Apama Community Edition vs. IBM Streams

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Apama Community Edition
Score 7.0 out of 10
N/A
Apama Streaming Analytics is a platform for streaming analytics and intelligent automated action on fast-moving big data. Combining event processing, messaging, in-memory data management and visualization, this platform is presented as a complete solution to turn relentless data streams—like those produced by the Internet of Things (IoT)—into meaningful real-time metrics. It's community edition is still available, the commercial edition is not.N/A
IBM Streams
Score 9.0 out of 10
N/A
A real-time analytics solution that turns fast-moving volumes and varieties into insights. Streams evaluates a broad range of streaming data — unstructured text, video, audio, geospatial and sensor — helping organizations spot opportunities and risks as they happen. Its Eclipse-based, visual IDE lets solution architects visually build applications or use familiar programming languages like Java™, Scala or Python. Data engineers can connect with virtually any data source — whether…N/A
Pricing
Apama Community EditionIBM Streams
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Apama Community EditionIBM Streams
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional Details
More Pricing Information
Community Pulse
Apama Community EditionIBM Streams
Top Pros

No answers on this topic

Top Cons

No answers on this topic

Features
Apama Community EditionIBM Streams
Streaming Analytics
Comparison of Streaming Analytics features of Product A and Product B
Apama Community Edition
-
Ratings
IBM Streams
8.3
5 Ratings
3% above category average
Real-Time Data Analysis00 Ratings8.05 Ratings
Visualization Dashboards00 Ratings10.05 Ratings
Data Ingestion from Multiple Data Sources00 Ratings9.05 Ratings
Low Latency00 Ratings7.93 Ratings
Integrated Development Tools00 Ratings8.04 Ratings
Data wrangling and preparation00 Ratings8.04 Ratings
Linear Scale-Out00 Ratings7.72 Ratings
Machine Learning Automation00 Ratings9.05 Ratings
Data Enrichment00 Ratings7.04 Ratings
Best Alternatives
Apama Community EditionIBM Streams
Small Businesses
IBM Streams
IBM Streams
Score 9.0 out of 10
Amazon Kinesis
Amazon Kinesis
Score 8.0 out of 10
Medium-sized Companies
Confluent
Confluent
Score 7.4 out of 10
Confluent
Confluent
Score 7.4 out of 10
Enterprises
Spotfire Streaming
Spotfire Streaming
Score 8.1 out of 10
Spotfire Streaming
Spotfire Streaming
Score 8.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apama Community EditionIBM Streams
Likelihood to Recommend
-
(0 ratings)
9.0
(9 ratings)
User Testimonials
Apama Community EditionIBM Streams
Likelihood to Recommend
Software AG
No answers on this topic
IBM
Like the name says, it is good for streaming data and analyzing. It is great to look at tuples at a fast rate, filtering, calling other sources to enrich data, can call APIs, etc. Could do better for ingest use cases, can do better with guaranteed delivery, etc.
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Pros
Software AG
No answers on this topic
IBM
  • IBM Streams is well suited for providing wire-speed real-time end-to-end processing with sub-millisecond latency.
  • Streams is amazingly computationally efficient. In other words, you can typically do much more processing with a given amount of hardware than other technologies. In a recent linear-road benchmark Streams based application was able to provide greater capability than the Hadoop-based implementation using 10x less hardware. So even when latency isn't critical, using Streams might still make sense for reducing operational cost.
  • Streams comes out of the box with a large and comprehensive set of tested and optimized toolkits. Leveraging these toolkits not only reduces the development time and cost but also helps reduce project risk by eliminating the need for custom code which likely has not seen as much time in test or production.
  • In addition to the out of the box toolkits, there is an active developer community contributing additional specialized packages.
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Cons
Software AG
No answers on this topic
IBM
  • Documentation could be more extensive, with more examples, although overall this is not too bad compared to some of the alternative solutions.
  • Seems expensive to use in production.
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Alternatives Considered
Software AG
No answers on this topic
IBM
There are well explained tutorials to get the user started. If you are looking for business application ideas, the user community offers a diversity of applications. It is very easy to launch applications on the cloud and can integrate with other analytic tools available on Watson Studio. It takes away the burden of the technology so that users can focus on business innovations.
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Return on Investment
Software AG
No answers on this topic
IBM
  • Ability to do more with less
  • Admins and data analyst can now focus on more thinking tasks
  • No negative impacts yet
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ScreenShots