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Best Real-time Analytic Database Software

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi

Real-time analytic or streaming databases are designed to process and analyze high volumes of data in near real time.

Traditional relational databases process and store historical data in batch modes and can thus provide insights into past trends. Real-time analytic databases go one step further by processing the data in real time and generating updates immediately for any queries registered, helping companies make data-driven decisions. These tools help data science teams combine past and present data for predictive analytics.

Real-time analytic databases process data as it arrives and helps organizations to make informed decisions and take immediate actions with the most recent information.

To qualify for inclusion in the Real-Time Analytic Database category, a product must:

Offer real-time data processing
Have event-driven architecture
Provide lower query latency and execute queries continuously as they are registered

Best Real-time Analytic Database Software At A Glance

Highest User Satisfaction:
Best Free Software:

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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22 Listings in Real-time Analytic Database Available
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Rockset is the search and analytics database built for the cloud. With real-time indexing and full-featured SQL on JSON, time series, geospatial and vector data, Rockset is the cloud-native alternati

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 43% Small-Business
    • 40% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Rockset 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
    18
    Customer Support
    15
    Querying
    12
    Performance
    11
    Speed
    11
    Cons
    Limited Features
    7
    Query Issues
    5
    Limited SQL
    4
    Poor Usability
    4
    Expensive
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Rockset features and usability ratings that predict user satisfaction
    8.8
    Ease of Use
    Average: 8.3
    9.4
    Quality of Support
    Average: 9.0
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    OpenAI
    Year Founded
    2015
    HQ Location
    San Francisco, CA
    Twitter
    @OpenAI
    3,972,668 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,933 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Rockset is the search and analytics database built for the cloud. With real-time indexing and full-featured SQL on JSON, time series, geospatial and vector data, Rockset is the cloud-native alternati

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 43% Small-Business
  • 40% Mid-Market
Rockset 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
18
Customer Support
15
Querying
12
Performance
11
Speed
11
Cons
Limited Features
7
Query Issues
5
Limited SQL
4
Poor Usability
4
Expensive
3
Rockset features and usability ratings that predict user satisfaction
8.8
Ease of Use
Average: 8.3
9.4
Quality of Support
Average: 9.0
Seller Details
Seller
OpenAI
Year Founded
2015
HQ Location
San Francisco, CA
Twitter
@OpenAI
3,972,668 Twitter followers
LinkedIn® Page
www.linkedin.com
1,933 employees on LinkedIn®
Entry Level Price:Free
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    The enterprise database for time series, documents, and vectors. Store any type of data and combine the simplicity of SQL with the scalability of NoSQL. CrateDB is an open source, multi-model, distrib

    Users
    • Data Engineer
    • Software Engineer
    Industries
    • Computer Software
    • Consulting
    Market Segment
    • 54% Small-Business
    • 32% Mid-Market
    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.
    • CrateDB is a NoSQL database that supports multi-model data, full text and vector search, and timeseries data search, designed for handling large volumes of data and real-time data processing.
    • Reviewers appreciate CrateDB's ability to manage large volumes of data, its high reliability and availability, its SQL-based syntax, and its ease of integration with existing systems.
    • Users reported a need for more video tutorials and examples for beginners, improvements in Kubernetes support, better documentation, and concerns about the product's suitability for lightweight options and small projects.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • CrateDB 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
    22
    Ease of Use
    21
    Easy Integrations
    20
    Integrations
    17
    SQL Support
    16
    Cons
    Poor Documentation
    7
    Software Limitations
    5
    Difficult Learning
    4
    Learning Curve
    4
    Poor Customer Support
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • CrateDB features and usability ratings that predict user satisfaction
    9.0
    Ease of Use
    Average: 8.3
    9.1
    Quality of Support
    Average: 9.0
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    CrateDB
    Company Website
    Year Founded
    2013
    HQ Location
    Redwood City, CA
    Twitter
    @cratedb
    4,297 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    62 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

The enterprise database for time series, documents, and vectors. Store any type of data and combine the simplicity of SQL with the scalability of NoSQL. CrateDB is an open source, multi-model, distrib

Users
  • Data Engineer
  • Software Engineer
Industries
  • Computer Software
  • Consulting
Market Segment
  • 54% Small-Business
  • 32% Mid-Market
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.
  • CrateDB is a NoSQL database that supports multi-model data, full text and vector search, and timeseries data search, designed for handling large volumes of data and real-time data processing.
  • Reviewers appreciate CrateDB's ability to manage large volumes of data, its high reliability and availability, its SQL-based syntax, and its ease of integration with existing systems.
  • Users reported a need for more video tutorials and examples for beginners, improvements in Kubernetes support, better documentation, and concerns about the product's suitability for lightweight options and small projects.
CrateDB 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
22
Ease of Use
21
Easy Integrations
20
Integrations
17
SQL Support
16
Cons
Poor Documentation
7
Software Limitations
5
Difficult Learning
4
Learning Curve
4
Poor Customer Support
4
CrateDB features and usability ratings that predict user satisfaction
9.0
Ease of Use
Average: 8.3
9.1
Quality of Support
Average: 9.0
Seller Details
Seller
CrateDB
Company Website
Year Founded
2013
HQ Location
Redwood City, CA
Twitter
@cratedb
4,297 Twitter followers
LinkedIn® Page
www.linkedin.com
62 employees on LinkedIn®

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(118)4.5 out of 5
1st Easiest To Use in Real-time Analytic Database software
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SingleStore enables organizations to scale from one to one million customers, handling SQL, JSON, full text and vector workloads — all in one unified platform.

    Users
    • Data Engineer
    • Software Developer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 39% Enterprise
    • 37% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SingleStore 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
    Speed
    5
    Performance
    4
    Customer Support
    3
    Features
    3
    Scalability
    3
    Cons
    Data Management
    2
    Limited Database Support
    2
    Backup Issues
    1
    Beginner Unfriendliness
    1
    Difficult Learning
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SingleStore features and usability ratings that predict user satisfaction
    8.7
    Ease of Use
    Average: 8.3
    8.7
    Quality of Support
    Average: 9.0
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2011
    HQ Location
    San Francisco, CA
    Twitter
    @SingleStoreDB
    15,596 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    524 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

SingleStore enables organizations to scale from one to one million customers, handling SQL, JSON, full text and vector workloads — all in one unified platform.

Users
  • Data Engineer
  • Software Developer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 39% Enterprise
  • 37% Small-Business
SingleStore 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
Speed
5
Performance
4
Customer Support
3
Features
3
Scalability
3
Cons
Data Management
2
Limited Database Support
2
Backup Issues
1
Beginner Unfriendliness
1
Difficult Learning
1
SingleStore features and usability ratings that predict user satisfaction
8.7
Ease of Use
Average: 8.3
8.7
Quality of Support
Average: 9.0
Seller Details
Year Founded
2011
HQ Location
San Francisco, CA
Twitter
@SingleStoreDB
15,596 Twitter followers
LinkedIn® Page
www.linkedin.com
524 employees on LinkedIn®
By KX
(48)4.7 out of 5
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    KX is a high-performance analytics solution designed to help organizations accelerate data and AI-driven innovation, enabling them to transition into AI-first enterprises. This platform specializes in

    Users
    No information available
    Industries
    • Financial Services
    • Capital Markets
    Market Segment
    • 58% Enterprise
    • 23% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • KX 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
    11
    Speed
    11
    Efficiency
    7
    Tool Power
    7
    Ease of Use
    6
    Cons
    Learning Curve
    13
    Difficult Learning
    8
    Steep Learning Curve
    8
    Complexity
    3
    Debugging Issues
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • KX features and usability ratings that predict user satisfaction
    6.8
    Ease of Use
    Average: 8.3
    8.7
    Quality of Support
    Average: 9.0
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    KX
    Company Website
    Year Founded
    1996
    HQ Location
    NY, USA
    Twitter
    @kxsystems
    4,222 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    556 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

KX is a high-performance analytics solution designed to help organizations accelerate data and AI-driven innovation, enabling them to transition into AI-first enterprises. This platform specializes in

Users
No information available
Industries
  • Financial Services
  • Capital Markets
Market Segment
  • 58% Enterprise
  • 23% Small-Business
KX 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
11
Speed
11
Efficiency
7
Tool Power
7
Ease of Use
6
Cons
Learning Curve
13
Difficult Learning
8
Steep Learning Curve
8
Complexity
3
Debugging Issues
3
KX features and usability ratings that predict user satisfaction
6.8
Ease of Use
Average: 8.3
8.7
Quality of Support
Average: 9.0
Seller Details
Seller
KX
Company Website
Year Founded
1996
HQ Location
NY, USA
Twitter
@kxsystems
4,222 Twitter followers
LinkedIn® Page
www.linkedin.com
556 employees on LinkedIn®
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    StarTree Cloud is a fully-managed user-facing real-time analytics Database-as-a-Service (DBaaS) designed for OLAP at massive speed and scale. Based on Apache Pinot™, StarTree Cloud provides enterprise

    Users
    No information available
    Industries
    • Computer Software
    • Financial Services
    Market Segment
    • 36% Mid-Market
    • 32% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • StarTree 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
    7
    Helpful
    3
    Performance
    3
    Big Data Handling
    2
    Fast Querying
    2
    Cons
    Poor Customer Support
    3
    Poor Documentation
    2
    Software Limitations
    2
    Cluster Management
    1
    Complex Setup
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • StarTree features and usability ratings that predict user satisfaction
    7.5
    Ease of Use
    Average: 8.3
    8.6
    Quality of Support
    Average: 9.0
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    StarTree
    Company Website
    Year Founded
    2019
    HQ Location
    Mountain View, California
    Twitter
    @startreedata
    2,137 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    157 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

StarTree Cloud is a fully-managed user-facing real-time analytics Database-as-a-Service (DBaaS) designed for OLAP at massive speed and scale. Based on Apache Pinot™, StarTree Cloud provides enterprise

Users
No information available
Industries
  • Computer Software
  • Financial Services
Market Segment
  • 36% Mid-Market
  • 32% Enterprise
StarTree 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
7
Helpful
3
Performance
3
Big Data Handling
2
Fast Querying
2
Cons
Poor Customer Support
3
Poor Documentation
2
Software Limitations
2
Cluster Management
1
Complex Setup
1
StarTree features and usability ratings that predict user satisfaction
7.5
Ease of Use
Average: 8.3
8.6
Quality of Support
Average: 9.0
Seller Details
Seller
StarTree
Company Website
Year Founded
2019
HQ Location
Mountain View, California
Twitter
@startreedata
2,137 Twitter followers
LinkedIn® Page
www.linkedin.com
157 employees on LinkedIn®
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Materialize is a modern responsive front-end framework based on material design.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 56% Small-Business
    • 44% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Materialize features and usability ratings that predict user satisfaction
    9.5
    Ease of Use
    Average: 8.3
    8.1
    Quality of Support
    Average: 9.0
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2019
    HQ Location
    Los Angeles, CA
    LinkedIn® Page
    www.linkedin.com
    32 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Materialize is a modern responsive front-end framework based on material design.

Users
No information available
Industries
No information available
Market Segment
  • 56% Small-Business
  • 44% Mid-Market
Materialize features and usability ratings that predict user satisfaction
9.5
Ease of Use
Average: 8.3
8.1
Quality of Support
Average: 9.0
Seller Details
Year Founded
2019
HQ Location
Los Angeles, CA
LinkedIn® Page
www.linkedin.com
32 employees on LinkedIn®
(4)4.9 out of 5
Optimized for quick response
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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    DoubleCloud is winding down operations. The company ceased creating new accounts on October 1, 2024, and will completely close on March 1, 2025. DoubleCloud specialized in data analytics infrastru

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 75% Small-Business
    • 25% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • DoubleCloud 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
    4
    Ease of Use
    3
    Setup Ease
    3
    Cost-Effective
    2
    Pricing
    2
    Cons
    Lack of Database Support
    1
    Limited Database Support
    1
    Missing Features
    1
    UI Design Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • DoubleCloud features and usability ratings that predict user satisfaction
    9.2
    Ease of Use
    Average: 8.3
    10.0
    Quality of Support
    Average: 9.0
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2022
    HQ Location
    Dubai, AE
    LinkedIn® Page
    www.linkedin.com
    57 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

DoubleCloud is winding down operations. The company ceased creating new accounts on October 1, 2024, and will completely close on March 1, 2025. DoubleCloud specialized in data analytics infrastru

Users
No information available
Industries
No information available
Market Segment
  • 75% Small-Business
  • 25% Mid-Market
DoubleCloud 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
4
Ease of Use
3
Setup Ease
3
Cost-Effective
2
Pricing
2
Cons
Lack of Database Support
1
Limited Database Support
1
Missing Features
1
UI Design Issues
1
DoubleCloud features and usability ratings that predict user satisfaction
9.2
Ease of Use
Average: 8.3
10.0
Quality of Support
Average: 9.0
Seller Details
Company Website
Year Founded
2022
HQ Location
Dubai, AE
LinkedIn® Page
www.linkedin.com
57 employees on LinkedIn®
Entry Level Price:Free
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    InfluxDB is a purpose-built data platform designed to handle all time series data, from users, sensors, applications and infrastructure — seamlessly collecting, storing, visualizing, and turning insig

    Users
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 60% Small-Business
    • 22% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • InfluxDB 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
    Data Management
    2
    Ease of Use
    2
    Delivery Speed
    1
    Functionality
    1
    Integration Capabilities
    1
    Cons
    Complex Implementation
    1
    Complexity Issues
    1
    High Complexity
    1
    Learning Curve
    1
    Limited Community
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • InfluxDB features and usability ratings that predict user satisfaction
    8.5
    Ease of Use
    Average: 8.3
    8.6
    Quality of Support
    Average: 9.0
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2012
    HQ Location
    San Francisco, California
    Twitter
    @InfluxData
    20 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    192 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

InfluxDB is a purpose-built data platform designed to handle all time series data, from users, sensors, applications and infrastructure — seamlessly collecting, storing, visualizing, and turning insig

Users
  • Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 60% Small-Business
  • 22% Mid-Market
InfluxDB 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
Data Management
2
Ease of Use
2
Delivery Speed
1
Functionality
1
Integration Capabilities
1
Cons
Complex Implementation
1
Complexity Issues
1
High Complexity
1
Learning Curve
1
Limited Community
1
InfluxDB features and usability ratings that predict user satisfaction
8.5
Ease of Use
Average: 8.3
8.6
Quality of Support
Average: 9.0
Seller Details
Year Founded
2012
HQ Location
San Francisco, California
Twitter
@InfluxData
20 Twitter followers
LinkedIn® Page
www.linkedin.com
192 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Realtime distributed OLAP datastore, designed to answer OLAP queries with low latency

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Small-Business
    • 50% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Apache Pinot features and usability ratings that predict user satisfaction
    5.0
    Ease of Use
    Average: 8.3
    10.0
    Quality of Support
    Average: 9.0
  • 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.

Realtime distributed OLAP datastore, designed to answer OLAP queries with low latency

Users
No information available
Industries
No information available
Market Segment
  • 50% Small-Business
  • 50% Mid-Market
Apache Pinot features and usability ratings that predict user satisfaction
5.0
Ease of Use
Average: 8.3
10.0
Quality of Support
Average: 9.0
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®
(4)4.3 out of 5
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Our real-time analytics database, built from Apache Druid, enables developers to build the next generation of analytics applications. With Imply, developers can build without constraints as our datab

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 25% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Imply 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
    Availability
    1
    Collaboration
    1
    Ease of Use
    1
    Features
    1
    Flexibility
    1
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Imply features and usability ratings that predict user satisfaction
    8.3
    Ease of Use
    Average: 8.3
    8.8
    Quality of Support
    Average: 9.0
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Imply
    HQ Location
    Burlingame, California
    Twitter
    @implydata
    1,995 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    245 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Our real-time analytics database, built from Apache Druid, enables developers to build the next generation of analytics applications. With Imply, developers can build without constraints as our datab

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 25% Mid-Market
Imply 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
Availability
1
Collaboration
1
Ease of Use
1
Features
1
Flexibility
1
Cons
This product has not yet received any negative sentiments.
Imply features and usability ratings that predict user satisfaction
8.3
Ease of Use
Average: 8.3
8.8
Quality of Support
Average: 9.0
Seller Details
Seller
Imply
HQ Location
Burlingame, California
Twitter
@implydata
1,995 Twitter followers
LinkedIn® Page
www.linkedin.com
245 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Cloud-native PostgreSQL for time-series, events and analytics. Timescale gives modern engineering teams the cloud-native data infrastructure they need to power data-centric products that delight th

    Users
    No information available
    Industries
    • Computer Software
    • Financial Services
    Market Segment
    • 76% Small-Business
    • 21% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Timescale 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
    5
    Cloud Services
    3
    Customer Support
    3
    Easy Setup
    3
    Features
    3
    Cons
    Expensive
    2
    Expensive Licensing
    2
    Missing Features
    2
    Expensive Queries
    1
    Learning Curve
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Timescale features and usability ratings that predict user satisfaction
    9.1
    Ease of Use
    Average: 8.3
    9.9
    Quality of Support
    Average: 9.0
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Timescale
    Company Website
    Year Founded
    2015
    HQ Location
    New York, New York
    Twitter
    @TimescaleDB
    8,634 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    158 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Cloud-native PostgreSQL for time-series, events and analytics. Timescale gives modern engineering teams the cloud-native data infrastructure they need to power data-centric products that delight th

Users
No information available
Industries
  • Computer Software
  • Financial Services
Market Segment
  • 76% Small-Business
  • 21% Mid-Market
Timescale 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
5
Cloud Services
3
Customer Support
3
Easy Setup
3
Features
3
Cons
Expensive
2
Expensive Licensing
2
Missing Features
2
Expensive Queries
1
Learning Curve
1
Timescale features and usability ratings that predict user satisfaction
9.1
Ease of Use
Average: 8.3
9.9
Quality of Support
Average: 9.0
Seller Details
Seller
Timescale
Company Website
Year Founded
2015
HQ Location
New York, New York
Twitter
@TimescaleDB
8,634 Twitter followers
LinkedIn® Page
www.linkedin.com
158 employees on LinkedIn®
  • 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
    8.5
    Ease of Use
    Average: 8.3
    8.9
    Quality of Support
    Average: 9.0
  • 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
8.5
Ease of Use
Average: 8.3
8.9
Quality of Support
Average: 9.0
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®
Entry Level Price:Starting at $1.00
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    ClickHouse is the fastest and most resource efficient real-time database and data warehouse. ClickHouse is optimized to serve a wide range of data-intensive workloads, from powering interactive user-f

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 47% Mid-Market
    • 47% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • ClickHouse 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
    1
    Easy Integrations
    1
    Fast Querying
    1
    Integrations
    1
    Query Efficiency
    1
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • ClickHouse features and usability ratings that predict user satisfaction
    8.5
    Ease of Use
    Average: 8.3
    8.5
    Quality of Support
    Average: 9.0
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2021
    HQ Location
    Palo Alto, US
    Twitter
    @ClickhouseDB
    9,982 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    227 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

ClickHouse is the fastest and most resource efficient real-time database and data warehouse. ClickHouse is optimized to serve a wide range of data-intensive workloads, from powering interactive user-f

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 47% Mid-Market
  • 47% Small-Business
ClickHouse 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
1
Easy Integrations
1
Fast Querying
1
Integrations
1
Query Efficiency
1
Cons
This product has not yet received any negative sentiments.
ClickHouse features and usability ratings that predict user satisfaction
8.5
Ease of Use
Average: 8.3
8.5
Quality of Support
Average: 9.0
Seller Details
Year Founded
2021
HQ Location
Palo Alto, US
Twitter
@ClickhouseDB
9,982 Twitter followers
LinkedIn® Page
www.linkedin.com
227 employees on LinkedIn®
(31)4.3 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.

    Apache Druid is an open source real-time analytics database. Druid combines ideas from OLAP/analytic databases, timeseries databases, and search systems to create a complete real-time analytics soluti

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 52% Enterprise
    • 29% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Druid features and usability ratings that predict user satisfaction
    8.0
    Ease of Use
    Average: 8.3
    7.9
    Quality of Support
    Average: 9.0
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Druid
    Year Founded
    1998
    HQ Location
    Rio de Janeiro, Rio de Janeiro
    Twitter
    @druid
    4 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    62 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Apache Druid is an open source real-time analytics database. Druid combines ideas from OLAP/analytic databases, timeseries databases, and search systems to create a complete real-time analytics soluti

Users
No information available
Industries
  • Computer Software
Market Segment
  • 52% Enterprise
  • 29% Mid-Market
Druid features and usability ratings that predict user satisfaction
8.0
Ease of Use
Average: 8.3
7.9
Quality of Support
Average: 9.0
Seller Details
Seller
Druid
Year Founded
1998
HQ Location
Rio de Janeiro, Rio de Janeiro
Twitter
@druid
4 Twitter followers
LinkedIn® Page
www.linkedin.com
62 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Kinetica is the database for time & space. Kinetica makes it easy and fast to: - ingest massive amounts of IoT data and other contextual data sets - fuse data sets using spatial and temporal joi

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Kinetica 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
    Analytics Power
    2
    Data Analysis
    2
    Efficiency
    2
    Insights
    2
    Real-Time Data
    2
    Cons
    Expensive
    2
    Pricing Issues
    2
    Complexity
    1
    Complex Usage
    1
    Cost
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Kinetica features and usability ratings that predict user satisfaction
    8.3
    Ease of Use
    Average: 8.3
    7.5
    Quality of Support
    Average: 9.0
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Kinetica
    Year Founded
    2009
    HQ Location
    San Francisco, CA
    Twitter
    @KineticaHQ
    3,583 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    59 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Kinetica is the database for time & space. Kinetica makes it easy and fast to: - ingest massive amounts of IoT data and other contextual data sets - fuse data sets using spatial and temporal joi

Users
No information available
Industries
No information available
Market Segment
  • 100% Mid-Market
Kinetica 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
Analytics Power
2
Data Analysis
2
Efficiency
2
Insights
2
Real-Time Data
2
Cons
Expensive
2
Pricing Issues
2
Complexity
1
Complex Usage
1
Cost
1
Kinetica features and usability ratings that predict user satisfaction
8.3
Ease of Use
Average: 8.3
7.5
Quality of Support
Average: 9.0
Seller Details
Seller
Kinetica
Year Founded
2009
HQ Location
San Francisco, CA
Twitter
@KineticaHQ
3,583 Twitter followers
LinkedIn® Page
www.linkedin.com
59 employees on LinkedIn®