Apache Spark Streaming vs Software AG Apama comparison

Apache and Software AG are both solutions in the Streaming Analytics category. Apache is ranked #10 with an average rating of 8.2, while Software AG is ranked #21 with an average rating of 7.0. Apache holds a 3.4% mindshare in SA, compared to Software AG’s 0.2% mindshare. Additionally, 91% of Apache users are willing to recommend the solution, compared to 100% of Software AG users who would recommend it.

Apache Spark Streaming

Read 11 Apache Spark Streaming reviews

2,162 Views
1,579 Comparison Views

91% willing to recommend

Software AG Apama

Read 1 Software AG Apama review

140 Views
84 Comparison Views

100% willing to recommend

Apache Spark Streaming

Software AG Apama

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Apache Spark Streaming and Software AG Apama based on real PeerSpot user reviews.

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Buyer's Guide

Streaming Analytics

January 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Apache Spark Streaming

Ranking in Streaming Analytics

10th

Average Rating

8.0

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Software AG Apama

Ranking in Streaming Analytics

21st

Average Rating

7.0

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

CEP (1st)

Mindshare comparison

As of January 2025, in the Streaming Analytics category, the mindshare of Apache Spark Streaming is 3.4%, down from 4.3% compared to the previous year. The mindshare of Software AG Apama is 0.2%, down from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Streaming Analytics

Featured Reviews

AbhishekGupta

Engineering Leader at Walmart

Easy integration, beneficial auto-scaling, and good open-sourced support community

The service structure of Apache Spark Streaming can improve. There are a lot of issues with memory management and latency. There is no real-time analytics. We recommend it for the use cases where there is a five-second latency, but not for a millisecond, an IOT-based, or the detection anomaly-based. Flink as a service is much better. Apache Spark Streaming does not have auto-tuning. A customer needs to invest a lot, in terms of management and maintenance.

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Shekhar Pathak

Sr Executive Accounts at a computer software company with 1,001-5,000 employees

A tool to send out promotional notifications that need to improve areas, like deployment and maintenance

Software AG Apama should support offline scenarios as it may not always be possible to stay connected with the cloud. The solution should be deployed on an on-premises model, and it should be able to handle offline scenarios. If certain rules are set in Software AG Apama, then it should be able to execute them without being connected to an open internet source. With Software AG Apama, one may face challenges since it is difficult to find people with the right skill set to operate it. The solution also makes use of a proprietary programming language that is hard to trace in the market. It is better to go with the new options available in the market since Software AG Apama has become an old product. The ease of development and maintenance should be enhanced, but it is difficult due to the use of the proprietary programming language in the product.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Spark Streaming is critical, quite stable, full-featured, and scalable."

"As an open-source solution, using it is basically free."

"The solution is very stable and reliable."

"Apache Spark Streaming's most valuable feature is near real-time analytics. The developers can build APIs easily for a code-steaming pipeline. The solutions have an ecosystem of integration with other stock services."

"Apache Spark Streaming was straightforward in terms of maintenance. It was actively developed, and migrating from an older to a newer version was quite simple."

"It's the fastest solution on the market with low latency data on data transformations."

"The solution is better than average and some of the valuable features include efficiency and stability."

"Apache Spark Streaming is versatile. You can use it for competitive intelligence, gathering data from competitors, or for internal tasks like monitoring workflows."

More Apache Spark Streaming pros

"The most valuable feature of the solution is the ability that it provides its users to handle different kinds of rules."

Cons

"The cost and load-related optimizations are areas where the tool lacks and needs improvement."

"In terms of improvement, the UI could be better."

"The service structure of Apache Spark Streaming can improve. There are a lot of issues with memory management and latency. There is no real-time analytics. We recommend it for the use cases where there is a five-second latency, but not for a millisecond, an IOT-based, or the detection anomaly-based. Flink as a service is much better."

"There could be an improvement in the area of the user configuration section, it should be less developer-focused and more business user-focused."

"The debugging aspect could use some improvement."

"Integrating event-level streaming capabilities could be beneficial."

"It was resource-intensive, even for small-scale applications."

"The solution itself could be easier to use."

More Apache Spark Streaming cons

"The ease of development and maintenance should be enhanced, but it is difficult due to the use of the proprietary programming language in the product."

Pricing and Cost Advice

"On a scale from one to ten, where one is expensive, or not cost-effective, and ten is cheap, I rate the price a seven."

"People pay for Apache Spark Streaming as a service."

"I was using the open-source community version, which was self-hosted."

"Spark is an affordable solution, especially considering its open-source nature."

"A commercial license is required to operate Software AG Apama."

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Top Industries

By visitors reading reviews

Financial Services Firm

26%

Computer Software Company

20%

Manufacturing Company

University

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Apache Spark Streaming?

Apache Spark Streaming is versatile. You can use it for competitive intelligence, gathering data from competitors, or for internal tasks like monitoring workflows.

See all answers

What needs improvement with Apache Spark Streaming?

We don't have enough experience to be judgmental about its flaws, as we've only used stable features like batch micro-batch. Integration poses no problem; however, I don't use some features and can...

See all answers

What is your primary use case for Apache Spark Streaming?

We use Spark Streaming in a micro-batch region. It's not a full real-time system, but it offers high performance and low latency.

See all answers

What do you like most about Software AG Apama?

The most valuable feature of the solution is the ability that it provides its users to handle different kinds of rules.

See all answers

What is your experience regarding pricing and costs for Software AG Apama?

A commercial license is required to operate Software AG Apama.

See all answers

What needs improvement with Software AG Apama?

See all answers

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Apache Flink vs Apache Spark Streaming

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Apache Flink vs Software AG Apama

Compared 100% of the time

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Product Reports

Buyer's Guide

Streaming Analytics

January 2025

Download Apache Spark Streaming product report

Buyer's Guide

Streaming Analytics

January 2025

Download Software AG Apama product report

Also Known As

Spark Streaming

Progress Apama

Learn More

Apache

Software AG

Overview

Spark Streaming makes it easy to build scalable fault-tolerant streaming applications.

Enables both sell-side and buy-side traders to leverage proprietary trading strategies.

Sample Customers

UC Berkeley AMPLab, Amazon, Alibaba Taobao, Kenshoo, eBay Inc.

Okasan Online Securities

Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Confluent and others in Streaming Analytics. Updated: January 2025.

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