cons
Improvement Needed
8
Lack of Information
8
Query Complexity
7
Difficult Learning
6
Limitations
6
ArangoDB features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.8
9.2
Auto Recovery
Average: 8.5
9.2
Data Model
Average: 8.7
7.9
Integrated Cache
Average: 8.5
Seller Details
Seller
ArangoDB
Company Website
Year Founded
2015
HQ Location
San Francisco, CA
Twitter
@arangodb
11,802 Twitter followers
LinkedIn® Page
www.linkedin.com
71 employees on LinkedIn®
(45)4.4 out of 5
8th Easiest To Use in Key Value Databases software
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Entry Level Price:$71 per month
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Redis Cloud is our fully-managed Redis Enterprise service, delivering unmatched speed, simplicity, and scalability. It's perfect for cloud-native applications requiring real-time data processing, with

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 53% Small-Business
    • 38% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Redis Cloud 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
    2
    Customer Support
    1
    Data Security
    1
    Easy Integrations
    1
    Monitoring
    1
    Cons
    Lack of Features
    2
    Cloud Limitations
    1
    Complex Data Modeling
    1
    Data Limitations
    1
    High Memory Usage
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Redis Cloud features and usability ratings that predict user satisfaction
    9.2
    Has the product been a good partner in doing business?
    Average: 8.8
    8.0
    Auto Recovery
    Average: 8.5
    8.7
    Data Model
    Average: 8.7
    10.0
    Integrated Cache
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Redis
    Year Founded
    2011
    HQ Location
    San Francisco, CA
    Twitter
    @Redisinc
    43,736 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,129 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Redis Cloud is our fully-managed Redis Enterprise service, delivering unmatched speed, simplicity, and scalability. It's perfect for cloud-native applications requiring real-time data processing, with

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 53% Small-Business
  • 38% Mid-Market
Redis Cloud 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
2
Customer Support
1
Data Security
1
Easy Integrations
1
Monitoring
1
Cons
Lack of Features
2
Cloud Limitations
1
Complex Data Modeling
1
Data Limitations
1
High Memory Usage
1
Redis Cloud features and usability ratings that predict user satisfaction
9.2
Has the product been a good partner in doing business?
Average: 8.8
8.0
Auto Recovery
Average: 8.5
8.7
Data Model
Average: 8.7
10.0
Integrated Cache
Average: 8.5
Seller Details
Seller
Redis
Year Founded
2011
HQ Location
San Francisco, CA
Twitter
@Redisinc
43,736 Twitter followers
LinkedIn® Page
www.linkedin.com
1,129 employees on LinkedIn®
(18)4.4 out of 5
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    BoltDB is an embedded key/value database for Go.

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 72% Small-Business
    • 17% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • BoltDB features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 8.8
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    BoltDB
    HQ Location
    N/A
    Twitter
    @boltdb
    328 Twitter followers
Product Description
How are these determined?Information
This description is provided by the seller.

BoltDB is an embedded key/value database for Go.

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 72% Small-Business
  • 17% Enterprise
BoltDB features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 8.8
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
BoltDB
HQ Location
N/A
Twitter
@boltdb
328 Twitter followers
(83)4.4 out of 5
6th Easiest To Use in Key Value Databases software
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    The Aerospike Real-time Data Platform enables organizations to act instantly across billions of transactions while reducing server footprint by up to 80 percent. The Aerospike multi-cloud platform pow

    Users
    • Software Engineer
    Industries
    • Marketing and Advertising
    • Information Technology and Services
    Market Segment
    • 45% Mid-Market
    • 34% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Aerospike features and usability ratings that predict user satisfaction
    9.2
    Has the product been a good partner in doing business?
    Average: 8.8
    9.0
    Auto Recovery
    Average: 8.5
    9.1
    Data Model
    Average: 8.7
    9.0
    Integrated Cache
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Aerospike
    Year Founded
    2009
    HQ Location
    Mountain View, CA
    Twitter
    @aerospikedb
    7,967 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    287 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

The Aerospike Real-time Data Platform enables organizations to act instantly across billions of transactions while reducing server footprint by up to 80 percent. The Aerospike multi-cloud platform pow

Users
  • Software Engineer
Industries
  • Marketing and Advertising
  • Information Technology and Services
Market Segment
  • 45% Mid-Market
  • 34% Enterprise
Aerospike features and usability ratings that predict user satisfaction
9.2
Has the product been a good partner in doing business?
Average: 8.8
9.0
Auto Recovery
Average: 8.5
9.1
Data Model
Average: 8.7
9.0
Integrated Cache
Average: 8.5
Seller Details
Seller
Aerospike
Year Founded
2009
HQ Location
Mountain View, CA
Twitter
@aerospikedb
7,967 Twitter followers
LinkedIn® Page
www.linkedin.com
287 employees on LinkedIn®
(38)4.6 out of 5
Optimized for quick response
7th Easiest To Use in Key Value Databases software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    DataStax is the company that powers generative AI applications with real-time, scalable data and production-ready vector data tools that generative AI applications need, and seamless integration with

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 39% Small-Business
    • 37% 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.
    • DataStax Astra DB is a fully managed database service with advanced vector search capabilities and real-time processing, designed to simplify database operations and handle diverse types of queries.
    • Users frequently mention the simplicity of AstraDB, its powerful vector capabilities, the wide range of open-source options, and the supportive and responsive team at DataStax.
    • Reviewers mentioned a steep learning curve due to the long list of Query APIs, high costs, lack of sufficient video tutorials and templates, and the need for significant operational resources to manage distributed Cassandra clusters.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • DataStax 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
    Customer Support
    13
    Ease of Use
    12
    Features
    9
    Integrations
    7
    Data Management
    6
    Cons
    Data Management Issues
    5
    Difficult Learning
    4
    Learning Curve
    4
    Learning Difficulty
    4
    Poor Documentation
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • DataStax features and usability ratings that predict user satisfaction
    9.4
    Has the product been a good partner in doing business?
    Average: 8.8
    5.8
    Auto Recovery
    Average: 8.5
    8.3
    Data Model
    Average: 8.7
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    DataStax
    Company Website
    Year Founded
    2010
    HQ Location
    Santa Clara, CA
    Twitter
    @DataStax
    98,967 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    694 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

DataStax is the company that powers generative AI applications with real-time, scalable data and production-ready vector data tools that generative AI applications need, and seamless integration with

Users
No information available
Industries
  • Computer Software
Market Segment
  • 39% Small-Business
  • 37% 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.
  • DataStax Astra DB is a fully managed database service with advanced vector search capabilities and real-time processing, designed to simplify database operations and handle diverse types of queries.
  • Users frequently mention the simplicity of AstraDB, its powerful vector capabilities, the wide range of open-source options, and the supportive and responsive team at DataStax.
  • Reviewers mentioned a steep learning curve due to the long list of Query APIs, high costs, lack of sufficient video tutorials and templates, and the need for significant operational resources to manage distributed Cassandra clusters.
DataStax 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
Customer Support
13
Ease of Use
12
Features
9
Integrations
7
Data Management
6
Cons
Data Management Issues
5
Difficult Learning
4
Learning Curve
4
Learning Difficulty
4
Poor Documentation
3
DataStax features and usability ratings that predict user satisfaction
9.4
Has the product been a good partner in doing business?
Average: 8.8
5.8
Auto Recovery
Average: 8.5
8.3
Data Model
Average: 8.7
0.0
No information available
Seller Details
Seller
DataStax
Company Website
Year Founded
2010
HQ Location
Santa Clara, CA
Twitter
@DataStax
98,967 Twitter followers
LinkedIn® Page
www.linkedin.com
694 employees on LinkedIn®
(13)4.1 out of 5
View top Consulting Services for Oracle NoSQL Database Cloud
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    A NoSQL database service with on-demand throughput and storage based provisioning that supports JSON, Table and Key-Value datatypes, all with flexible transaction guarantees.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 54% Enterprise
    • 31% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Oracle NoSQL Database Cloud features and usability ratings that predict user satisfaction
    7.8
    Has the product been a good partner in doing business?
    Average: 8.8
    0.0
    No information available
    10.0
    Data Model
    Average: 8.7
    0.0
    No information available
  • 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.

A NoSQL database service with on-demand throughput and storage based provisioning that supports JSON, Table and Key-Value datatypes, all with flexible transaction guarantees.

Users
No information available
Industries
No information available
Market Segment
  • 54% Enterprise
  • 31% Mid-Market
Oracle NoSQL Database Cloud features and usability ratings that predict user satisfaction
7.8
Has the product been a good partner in doing business?
Average: 8.8
0.0
No information available
10.0
Data Model
Average: 8.7
0.0
No information available
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
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Azure Cosmos DB provides native support for NoSQL choices, offers multiple well-defined consistency models, guarantees single-digit-millisecond latencies at the 99th percentile, and guarantees high av

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 22% Enterprise
    • 17% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Azure Cosmos DB 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
    Customization
    3
    Flexibility
    3
    Easy Integrations
    2
    Integrations
    2
    API Integration
    1
    Cons
    Cost Increase
    2
    Cost Issues
    2
    Expensive
    2
    Complex Usage
    1
    Difficult Learning
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Azure Cosmos DB features and usability ratings that predict user satisfaction
    8.8
    Has the product been a good partner in doing business?
    Average: 8.8
    7.5
    Auto Recovery
    Average: 8.5
    6.7
    Data Model
    Average: 8.7
    6.7
    Integrated Cache
    Average: 8.5
  • Seller Details
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  • 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 Cosmos DB provides native support for NoSQL choices, offers multiple well-defined consistency models, guarantees single-digit-millisecond latencies at the 99th percentile, and guarantees high av

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 22% Enterprise
  • 17% Small-Business
Azure Cosmos DB 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
Customization
3
Flexibility
3
Easy Integrations
2
Integrations
2
API Integration
1
Cons
Cost Increase
2
Cost Issues
2
Expensive
2
Complex Usage
1
Difficult Learning
1
Azure Cosmos DB features and usability ratings that predict user satisfaction
8.8
Has the product been a good partner in doing business?
Average: 8.8
7.5
Auto Recovery
Average: 8.5
6.7
Data Model
Average: 8.7
6.7
Integrated Cache
Average: 8.5
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
(35)4.1 out of 5
10th Easiest To Use in Key Value Databases software
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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Cassandra's data model offers the convenience of column indexes with the performance of log-structured updates, strong support for denormalization and materialized views, and powerful built-in caching

    Users
    No information available
    Industries
    • Information Technology and Services
    • Internet
    Market Segment
    • 49% Enterprise
    • 34% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Cassandra features and usability ratings that predict user satisfaction
    7.4
    Has the product been a good partner in doing business?
    Average: 8.8
    6.7
    Auto Recovery
    Average: 8.5
    6.7
    Data Model
    Average: 8.7
    6.7
    Integrated Cache
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1999
    HQ Location
    Wakefield, MA
    Twitter
    @TheASF
    66,229 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,291 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Cassandra's data model offers the convenience of column indexes with the performance of log-structured updates, strong support for denormalization and materialized views, and powerful built-in caching

Users
No information available
Industries
  • Information Technology and Services
  • Internet
Market Segment
  • 49% Enterprise
  • 34% Mid-Market
Cassandra features and usability ratings that predict user satisfaction
7.4
Has the product been a good partner in doing business?
Average: 8.8
6.7
Auto Recovery
Average: 8.5
6.7
Data Model
Average: 8.7
6.7
Integrated Cache
Average: 8.5
Seller Details
Year Founded
1999
HQ Location
Wakefield, MA
Twitter
@TheASF
66,229 Twitter followers
LinkedIn® Page
www.linkedin.com
2,291 employees on LinkedIn®

Quick Facts: Key Value Databases with Multi-Model Capabilities

Content below is current as of June, 2024
Reviews Summary for Key Value Databases Software with Multi-Model Features

Reviews Summary: Key Value Databases Software with Multi-Model Features

Currently there are 11 Key Value Databases software products with Multi-Model features listed on G2, and together they have generated 618 total reviews. These reviews are generated using the qualitative and quantitative feedback from G2 members who have used these software products.

G2 users review Key Value Databases software products based on criteria relating to user experience, setup, and support. Below you will find how users rated the 11 Key Value Databases software products that have Multi-Model features based on those criteria:

  • Ease of Setup: 8.7/10 average user rating
  • Ease of Use: 8.6/10 average user rating
  • Quality of Support: 8.5/10 average user rating

To help you compare and find the best Key Value Databases software product with the right Multi-Model functionality for your business, we have gathered some additional details and FAQs below.

What Key Value Databases products with Multi-Model features have the most reviews and are the highest-rated?

Based on quantity of reviews and average ratings, these are the most popular Key Value Databases software products with Multi-Model capabilities according to G2 users:

What Key Value Databases software products with Multi-Model capabilities are the most liked according to G2 users?

Based on the G2 ratings scale and regardless of review count, these are the highest-rated Key Value Databases software products with Multi-Model capabilities:

Which software products with Multi-Model features are the highest rated on G2?

These are the Key Value Databases software products offering Multi-Model capabilities and have the highest ratings:

Review Snippets for Key Value Databases Software with Multi-Model Features

Below are questions we ask of all Key Value Databases software users on G2. The answers are specific to the most popular software products that offer Multi-Model capabilities. These user responses provide more insight into the most-reviewed Key Value Databases software and their Multi-Model features listed on G2.
Questions Responses
Here is what users liked best about Key Value Databases software with Multi-Model features.
Amazon DynamoDB: "You can add a field anytime easily."
- Fei Z., Senior Project Manager, Software Programmer, Small-Business (50 or fewer emp.)
Amazon ElastiCache: "Simple and fast access to key/value data, as well as score and rank system. You can setup a new in-memory database in minutes."
- Fernando H., Lead Software Engineer, Small-Business (50 or fewer emp.)
ArangoDB: "Multi -model concept is a nice-to-have feature for a database. Storing documents and graphs allows users to have a single place where to store theirs data and query them in multiple ways."
- Bruno B., Architecte Logiciel / Développeur Full Stack, Mid-Market (51-1000 emp.)
Here is what users liked least about Key Value Databases software with Multi-Model features.
Amazon DynamoDB: "Not enough tools to support usage. MongoDB has many very mature ORMs and great community support."
- Maxime S., Senior Software Developer at Mogo, Mid-Market (51-1000 emp.)
Couchbase: "If you aren't getting any specific documents by their ID then you have to setup a index."
- Danh N., Software Development Engineer at Amazon, Mid-Market (51-1000 emp.)
Cassandra: "not as performant when it comes to reads. And consistency level of quorum doesn't allow for 2 nodes to go down, or keyspace is unusable."
- Anson A., I am data and the data is me. We are one., Mid-Market (51-1000 emp.)
These are what users recommend to others considering popular Key Value Databases software products with Multi-Model capabilities.
Amazon DynamoDB: "Add aggregation functio s"
- Aviv K., R&D Team Leader at Somoto Inc, Mid-Market (51-1000 emp.)
ArangoDB: "Use the Docker image and you can test in seconds! !"
- Stefan E., NoSQL / BIG DATA / DATA SCIENCE, Enterprise (> 1000 emp.)
Couchbase: "definitely worth trying this product or working out a POC to test the performance difference."
- Ameya K., Principal Big-Data Engineer, Mid-Market (51-1000 emp.)
These are the problems users said the software was solving and how it is benefitting them.
Amazon DynamoDB: "We implemented a course management calendar using dynamodb to store user's schedule."
- Fei Z., Senior Project Manager, Software Programmer, Small-Business (50 or fewer emp.)
Amazon ElastiCache: "Cache, temporarily data, message queue, non persistent data, in memory database."
- Fernando H., Lead Software Engineer, Small-Business (50 or fewer emp.)
ArangoDB: "The main problem was how to store complex data with an evolutive (moving frequently) schema. ArangoDB provides a simple way to store theses kind of documents in a simple way."
- Bruno B., Architecte Logiciel / Développeur Full Stack, Mid-Market (51-1000 emp.)
Reviews by Industry

Reviews by Industry: Key Value Databases Marketing Software with Multi-Model Features

Multi-Model features are an important factor when choosing a Key Value Databases software product. How the software and this feature are used differs from industry to industry, making it a challenge to find the best Key Value Databases software with the right features for your company. To help professionals with their Key Value Databases software research, G2 has gathered data sourced from 496 reviews. These reviews come from G2 users working in industries that use Key Value Databases products on a regular basis and who have the most experience with their Multi-Model functionality.

Industry-Related FAQs About Key Value Databases Software with Multi-Model Features

What industries have generated the most reviews of Key Value Databases products with Multi-Model capabilities?

Users from the following industries have written the most Multi-Model feature reviews about Key Value Databases software:

  • Information Technology and Services
  • Computer Software
  • Financial Services
Which Key Value Databases software with Multi-Model features do Information Technology and Services professionals think is best?

Information Technology and Services professionals rate Amazon DynamoDB (4.4 stars and 270 reviews), Amazon ElastiCache (4.5 stars and 73 reviews), and Couchbase (4.3 stars and 71 reviews) the highest.

What do Computer Software professionals think is the best Key Value Databases software with Multi-Model features?

Computer Software professionals rate Amazon DynamoDB (4.4 stars and 270 reviews), Amazon ElastiCache (4.5 stars and 73 reviews), and Couchbase (4.3 stars and 71 reviews) the highest.

What do Financial Services professionals think is the best Key Value Databases software with Multi-Model features?

Financial Services professionals rate Amazon DynamoDB (4.4 stars and 270 reviews), Amazon ElastiCache (4.5 stars and 73 reviews), and Couchbase (4.3 stars and 71 reviews) the highest.

Industry Review Snippets: Key Value Databases Multi-Model Software

There are 496 reviews from users in the Information Technology and Services, Computer Software, and Financial Services industries. Below are snippets of what some of these reviews said about those with the highest G2 score ratings and the most reviews.

Industry What Users From Each Industry Liked What Users From Each Industry Disliked
Information Technology and Services
Amazon DynamoDB: DynamoDB is very easy to setup and use. Even the free-tier provides enough functionality for a small to medium-sized web-application.
- Daniel J., Senior Software Developer bei TeamViewer, Enterprise (> 1000 emp.)
Amazon DynamoDB: UI interaction should be better and lot of features are dumped on the same screen. Navigation is a little much difficult when compared with other services.
- Theres Ann M., System Engineer at Tata Consultancy Services, Enterprise (> 1000 emp.)
Financial Services
Amazon DynamoDB: I was interested in using DynamoDB so I wouldn't have to create an maintain a MongoDB cluster. The high availability is nice and seems to be quite easy to scale up.
- Maxime S., Senior Software Developer at Mogo, Mid-Market (51-1000 emp.)
Amazon DynamoDB: Not enough tools to support usage. MongoDB has many very mature ORMs and great community support.
- Maxime S., Senior Software Developer at Mogo, Mid-Market (51-1000 emp.)

Reviews by Market Segment

Reviews by Market Segment: Key Value Databases Software with Multi-Model Features

G2 Key Value Databases software reviewers come from companies of various sizes. On G2 we break these different market segments into three distinct groups:

These reviews are especially helpful when comparing the Multi-Model features of different Key Value Databases software products because each business market segment has its own unique experiences and requirements when it comes to specific software features. The segments that make up these Key Value Databases Multi-Model software reviews are:

  • 35.8% of reviewers are from small businesses.
  • 33% of reviewers are from mid-market companies.
  • 31.2% of reviewers work at enterprise companies.

Below you will find FAQs and actual review snippets for Key Value Databases software products that have Multi-Model features. These reviews are written by real G2 users working in the three market segments above.

Market Segment-Related Key Value Databases Software with Multi-Model Capabilities FAQs

What are the best Key Value Databases software products with Multi-Model features according to users from enterprise businesses?

The Key Value Databases software products enterprise-level professionals rate the highest are Amazon DynamoDB (4.4 stars), Amazon ElastiCache (4.5 stars), and Couchbase (4.3 stars).

Which Key Value Databases software products with Multi-Model features are the best according to mid-market business users?

The Key Value Databases software products mid-market business users rate the highest are Amazon DynamoDB (4.4 stars), Amazon ElastiCache (4.5 stars), and Couchbase (4.3 stars).

What do users in small businesses say are the top Key Value Databases software products with Multi-Model capabilities?

The Key Value Databases software products users in small businesses rate the highest are Amazon DynamoDB (4.4 stars), Amazon ElastiCache (4.5 stars), and Couchbase (4.3 stars).

Market Segment Review Snippets: Key Value Databases Software with Multi-Model Features

Business professionals share important information about Key Value Databases Multi-Model software usability, features, pricing, and more. Read what these users have to say about the top-rated Key Value Databases software with Multi-Model features.

Market Segment What Users From Each Market Segment Liked What Users From Each Market Segment Disliked
Enterprise (> 1000 emp.)
Amazon DynamoDB: DynamoDB is very easy to setup and use. Even the free-tier provides enough functionality for a small to medium-sized web-application.
- Daniel J., Senior Software Developer bei TeamViewer,
Amazon DynamoDB: UI interaction should be better and lot of features are dumped on the same screen. Navigation is a little much difficult when compared with other services.
- Theres Ann M., System Engineer at Tata Consultancy Services, Enterprise (> 1000 emp.)
Mid-Market (51-1000 emp.)
Amazon DynamoDB: The indexing mechanism solves almost every case of data usages. Local indexes defines the key of the documents and global indexes help you model your documents differently
- Aviv K., R&D Team Leader at Somoto Inc,
Amazon DynamoDB: Not enough tools to support usage. MongoDB has many very mature ORMs and great community support.
- Maxime S., Senior Software Developer at Mogo, Mid-Market (51-1000 emp.)
Small-Business (50 or fewer emp.)
Amazon DynamoDB: You can add a field anytime easily.
- Fei Z., Senior Project Manager, Software Programmer,
Amazon DynamoDB: Nothing only the suggestion should be available about the schemas.
- Himanshu V., Small-Business (50 or fewer emp.)