Apache Spark Streaming vs. Apama Community Edition

Apache Spark Streaming

Apama Community Edition

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
Apache Spark Streaming	Score 8.7 out of 10	N/A	Apache Spark Streaming is a scalable fault-tolerant streaming processing system that natively supports both batch and streaming workloads.	N/A
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

Pricing

Apache Spark Streaming

Apama Community Edition

Editions & Modules

No answers on this topic

Offerings

Pricing Offerings
Apache Spark Streaming	Apama Community Edition
Free Trial
No	No
Free/Freemium Version
No	No
Premium Consulting/Integration Services
No	No

Entry-level Setup Fee

No setup fee

Additional Details

—

More Pricing Information

Community Pulse
	Apache Spark Streaming	Apama Community Edition
Considered Both Products	Apache Spark Streaming CR Christa Raine Business Manager Chose Apache Spark Streaming Apache Spark Streaming stands above all the huge data transformative tools because of its speed of processing which was quite slow in Presto as it takes a lot of our time in the data processing. Spark, comfortably provides integration with Jupyter like notebook environment. and … Incentivized Helpful?	Apama Community Edition No answer on this topic

Features

Apache Spark Streaming

Apama Community Edition

Streaming Analytics

Comparison of Streaming Analytics features of Product A and Product B
	Apache Spark Streaming 8.4 Ratings 5% above category average	Apama Community Edition - Ratings
Real-Time Data Analysis	8.00 Ratings	00 Ratings
Visualization Dashboards	9.00 Ratings	00 Ratings
Data Ingestion from Multiple Data Sources	9.00 Ratings	00 Ratings
Low Latency	8.00 Ratings	00 Ratings
Integrated Development Tools	8.00 Ratings	00 Ratings
Data wrangling and preparation	8.00 Ratings	00 Ratings
Linear Scale-Out	8.00 Ratings	00 Ratings
Machine Learning Automation	9.00 Ratings	00 Ratings
Data Enrichment	9.00 Ratings	00 Ratings

Best Alternatives
	Apache Spark Streaming	Apama Community Edition
Small Businesses	IBM Streams (discontinued) Score 9.0 out of 10	IBM Streams (discontinued) Score 9.0 out of 10
Medium-sized Companies	Confluent Score 9.9 out of 10	Confluent Score 9.9 out of 10
Enterprises	Spotfire Streaming Score 6.6 out of 10	Spotfire Streaming Score 6.6 out of 10
All Alternatives	View all alternatives	View all alternatives

User Ratings
	Apache Spark Streaming	Apama Community Edition
Likelihood to Recommend	9.0 (0 ratings)	- (0 ratings)

User Testimonials
	Apache Spark Streaming	Apama Community Edition
Likelihood to Recommend	Apache Spark Streaming is a tool that we are using for almost a year and is excellent in managing batch processing. It is user-friendly. Using it, we can even process our massive data in fractions of seconds. Its pricing is its other plus point. Only its In-memory processing is its demerit as it occupies a large memory. Incentivized CR Christa Raine Business Manager Read full review	No answers on this topic
Pros	It is amazing in solving complicated transformative logic. It is straightforward to program. It is a very quick tool. It processes large data within a fraction of seconds. Incentivized CR Christa Raine Business Manager Read full review	No answers on this topic
Cons	There must be more documentation. It is a profoundly complex tool. Its in-memory processing consumes massive memory. Incentivized CR Christa Raine Business Manager Read full review	No answers on this topic
Alternatives Considered	Apache Spark Streaming stands above all the huge data transformative tools because of its speed of processing which was quite slow in Presto as it takes a lot of our time in the data processing. Spark, comfortably provides integration with Jupyter like notebook environment. and Spark's combination with Jupyter and Python results in enhancing the speed . Incentivized CR Christa Raine Business Manager Read full review	No answers on this topic
Return on Investment	Cost and time-effective tool for our business. We can integrate with Jupyter with many conveniences. Its high-speed data processing has proved beneficial for us. Incentivized CR Christa Raine Business Manager Read full review	No answers on this topic
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