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At a Glance
Market Segments
Small-Business (37.7% of reviews)
Small-Business (78.8% of reviews)
Entry-Level Pricing
No pricing available
Free Trial
SingleStore
Star Rating
(118)4.5 out of 5
Market Segments
Small-Business (37.7% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about SingleStoreTiger 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 SingleStore excels in its query language capabilities, with a score of 9.4, allowing for complex queries and efficient data retrieval. In contrast, Timescale, while also strong, has a slightly lower score of 9.1, which some users feel limits their ability to perform advanced queries.
- Reviewers mention that Timescale shines in quality of support, achieving a perfect score of 10.0. Users appreciate the responsiveness and helpfulness of the support team, while SingleStore, with a score of 8.7, has received mixed feedback regarding the timeliness of their support responses.
- G2 users highlight SingleStore's performance analysis features, particularly its ability to handle high query loads with lower latency, which is crucial for real-time analytics. Timescale, while effective, has been noted to have slightly higher query latency in certain scenarios.
- Users on G2 report that Timescale's data replication capabilities are robust, scoring 8.8, which ensures data consistency across distributed systems. SingleStore, with a score of 8.8 as well, has been praised for its replication features, but some users feel it could be more intuitive to set up.
- Reviewers say that SingleStore's auto-scaling feature is a standout, allowing for seamless adjustments to workload demands, which is particularly beneficial for businesses experiencing fluctuating data loads. Timescale, while offering scalability, does not have the same level of automation, which some users find cumbersome.
- Users report that Timescale's availability features are exceptional, with a perfect score of 10.0, ensuring minimal downtime and high reliability. SingleStore, with a score of 9.2, is also reliable but has received feedback that its availability features could be improved for critical applications.
Pricing
Entry-Level Pricing
SingleStore
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
SingleStore
Free Trial is available
Tiger Data
Free Trial is available
Ratings
Meets Requirements
8.9
99
9.3
27
Ease of Use
8.7
98
9.0
27
Ease of Setup
8.4
59
8.5
17
Ease of Admin
8.1
58
8.7
10
Quality of Support
8.7
90
9.5
24
Has the product been a good partner in doing business?
8.8
52
9.3
10
Product Direction (% positive)
8.6
89
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
9.3
28
9.0
8
9.4
29
8.9
9
9.0
23
8.6
7
8.8
23
8.6
6
Support
8.6
23
8.3
6
9.3
25
8.8
7
8.7
22
8.8
7
8.8
18
8.6
6
Security
8.5
19
9.3
7
8.9
19
9.0
8
8.6
19
8.0
5
8.9
20
9.0
7
Performance
8.8
20
8.7
5
9.0
22
8.6
7
8.8
23
8.8
7
9.0
23
9.2
8
9.1
24
8.8
8
Database Features
9.0
70
9.6
8
9.2
69
9.2
10
8.9
69
9.3
10
9.1
68
9.1
9
8.9
61
8.9
9
8.8
66
9.1
9
9.1
70
9.4
9
Storage
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
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
Not enough data
Not enough data
Support
Not enough data
Not enough data
Not enough data
Not enough data
Data Indexing
Not enough data
Not enough data
Not enough data
Not enough data
Filters
Not enough data
Not enough data
Not enough data
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
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
SingleStore and Tiger Data are categorized as Real-time Analytic Database, Relational Databases, and Vector Database
Unique Categories
SingleStore has no unique categories
Tiger Data is categorized as Columnar Databases, Time Series Databases, Database as a Service (DBaaS), Database Management Systems (DBMS), and Cloud Platform as a Service (PaaS)
Reviews
Reviewers' Company Size
SingleStore
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
Information Technology and Services
21.9%
Computer Software
18.4%
Financial Services
12.3%
Internet
7.0%
Banking
6.1%
Other
34.2%
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
What is the relationship between MemSQL and MySQL?
2 Comments
LL
In fact, mysql is the best tool for working with a database. Therefore, I advise you to go to the site https://www.devart.com/dbforge/mysql/studio/ and...Read more
How to simplify scaling of MemSQL cluster?
1 Comment
FS
This question does seem particularly pertinent to microservices, as you are more likely to have multiple data stores. There are several parts to the answer....Read more
Can we Use Amazon Kinesis to ingest data into memsql
1 Comment
FS
The answer should certainly be yes, for most use cases. Kinesis is mentioned in this blog post: https://www.memsql.com/content/kafka/. For specifics, please...Read more
Tiger Data has no discussions with answers
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