Introducing G2.ai, the future of software buying.Try now
Compare DataStax and Tiger Data 
Featured Products
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
RaimaDB
Visit Website
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
Dragonfly
Visit Website
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
QuestDB
Visit Website
At a Glance
Market Segments
Small-Business (47.8% of reviews)
Small-Business (78.8% of reviews)
Entry-Level Pricing
No pricing available
Free Trial
DataStax
Star Rating
(46)4.6 out of 5
Market Segments
Small-Business (47.8% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DataStaxTiger Data
Star Rating
(33)4.6 out of 5
Market Segments
Small-Business (78.8% of reviews)
Pros & Cons
Entry-Level Pricing
Free Trial
Learn more about Tiger DataSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that DataStax excels in its real-time processing capabilities, scoring 9.0, which allows for efficient handling of live data streams. In contrast, Timescale also performs well but has a slightly lower score in this area.
- Reviewers mention that Timescale offers superior quality of support, achieving a perfect score of 10.0, while DataStax scores 8.8. This indicates that users find Timescale's support team more responsive and helpful.
- G2 users highlight that DataStax has a robust data replication feature, scoring 8.3, which is essential for maintaining data integrity across distributed systems. Timescale, however, shines with a higher score of 9.0 in this area, indicating a more reliable replication process.
- Users on G2 report that Timescale's disaster recovery options are more comprehensive, with a perfect score of 10.0, compared to DataStax's score of 8.3. This suggests that Timescale provides better solutions for data recovery in case of failures.
- Reviewers mention that DataStax's data visualization tools are highly effective, contributing to its overall functionality. However, Timescale's focus on advanced data analytics with a score of 7.2 indicates that it may not be as strong in this area, which could be a consideration for users needing robust analytics capabilities.
- Users say that DataStax's scalability is impressive, with a score of 9.5, making it suitable for growing businesses. Timescale also performs well in scalability but does not match DataStax's performance, which could be a deciding factor for users anticipating rapid growth.
Pricing
Entry-Level Pricing
DataStax
No pricing availableTiger Data
Free
Free Trial
30 day free trial. No credit card required.
- Create a fully-managed Timescale instance in 30 seconds.
- Ingest data at petabyte-scale with rock-solid reliability
- Analyze data using advanced time-series capabilities
Free Trial
DataStax
No trial information availableTiger Data
Free Trial is available
Ratings
Meets Requirements
9.2
42
9.3
27
Ease of Use
8.7
44
9.0
27
Ease of Setup
8.7
36
8.5
17
Ease of Admin
8.2
20
8.7
10
Quality of Support
8.9
43
9.5
24
Has the product been a good partner in doing business?
9.5
22
9.3
10
Product Direction (% positive)
9.2
43
9.1
27
Features by Category
Data
8.0
5
Not enough data
8.7
5
Not enough data
9.3
5
Not enough data
9.0
5
Not enough data
Analytics
Feature Not Available
Not enough data
Functionality
9.3
7
Not enough data
8.6
7
Not enough data
9.0
7
Not enough data
9.5
7
Not enough data
8.8
7
Not enough data
Feature Not Available
Not enough data
Agentic AI - Database Monitoring
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
8.3
5
Not enough data
Feature Not Available
Not enough data
9.7
5
Not enough data
Feature Not Available
Not enough data
Solution Provision
Not enough data
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
8.7
5
Not enough data
Not enough data
Not enough data
8.3
5
Maintenance
Not enough data
Not enough data
Not enough data
8.3
5
Not enough data
8.3
5
Security
Not enough data
Not enough data
Not enough data
8.7
5
Management
Not enough data
9.0
8
Not enough data
8.9
9
Not enough data
8.6
7
Not enough data
8.6
6
Support
Not enough data
8.3
6
Not enough data
8.8
7
Not enough data
8.8
7
Not enough data
8.6
6
Security
Not enough data
9.3
7
Not enough data
9.0
8
Not enough data
8.0
5
Not enough data
9.0
7
Performance
Not enough data
8.7
5
Not enough data
8.6
7
Not enough data
8.8
7
Not enough data
9.2
8
Not enough data
8.8
8
Database Features
Not enough data
9.6
8
Not enough data
9.2
10
Not enough data
9.3
10
Not enough data
9.1
9
Not enough data
8.9
9
Not enough data
9.1
9
Not enough data
9.4
9
Data Management
Not enough data
Not enough data
Not enough data
Not enough data
Availability
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance
Feature Not Available
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Not enough data
Not enough data
Support
Not enough data
Not enough data
Not enough data
Not enough data
Data Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Availability
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance
Feature Not Available
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Not enough data
Not enough data
Support
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Availability
Not enough data
Not enough data
Not enough data
Not enough data
Performance
Feature Not Available
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Not enough data
Not enough data
Support
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Storage
8.9
6
Not enough data
9.2
6
Not enough data
Availability
8.6
6
Not enough data
8.7
5
Not enough data
9.0
5
Not enough data
Performance
Feature Not Available
Not enough data
Security
9.3
5
Not enough data
9.0
5
Not enough data
9.0
5
Not enough data
Not enough data
Not enough data
Support
8.7
5
Not enough data
9.0
5
Not enough data
Storage
Not enough data
Not enough data
Scalability
Not enough data
Not enough data
Not enough data
Not enough data
Security
Feature Not Available
Not enough data
Support
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Wide Column Database
Not enough data
Not enough data
Data Indexing
9.6
19
Not enough data
9.6
19
Not enough data
Filters
9.3
19
Not enough data
9.5
19
Not enough data
Query latency
Not enough data
Not enough data
Not enough data
Not enough data
Data latency
Not enough data
Not enough data
Not enough data
Not enough data
Connectors
Not enough data
Not enough data
Not enough data
Not enough data
Scale
Not enough data
Not enough data
Not enough data
Not enough data
Architecture
Not enough data
Not enough data
Not enough data
Not enough data
Development
Not enough data
8.7
5
Not enough data
7.7
5
Not enough data
7.7
5
Not enough data
8.7
5
Not enough data
Not enough data
Database
Not enough data
8.8
7
Not enough data
8.8
7
Not enough data
8.3
5
Not enough data
8.7
5
Not enough data
8.6
7
Infrastructure
Not enough data
8.9
6
Not enough data
9.0
5
Not enough data
8.1
6
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Reporting
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Configuration
9.4
11
8.6
15
8.8
11
8.5
9
8.8
11
8.8
15
Feature Not Available
8.3
9
8.2
11
7.9
13
Database Administration
8.5
10
8.3
11
9.2
11
7.6
9
8.0
11
8.3
11
Availability
9.7
11
8.9
11
Feature Not Available
8.9
11
Feature Not Available
8.5
8
8.9
11
9.2
12
Security
Feature Not Available
8.8
8
8.9
9
7.1
11
Feature Not Available
8.6
7
Data Management
8.5
8
8.3
7
7.6
7
8.3
9
Building Reports
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Database Features
Not enough data
9.6
8
Not enough data
9.2
10
Not enough data
9.3
10
Not enough data
9.1
9
Not enough data
8.9
9
Not enough data
9.1
9
Not enough data
9.4
9
Categories
Categories
Shared Categories
DataStax and Tiger Data are categorized as Columnar Databases, Time Series Databases, Database as a Service (DBaaS), and Vector Database
Unique Categories
DataStax is categorized as Data Replication, Database Monitoring, Event Stream Processing, Key Value Databases, Document Databases, Graph Databases, and Wide Column Database
Tiger Data is categorized as Real-time Analytic Database, Database Management Systems (DBMS), Relational Databases, and Cloud Platform as a Service (PaaS)
Reviews
Reviewers' Company Size
DataStax
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Tiger Data
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Computer Software
23.9%
Information Technology and Services
10.9%
Retail
8.7%
Consulting
4.3%
Entertainment
4.3%
Other
47.8%
Computer Software
24.2%
Financial Services
21.2%
Information Technology and Services
12.1%
Consulting
6.1%
Renewables & Environment
6.1%
Other
30.3%
Alternatives
Discussions
DataStax has no discussions with answers
Tiger Data has no discussions with answers
Hunting for software insights?
With over 3 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
