2021-03-19T22:33:34Z

What do you like most about Apache Spark Streaming?

Miriam Tover - PeerSpot reviewer
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PeerSpot user
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8 Answers

Oscar Estorach - PeerSpot reviewer
Real User
Top 10
2024-01-25T11:39:24Z
Jan 25, 2024

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

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Prashast Tripathi - PeerSpot reviewer
Real User
Top 10
2023-07-24T08:33:07Z
Jul 24, 2023

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

DR
Real User
Top 20
2023-06-08T10:44:00Z
Jun 8, 2023

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.

SB
Real User
Top 10
2022-11-21T18:14:54Z
Nov 21, 2022

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

AbhishekGupta - PeerSpot reviewer
Real User
Top 5Leaderboard
2022-10-08T01:13:40Z
Oct 8, 2022

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.

JV
Real User
Top 20
2022-04-11T16:30:40Z
Apr 11, 2022

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

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Oscar Estorach - PeerSpot reviewer
Real User
Top 10
2021-08-18T14:55:15Z
Aug 18, 2021

The solution is very stable and reliable.

VK
Real User
2021-03-19T22:33:34Z
Mar 19, 2021

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

Streaming Analytics
What is Streaming Analytics? Streaming analytics, also known as event stream processing (ESP), refers to the analyzing and processing of large volumes of data through the use of continuous queries. Traditionally, data is moved in batches. While batch processing may be an efficient method for handling huge pools of data, it is not suitable for time-sensitive, “in-motion” data that could otherwise be streamed, since that data can expire by the time it is processed. By using streaming...
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