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At a Glance
Market Segments
Enterprise (45.6% of reviews)
Small-Business (78.8% of reviews)
Entry-Level Pricing
No pricing available
Free Trial
Microsoft SQL Server
Star Rating
(2,252)4.4 out of 5
Market Segments
Enterprise (45.6% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Microsoft SQL ServerTiger Data
Star Rating
(33)4.6 out of 5
Market Segments
Small-Business (78.8% of reviews)
Entry-Level Pricing
Free Trial
Learn more about Tiger DataSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Microsoft SQL Server excels in its Query Language with a score of 9.2, making it a preferred choice for complex queries, while Timescale also performs well with a score of 9.1, but users mention that its focus on time-series data can limit flexibility in other query types.
- Reviewers mention that Timescale shines in Real-Time Data Collection with a score of 8.7, which is particularly beneficial for applications requiring immediate data insights, whereas Microsoft SQL Server, while robust, does not emphasize real-time capabilities to the same extent.
- G2 users highlight the superior Quality of Support from Timescale, scoring a perfect 10.0, with many reviewers praising the responsiveness and helpfulness of the support team, compared to Microsoft SQL Server's score of 8.3, where users report longer wait times for assistance.
- Users on G2 report that Microsoft SQL Server's Backup and Recovery features are highly reliable, scoring 9.0, which is crucial for enterprise environments, while Timescale, although effective, does not have the same level of user confidence in its backup processes.
- Reviewers mention that Timescale's Data Replication capabilities are rated at 8.8, which is particularly useful for distributed systems, while Microsoft SQL Server also scores 8.8 but users note that its replication setup can be more complex and less intuitive.
- Users say that Microsoft SQL Server's Ease of Use is rated at 8.6, which is favorable for new users, but Timescale edges ahead with a score of 9.0, with many users appreciating its straightforward setup and user-friendly interface.
Pricing
Entry-Level Pricing
Microsoft SQL Server
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
Microsoft SQL Server
No trial information availableTiger Data
Free Trial is available
Ratings
Meets Requirements
9.0
1,847
9.3
27
Ease of Use
8.6
1,863
9.0
27
Ease of Setup
8.1
984
8.5
17
Ease of Admin
8.3
945
8.7
10
Quality of Support
8.3
1,641
9.5
24
Has the product been a good partner in doing business?
8.4
895
9.3
10
Product Direction (% positive)
8.4
1,818
9.1
27
Features by Category
Management
8.9
150
Not enough data
8.9
150
Not enough data
9.2
155
8.7
5
8.9
150
Not enough data
8.9
152
8.3
5
Maintenance
8.9
150
Not enough data
9.0
155
8.3
5
9.0
151
8.3
5
Security
8.9
149
Not enough data
9.1
151
8.7
5
Management
9.1
147
9.0
8
9.2
148
8.9
9
8.8
134
8.6
7
8.9
140
8.6
6
Support
8.6
143
8.3
6
9.1
147
8.8
7
8.7
142
8.8
7
8.5
146
8.6
6
Security
8.9
146
9.3
7
9.1
146
9.0
8
8.9
143
8.0
5
9.0
146
9.0
7
Performance
8.8
142
8.7
5
8.9
139
8.6
7
8.8
145
8.8
7
8.7
143
9.2
8
8.9
144
8.8
8
Database Features
8.9
1282
9.6
8
9.0
1287
9.2
10
8.9
1294
9.3
10
8.7
1261
9.1
9
8.8
1263
8.9
9
8.8
1269
9.1
9
9.1
1289
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
Database
8.6
55
Not enough data
8.8
56
Not enough data
8.4
53
Not enough data
Integrations
7.8
44
Not enough data
8.3
44
Not enough data
Platform
8.3
49
Not enough data
8.6
52
Not enough data
8.3
44
Not enough data
Processing
8.6
51
Not enough data
8.5
54
Not enough data
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
Categories
Categories
Shared Categories
Microsoft SQL Server and Tiger Data are categorized as Relational Databases and Database Management Systems (DBMS)
Unique Categories
Microsoft SQL Server is categorized as Big Data Processing and Distribution and On-Premise Data Integration
Tiger Data is categorized as Real-time Analytic Database, Columnar Databases, Time Series Databases, Database as a Service (DBaaS), Cloud Platform as a Service (PaaS), and Vector Database
Reviews
Reviewers' Company Size
Microsoft SQL Server
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
24.2%
Computer Software
13.7%
Hospital & Health Care
5.4%
Financial Services
4.3%
Higher Education
2.9%
Other
49.6%
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
How could I make much easier the experience with the order of my database?
4 Comments
AF
You can create different tables with your employee information eg employee table, employee roles etc. Then you can create a single view that will pull data...Read more
What is the best way to save your queries?
4 Comments
CA
I recommend that you use the saved querys in plain text or .sql or txt format you can use the same sql server query creator or a notepad +++ tool, they are...Read more
How can I work on the same query if the connection is lost (timeout) and then I reconnect?
4 Comments
JE
When this happens to me in SQL Server Management Studio, I just have to type USE {your database name here} and then select only that statement and execute...Read more
Tiger Data has no discussions with answers
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