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Apache Spark Streaming Reviews

Vendor: Apache
4.0 out of 5

What is Apache Spark Streaming?

Featured reviews

Apache Spark Streaming mindshare

As of January 2025, the mindshare of Apache Spark Streaming in the Streaming Analytics category stands at 3.4%, down from 4.3% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Streaming Analytics
 
 
Key learnings from peers

Valuable Features

Room for Improvement

Pricing

Service and Support

Review data by company size

By reviewers
By visitors reading reviews

Top industries

By visitors reading reviews
Financial Services Firm
25%
Computer Software Company
20%
Manufacturing Company
6%
University
5%
Healthcare Company
4%
Media Company
4%
Retailer
3%
Comms Service Provider
3%
Real Estate/Law Firm
3%
Insurance Company
3%
Government
3%
Educational Organization
2%
Energy/Utilities Company
2%
Transportation Company
2%
Recreational Facilities/Services Company
2%
Logistics Company
1%
Outsourcing Company
1%
Wholesaler/Distributor
1%
Construction Company
1%
Hospitality Company
1%
Non Profit
1%
Performing Arts
1%
Pharma/Biotech Company
1%
Non Tech Company
1%
Consumer Goods Company
1%
Sports Company
1%
Marketing Services Firm
1%
 

Apache Spark Streaming reviews

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Oscar Estorach - PeerSpot user
Chief Data-strategist and Director at Theworkshop.es
Verified user of Apache Spark Streaming
Jan 28, 2024
Versatile and flexible when dealing with large-scale data streams

Pros

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

Cons

"In terms of improvement, the UI could be better."
AbhishekGupta - PeerSpot user
Engineering Leader at Walmart
Verified user of Apache Spark Streaming
Oct 10, 2022
Easy integration, beneficial auto-scaling, and good open-sourced support community

Pros

"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."

Cons

"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."
Find out what your peers are saying about Streaming Analytics. Updated December 2024
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RK
DevOps engineer at Vvolve management consultants
Verified user of Apache Spark Streaming
Jun 7, 2024
Handles large datasets and is relatively easy to manage, especially with cloud technologies but scalability features could be enhanced

Pros

"Apache Spark's capabilities for machine learning are quite extensive and can be used in a low-code way."

Cons

"The debugging aspect could use some improvement."
DR
Chief Technology Officer at Teslon Technologies Pvt Ltd
Verified user of Apache Spark Streaming
Jun 9, 2023
Easy deployment as a cluster and good documentation

Pros

"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."

Cons

" It was resource-intensive, even for small-scale applications."
AM
Head of Data Science center of excellence at Ameriabank CJSC
Verified user of Apache Spark Streaming
Nov 26, 2024
Boosts performance with micro-batch streaming and detailed documentation

Pros

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

Cons

"We don't have enough experience to be judgmental about its flaws."
Prashast Tripathi - PeerSpot user
Data Engineer at DTDL
Verified user of Apache Spark Streaming
Jul 25, 2023
A robust solution that is configurable based on one's requirements with features like checkpointing and API

Pros

"Apache Spark Streaming has features like checkpointing and Streaming API that are useful."

Cons

"The cost and load-related optimizations are areas where the tool lacks and needs improvement."
PeerSpot user
Head of Data Science at a energy/utilities company with 10,001+ employees
Verified user of Apache Spark Streaming
Apr 11, 2022
Open-source, reliable, and enterprise-ready

Pros

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

Cons

"We would like to have the ability to do arbitrary stateful functions in Python."
Oscar Estorach - PeerSpot user
Chief Data-strategist and Director at Theworkshop.es
Verified user of Apache Spark Streaming
Aug 19, 2021
Mature and stable with good scalability

Pros

"The solution is very stable and reliable."

Cons

"The solution itself could be easier to use."