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Compare DataGrip and Tiger Data 
Featured Products
At a Glance
Market Segments
Mid-Market (41.1% of reviews)
Small-Business (78.8% of reviews)
Entry-Level Pricing
$229.00 1 User Per Year
Free Trial
DataGrip
Star Rating
(126)4.6 out of 5
Market Segments
Mid-Market (41.1% of reviews)
Pros & Cons
Entry-Level Pricing
$229.00 1 User Per Year
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 DataDataGrip vs Tiger Data
When assessing the two solutions, reviewers found Tiger Data easier to use, administer, and do business with overall. However, reviewers preferred the ease of set up with DataGrip.
- DataGrip and Tiger Data both meet the requirements of our reviewers at a comparable rate.
- When comparing quality of ongoing product support, reviewers felt that Tiger Data is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Tiger Data over DataGrip.
Pricing
Entry-Level Pricing
DataGrip
Businesses and Organizations
$229.00
1 User Per Year
$183 /2nd year and $ 137 /3rd year onwards
- Or pay monthly $22,90
- 50% discount for startups
- All Products Pack yearly subscription available from $ 779 per user, first year
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
DataGrip
Free Trial is available
Tiger Data
Free Trial is available
Ratings
Meets Requirements
9.3
104
9.3
27
Ease of Use
8.9
106
9.0
27
Ease of Setup
8.9
20
8.5
17
Ease of Admin
8.6
15
8.7
10
Quality of Support
8.8
74
9.5
24
Has the product been a good partner in doing business?
9.0
13
9.3
10
Product Direction (% positive)
8.6
102
9.1
27
Features by Category
Management
9.1
19
Not enough data
8.6
18
Not enough data
9.5
26
8.7
5
9.1
21
Not enough data
9.0
20
8.3
5
Maintenance
8.7
20
Not enough data
8.2
16
8.3
5
9.2
15
8.3
5
Security
8.8
16
Not enough data
8.7
19
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
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
DataGrip and Tiger Data are categorized as Database Management Systems (DBMS)
Unique Categories
DataGrip has no unique categories
Tiger Data is categorized as Real-time Analytic Database, Columnar Databases, Time Series Databases, Database as a Service (DBaaS), Relational Databases, Cloud Platform as a Service (PaaS), and Vector Database
Reviews
Reviewers' Company Size
DataGrip
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
25.8%
Information Technology and Services
13.7%
Hospital & Health Care
5.6%
Logistics and Supply Chain
4.8%
Marketing and Advertising
4.0%
Other
46.0%
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
Does PyCharm include DataGrip?
1 Comment
NQ
no its doesntRead more
How does DataGrip connect to database?
1 Comment
VB
It's very easy if you are using postgreql and any other db you already have your port number and username and password, so in datagrip first you select in...Read more
DataGrip has no more discussions with answers
Tiger Data has no discussions with answers
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