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Compare Apache Beam and Druid 
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At a Glance
Market Segments
Mid-Market (42.9% of reviews)
Enterprise (57.1% of reviews)
Pros & Cons
Not enough data
Not enough data
Entry-Level Pricing
No pricing available
No pricing available
Apache Beam
Star Rating
(16)4.1 out of 5
Market Segments
Mid-Market (42.9% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Apache BeamDruid
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 Apache Beam excels in data integration with a score of 8.3, allowing seamless connections to various data sources, while Druid, although strong in real-time data collection with a score of 8.5, does not match Beam's versatility in integration.
- Reviewers mention that Druid shines in real-time data analytics, particularly with its built-in capabilities, scoring 8.8 in data lake integration, which is crucial for enterprises needing immediate insights. In contrast, Apache Beam's data lake score is lower at 7.1, indicating less focus on real-time analytics.
- G2 users highlight that Apache Beam's auto sharding feature, rated at 8.7, significantly enhances its performance in managing large datasets, whereas Druid's auto recovery feature, rated at 7.6, is seen as less robust in comparison.
- Users on G2 report that Druid's query latency is notably lower, making it a preferred choice for applications requiring fast data retrieval, while Apache Beam's performance in this area is less emphasized, leading to potential delays in data processing.
- Reviewers say that Druid's strong support for BI tool integration, scoring 8.7, makes it a favorite among users looking to leverage business intelligence, while Apache Beam's integration capabilities, rated at 7.0, may not meet the same level of demand for BI tools.
- Users mention that Apache Beam's cloud processing capabilities, rated at 8.2, provide flexibility for deployment, but Druid's higher score of 8.6 in workload processing indicates a more efficient handling of data tasks in cloud environments.
Pricing
Entry-Level Pricing
Apache Beam
No pricing availableDruid
No pricing availableFree Trial
Apache Beam
No trial information availableDruid
Free Trial is available
Ratings
Meets Requirements
8.6
12
8.4
20
Ease of Use
7.8
12
8.0
20
Ease of Setup
Not enough data
6.4
7
Ease of Admin
Not enough data
6.4
7
Quality of Support
7.6
11
7.9
18
Has the product been a good partner in doing business?
Not enough data
7.7
5
Product Direction (% positive)
8.1
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
Database
7.7
10
8.5
10
8.0
10
8.7
10
7.1
7
8.8
8
Integrations
6.0
5
8.8
8
7.3
5
8.1
9
Platform
8.3
6
8.5
9
8.1
7
8.7
9
7.3
5
8.1
9
Processing
8.2
10
8.6
7
8.1
7
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
Apache Beam and Druid are categorized as Big Data Processing and Distribution
Unique Categories
Apache Beam has no unique categories
Druid is categorized as Real-time Analytic Database, Time Series Databases, Columnar Databases, Relational Databases, and Data Warehouse
Reviews
Reviewers' Company Size
Apache Beam
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
Retail
14.3%
Logistics and Supply Chain
14.3%
Information Technology and Services
14.3%
Computer Software
14.3%
Telecommunications
7.1%
Other
35.7%
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
Apache Beam 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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