Compare Amazon Timestream and Druid 
At a Glance
Market Segments
Mid-Market (41.2% of reviews)
Enterprise (57.1% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Amazon Timestream
Star Rating
(36)4.2 out of 5
Market Segments
Mid-Market (41.2% of reviews)
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)
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, making it a preferred choice for applications requiring immediate data insights. In contrast, Amazon Timestream, while capable, does not match this level of performance in real-time capabilities.
- Reviewers mention that Druid's data lake integration is rated at 8.8, which is significantly higher than Amazon Timestream's capabilities. This makes Druid a better option for organizations looking to leverage large datasets effectively.
- G2 users highlight that Druid's ease of setup is rated at 6.4, which is notably lower than Amazon Timestream's impressive score of 9.2. This suggests that users may find Timestream more user-friendly when getting started.
- Users on G2 report that Druid's data replication features score 8.3, indicating solid performance, but Amazon Timestream shines with a higher score in data management overall, particularly in data quality and integration.
- Reviewers mention that Druid's built-in data analytics score of 8.7 is a strong point, but Amazon Timestream's advanced analytics capabilities are often highlighted as superior, particularly for users needing complex analytical functions.
- Users say that Druid's auto sharding feature is rated at 8.7, which is beneficial for scalability, while Amazon Timestream's cloud processing score of 8.6 indicates robust performance in cloud environments, making it a strong contender for cloud-based applications.
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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
9.0
26
8.4
20
Ease of Use
8.9
25
8.0
20
Ease of Setup
9.2
16
6.4
7
Ease of Admin
8.8
15
6.4
7
Quality of Support
8.6
26
7.9
18
Has the product been a good partner in doing business?
8.7
15
7.7
5
Product Direction (% positive)
8.1
25
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
Feature Not Available
Not enough data
Feature Not Available
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
17.6%
Information Technology and Services
14.7%
Education Management
5.9%
Chemicals
5.9%
Automotive
5.9%
Other
50.0%
Computer Software
28.6%
Telecommunications
10.7%
Leisure, Travel & Tourism
10.7%
Retail
7.1%
Information Technology and Services
7.1%
Other
35.7%
Most Helpful Reviews
Amazon Timestream
Most Helpful Favorable Review
Umesh S.
Verified User in Computer Software
Quite fast and easy accessible to save and extract data as per our requirement.
Most Helpful Critical Review
nitin S.
Verified User in Computer Software
Still needs to improve, cannot work with home grown device diy IoT devices
Druid
Most Helpful Favorable Review
Verified User in Computer Software
1. Pre-aggregate capability which allows to pre-calculate aggregations and save aggregates in segments. Thus, reduces compute and storage costs. 2. Druid UI (0.14+) which has many improvements and allows creating ingestion_specs via UI 3. REST interface...
Most Helpful Critical Review
Verified User in Marketing and Advertising
The ability to modify its configuration could cause a serious threat to the security. Creation of personalized protocol also would mean that new bugs will be created. So we will need more debuggers.
Umesh S.
Verified User in Computer Software
Quite fast and easy accessible to save and extract data as per our requirement.
Verified User in Computer Software
1. Pre-aggregate capability which allows to pre-calculate aggregations and save aggregates in segments. Thus, reduces compute and storage costs. 2. Druid UI (0.14+) which has many improvements and allows creating ingestion_specs via UI 3. REST interface...
nitin S.
Verified User in Computer Software
Still needs to improve, cannot work with home grown device diy IoT devices
Verified User in Marketing and Advertising
The ability to modify its configuration could cause a serious threat to the security. Creation of personalized protocol also would mean that new bugs will be created. So we will need more debuggers.
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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