Real-time data monitoring may be hard and sometimes boring to deal with. However, with event stream processing software, companies can easily manage their ever-changing data with effective results that allow users to analyze their data differently. Here are some of the best event stream processing software available right now.


11+ Event Stream Processing Software

1. Amazon Kinesis

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Rating: 4.2/5

Price: $52.14/Month

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2. Confluent

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Rating: 4.5/5

Price: Custom

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3. Aiven for Apache Kafka

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Rating: 4.6/5

Price: $200/Month

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4. Spark Streaming

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Rating: 4/5

Price: Custom

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5. Google Cloud Dataflow

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Rating: 4.1/5

Price: Custom

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6. IBM Cloud Pak for Integration

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Rating: 5/5

Price: Free

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7. Lenses

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Rating: 4.8/5

Price: Custom

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8. SAS Event Stream Processing

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Rating: 4/5

Price: $80/Month

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9. Striim

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Rating: 5/5

Price: $100/Month

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10. Crosser

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Rating: 4.6/5

Price: Custom

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11. Hazelcast Jet

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Rating: 4.5/5

Price: $0.02/Month

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12. Kafka

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Rating: 4.4/5

Price: $1/Month

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What Is Event Stream Processing Software?

Event stream processing software is a data management software that allows users to process streaming data and manage them effectively. The SAS event streaming processing software allows users to examine how much their data has changed over time, as well as give insights into the data’s history and the changes it occurs within the streaming data.

Benefits

Event stream processing software allows users to process data in real-time, making the software useful in monitoring the changes it takes place in real-time. The streaming processing software also provides users insights, anomalies, and trends that take place within the stored streaming data. The complex event processing software also provides the capabilities for users to integrate their data into software such as data analytics software and application development software which can give real-time insights into how much their streaming data has changed over time. By looking at how much data has changed over time through real-time event processing software, companies can be guided to make decisions based on real-time data through the real-time event streaming software.

Features

Event streaming processing software should be able to connect to various core systems which can help users process data in real-time. The event stream analytics software should offer data analytics software tools that help users evaluate and process data with its performance. The event stream process architecture software should provide data visualization tools that enable users to visualize data and its flow for easy interpretation of data. The software should also be able to provide tools that allow users to validate their data delivery.

  • Connect to various core systems
  • Data analytics software tools
  • Data visualization tools
  • Validate data delivery

Top 10 Event Streaming Processing Software

1. Crosser

Crosser has around 25 employees and earns a revenue of around $5 million.

2. Google Cloud Dataflow

Google has 139,995 employees and earns revenue of $146.9 billion.

3. IBM Cloud Pak for Integration

IBM has 345,900 employees and earned a revenue of $73 billion in 2020.

4. SAS Event Stream Processing

SAS Institute has 13,939 employees and earned a revenue of $3.1 billion in 2019.

5. Spark Streaming

Spark Streaming is owned by Apache Software Foundation, which the parent company has 2,092 employees and earns annual revenue of $303.3 million.

6. Confluent

Confluent has 1,520 employees and earns annual revenue of $220.4 million.

7. Hazelcast Jet

Hazelcast Jet provides a speedy streaming processing software that allows companies to process data instantly. Hazelcast has 157 employees and earns annual revenue of $22.8 million.

8. Aiven for Apache Kafka

Aiven has 144 employees and earns annual revenue of $20.9 million.

9. Striim

Striim provides data integration software for companies that use hybrid cloud systems. Striim has 110 employees and earns annual revenue of $16 million.

10. Lenses

Lenses.io has 59 employees and earns annual revenue of $8.6 million.

FAQs

What is the difference between batch processing software and event stream processing software?

Batch processing software focuses on computers processing various tasks including archiving historical data while streaming processing software focuses on processing data in real-time. Batch processing software can process huge bulks of data while event stream processing software can process data continuously.

What other software does event streaming processing software integrate well with?

Software such as data analytics software and application development software integrates well with event streaming processing software that allows users to integrate their data for analyzing and development The event streaming processing software also integrates well with agile project management software for similar reasons.

How much does event streaming processing software cost?

Pricing for event streaming processing software can range from $1 per month to $200 per month or more, with some software providing custom pricing. Pricing for event streaming processing software varies depending on the features available and the intended target companies. Small companies may benefit from low-cost event streaming processing software while large companies may benefit from high-cost software.


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