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Compare Amazon Timestream and Druid 
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At a Glance
Market Segments
Mid-Market (50.0% of reviews)
Enterprise (57.1% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Amazon Timestream
Star Rating
(22)3.7 out of 5
Market Segments
Mid-Market (50.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Amazon TimestreamDruid
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 DruidSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Druid excels in real-time data collection with a score of 8.5, while Amazon Timestream also performs well but slightly lower in this area, indicating that Druid may be the better choice for applications requiring immediate data insights.
- Reviewers mention that Druid's data schema management is rated at 8.8, showcasing its flexibility and efficiency in handling complex data structures, whereas Amazon Timestream's data types score lower at 7.8, suggesting potential limitations in data handling capabilities.
- G2 users highlight Druid's advanced data analytics features, particularly its built-in data analytics scoring 8.7, which allows for deeper insights directly within the platform, while Amazon Timestream's BI tool integration is rated lower at 7.0, indicating a less robust analytics environment.
- Users on G2 report that Druid's auto sharding feature scores 8.7, providing seamless scalability for large datasets, whereas Amazon Timestream's scalability is rated at 8.3, which may not be as efficient for rapidly growing data needs.
- Reviewers mention that Druid's integrated cache feature scores 8.9, enhancing performance by speeding up data retrieval, while Amazon Timestream, although effective, does not highlight a similar caching mechanism, potentially leading to slower query responses.
- Users say that Druid's support for Hadoop integration is rated at 8.8, making it a strong choice for organizations already utilizing Hadoop ecosystems, while Amazon Timestream's integration capabilities, although present, do not match the depth offered by Druid.
Pricing
Entry-Level Pricing
Amazon Timestream
No pricing availableDruid
No pricing availableFree Trial
Amazon Timestream
No trial information availableDruid
Free Trial is available
Ratings
Meets Requirements
8.5
13
8.4
20
Ease of Use
8.2
12
8.0
20
Ease of Setup
8.0
5
6.4
7
Ease of Admin
Not enough data
6.4
7
Quality of Support
8.1
13
7.9
18
Has the product been a good partner in doing business?
Not enough data
7.7
5
Product Direction (% positive)
6.1
12
7.3
17
Features by Category
Data Management
Not enough data
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
Integration
Not enough data
Not enough data
Not enough data
7.0
5
Not enough data
Not enough data
Deployment
Not enough data
Not enough data
Not enough data
8.3
5
Performance
Not enough data
8.3
5
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
Not enough data
Not enough data
Not enough data
Support
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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
Performance
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
Database Features
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
Storage
Not enough data
8.8
10
Not enough data
7.8
10
Availability
Not enough data
8.7
9
Not enough data
7.6
9
Not enough data
8.3
10
Performance
Not enough data
8.9
9
Security
Not enough data
8.1
8
Not enough data
9.3
7
Not enough data
8.7
10
Not enough data
8.5
8
Support
Not enough data
8.8
10
Not enough data
9.2
11
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
Configuration
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
Database Administration
Not enough data
Not enough data
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
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
Data Management
Not enough data
Not enough data
Not enough data
Not enough data
Database
Not enough data
8.5
10
Not enough data
8.7
10
Not enough data
8.8
8
Integrations
Not enough data
8.8
8
Not enough data
8.1
9
Platform
Not enough data
8.5
9
Not enough data
8.7
9
Not enough data
8.1
9
Processing
Not enough data
8.6
7
Not enough data
8.7
9
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
Amazon Timestream and Druid are categorized as Time Series Databases
Unique Categories
Amazon Timestream is categorized as Database as a Service (DBaaS)
Druid is categorized as Real-time Analytic Database, Columnar Databases, Relational Databases, Data Warehouse, and Big Data Processing and Distribution
Reviews
Reviewers' Company Size
Amazon Timestream
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Druid
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
25.0%
Sports
5.0%
Sporting Goods
5.0%
Research
5.0%
Marketing and Advertising
5.0%
Other
55.0%
Computer Software
28.6%
Telecommunications
10.7%
Leisure, Travel & Tourism
10.7%
Retail
7.1%
Information Technology and Services
7.1%
Other
35.7%
Alternatives
Discussions
Amazon Timestream has no discussions with answers
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
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