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Compare KX and Tiger Data 
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At a Glance
Market Segments
Enterprise (58.0% of reviews)
Small-Business (78.8% of reviews)
Entry-Level Pricing
$0.00
Free Trial
KX
Star Rating
(51)4.6 out of 5
Market Segments
Enterprise (58.0% of reviews)
Pros & Cons
Entry-Level Pricing
$0.00
Browse all 3 pricing plansTiger 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 KX excels in query latency, achieving a score of 9.8, which reviewers mention significantly enhances performance for real-time analytics. In contrast, Timescale, while still strong, does not match this level of performance.
- Reviewers mention that Timescale offers superior quality of support, with a perfect score of 10.0, indicating that users find their support team highly responsive and effective, whereas KX scores 8.7 in this area.
- G2 users highlight that KX has a robust data replication feature, scoring 9.0, which is crucial for enterprise-level applications. Timescale also performs well but does not have the same level of user satisfaction in this aspect.
- Users on G2 report that Timescale's ease of use is a standout feature, scoring 9.0, making it more accessible for small businesses. KX, with a score of 6.8, is perceived as more complex, which may deter less technical users.
- Reviewers mention that KX's data modeling capabilities are highly rated at 8.9, providing advanced options for users needing complex data structures. Timescale, while effective, does not offer the same depth in this area.
- Users say that Timescale's auto recovery feature, scoring 7.6, is a critical advantage for maintaining data integrity, although KX's performance in this area is slightly lower, which could be a concern for users prioritizing data safety.
Pricing
Entry-Level Pricing
KX
Free
$0.00
Rate-limited plan for quickly and easily getting started with kdb+.
- Fastest query speed
- In-memory compute engine
- Extreme scalability
Tiger 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
KX
Free Trial is available
Tiger Data
Free Trial is available
Ratings
Meets Requirements
8.9
35
9.3
27
Ease of Use
6.7
38
9.0
27
Ease of Setup
8.5
24
8.5
17
Ease of Admin
8.9
14
8.7
10
Quality of Support
8.7
33
9.5
24
Has the product been a good partner in doing business?
9.0
12
9.3
10
Product Direction (% positive)
8.6
42
9.1
27
Features by Category
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
Storage
8.8
20
Not enough data
9.5
22
Not enough data
Availability
7.9
14
Not enough data
7.6
16
Not enough data
9.0
16
Not enough data
Performance
9.1
17
Not enough data
Security
8.0
15
Not enough data
7.9
18
Not enough data
7.7
14
Not enough data
8.2
16
Not enough data
Support
7.7
11
Not enough data
9.1
16
Not enough data
Data Indexing
8.0
9
Not enough data
9.3
10
Not enough data
Filters
8.5
10
Not enough data
9.1
9
Not enough data
Query latency
8.8
10
Not enough data
8.3
9
Not enough data
Data latency
8.9
9
Not enough data
8.0
9
Not enough data
Connectors
8.0
9
Not enough data
7.0
9
Not enough data
Scale
8.9
9
Not enough data
8.3
10
Not enough data
Architecture
8.1
9
Not enough data
8.3
9
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
Configuration
Not enough data
8.6
15
Not enough data
8.5
9
Not enough data
8.8
15
Not enough data
8.3
9
Not enough data
7.9
13
Database Administration
Not enough data
8.3
11
Not enough data
7.6
9
Not enough data
8.3
11
Availability
Not enough data
8.9
11
Not enough data
8.9
11
Not enough data
8.5
8
Not enough data
9.2
12
Security
Not enough data
8.8
8
Not enough data
7.1
11
Not enough data
8.6
7
Data Management
Not enough data
8.3
7
Not enough data
8.3
9
Categories
Categories
Shared Categories
KX and Tiger Data are categorized as Columnar Databases, Time Series Databases, Real-time Analytic Database, and Vector Database
Unique Categories
KX is categorized as Time Series Intelligence and Stream Analytics
Tiger Data is categorized as Database as a Service (DBaaS), Database Management Systems (DBMS), Relational Databases, and Cloud Platform as a Service (PaaS)
Reviews
Reviewers' Company Size
KX
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
Financial Services
46.0%
Banking
12.0%
Capital Markets
10.0%
Investment Banking
6.0%
Investment Management
4.0%
Other
22.0%
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
KX has no discussions with answers
Tiger Data has no discussions with answers
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