Introducing G2.ai, the future of software buying.Try now
Compare Druid 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.
ER/Studio
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
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.
Cloudways
Visit Website
At a Glance
Market Segments
Enterprise (57.1% of reviews)
Small-Business (78.8% of reviews)
Entry-Level Pricing
No pricing available
Free Trial
Druid
Star Rating
(31)4.3 out of 5
Market Segments
Enterprise (57.1% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about DruidTiger 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 Timescale excels in Ease of Use with a score of 9.0, while Druid falls behind with a score of 8.0. Reviewers mention that Timescale's intuitive interface makes it easier for small businesses to get started quickly.
- Reviewers mention that Timescale offers superior Quality of Support, achieving a perfect score of 10.0, compared to Druid's 7.9. Users on G2 highlight the responsiveness and helpfulness of Timescale's support team as a key advantage.
- G2 users note that Timescale's Data Compression capabilities score 8.0, which is beneficial for managing large datasets efficiently, while Druid does not provide specific metrics in this area, leading to concerns about data storage costs.
- Users say that Timescale's Real-Time Data Collection feature scores 8.5, making it a strong choice for applications requiring immediate data insights, whereas Druid's performance in this area is less emphasized in user reviews.
- Reviewers mention that Timescale's Data Replication feature scores 8.3, providing robust options for data redundancy, while Druid's replication capabilities are less frequently highlighted, raising questions about its reliability in critical applications.
- Users report that Timescale's Database Monitoring features score 8.8, allowing for better performance tracking, while Druid's monitoring tools are perceived as less comprehensive, which could impact users' ability to manage their databases effectively.
Pricing
Entry-Level Pricing
Druid
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
Druid
Free Trial is available
Tiger Data
Free Trial is available
Ratings
Meets Requirements
8.4
20
9.3
27
Ease of Use
8.0
20
9.0
27
Ease of Setup
6.4
7
8.5
17
Ease of Admin
6.4
7
8.7
10
Quality of Support
7.9
18
9.5
24
Has the product been a good partner in doing business?
7.7
5
9.3
10
Product Direction (% positive)
7.3
17
9.1
27
Features by Category
Data Management
8.3
5
Not enough data
8.0
5
Not enough data
8.7
5
Not enough data
8.7
5
Not enough data
Not enough data
Not enough data
8.0
5
Not enough data
Integration
Not enough data
Not enough data
7.0
5
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
Not enough data
8.3
5
Not enough data
Performance
8.3
5
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
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
Storage
8.8
10
Not enough data
7.8
10
Not enough data
Availability
8.7
9
Not enough data
7.6
9
Not enough data
8.3
10
Not enough data
Performance
8.9
9
Not enough data
Security
8.1
8
Not enough data
9.3
7
Not enough data
8.7
10
Not enough data
8.5
8
Not enough data
Support
8.8
10
Not enough data
9.2
11
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
8.5
10
Not enough data
8.7
10
Not enough data
8.8
8
Not enough data
Integrations
8.8
8
Not enough data
8.1
9
Not enough data
Platform
8.5
9
Not enough data
8.7
9
Not enough data
8.1
9
Not enough data
Processing
8.6
7
Not enough data
8.7
9
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
Druid and Tiger Data are categorized as Real-time Analytic Database, Time Series Databases, Columnar Databases, and Relational Databases
Unique Categories
Druid is categorized as Data Warehouse and Big Data Processing and Distribution
Tiger Data is categorized as Database as a Service (DBaaS), Database Management Systems (DBMS), Cloud Platform as a Service (PaaS), and Vector Database
Reviews
Reviewers' Company Size
Druid
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
28.6%
Telecommunications
10.7%
Leisure, Travel & Tourism
10.7%
Retail
7.1%
Information Technology and Services
7.1%
Other
35.7%
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
Is it good to use Druid (for a small dataset) as an in-memory database ?
1 Comment
DG
Yes it is good for medium size data sets to big scale datasetsRead more
Druid has no more 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.
