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Top 10 IBM Event Streams Alternatives & Competitors

(12)4.3 out of 5

The Event Stream Processing Software solutions below are the most common alternatives that users and reviewers compare with IBM Event Streams. Other important factors to consider when researching alternatives to IBM Event Streams include integration. The best overall IBM Event Streams alternative is SAS Viya. Other similar apps like IBM Event Streams are Amazon Kinesis Data Streams, Red Hat OpenShift Streams for Apache Kafka, Aiven for Apache Kafka, and Confluent. IBM Event Streams alternatives can be found in Event Stream Processing Software but may also be in Analytics Platforms or Stream Analytics Software.

Best Paid & Free Alternatives to IBM Event Streams

SAS Viya
Amazon Kinesis Data Streams
Red Hat OpenShift Streams for Apache Kafka
Aiven for Apache Kafka
Confluent
Apache Kafka
Tray.ai
Spark Streaming

Top 10 Alternatives to IBM Event Streams Recently Reviewed By G2 Community

Browse options below. Based on reviewer data, you can see how IBM Event Streams stacks up to the competition, check reviews from current & previous users in industries like Information Technology and Services, Events Services, and Textiles, and find the best product for your business.

SAS Viya

By SAS Institute Inc.

(482)4.3 out of 5

As a cloud-native AI, analytics and data management platform, SAS Viya enables you to scale cost-effectively, increase productivity and innovate faster, backed by trust and transparency. SAS Viya makes it possible to integrate teams and technology enabling all users to work together successfully to turn critical questions into accurate decisions.

Categories in common with IBM Event Streams:

Event Stream Processing

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Reviewers say compared to IBM Event Streams, SAS Viya is:

Better at meeting requirements

See all SAS Viya reviews

Amazon Kinesis Data Streams

By Amazon Web Services (AWS)

(88)4.3 out of 5

Amazon Kinesis Data Streams is a serverless streaming data service that makes it easy to capture, process, and store data streams at any scale.

Categories in common with IBM Event Streams:

Event Stream Processing

Reviewers say compared to IBM Event Streams, Amazon Kinesis Data Streams is:

Better at meeting requirements

Better at support

See all Amazon Kinesis Data Streams reviews

Red Hat OpenShift Streams for Apache Kafka

By Red Hat

(26)4.4 out of 5

Red Hat® OpenShift® Streams for Apache Kafka is a managed cloud service that provides a streamlined developer experience for building, deploying, and scaling new cloud-native applications or modernizing existing systems.

Categories in common with IBM Event Streams:

Event Stream Processing

Reviewers say compared to IBM Event Streams, Red Hat OpenShift Streams for Apache Kafka is:

Better at support

Better at meeting requirements

See all Red Hat OpenShift Streams for Apache Kafka reviews

Aiven for Apache Kafka

By Aiven

(201)4.3 out of 5

Aiven for Apache Kafka is a fully managed streaming platform, deployable in the cloud of your choice. Snap it into your existing workflows with the click of a button, automate away the mundane tasks, and focus on building your core apps.

Categories in common with IBM Event Streams:

Event Stream Processing

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Reviewers say compared to IBM Event Streams, Aiven for Apache Kafka is:

Better at support

Better at meeting requirements

See all Aiven for Apache Kafka reviews

Confluent

By Confluent

(111)4.4 out of 5

A stream data platform.

Categories in common with IBM Event Streams:

Event Stream Processing

Reviewers say compared to IBM Event Streams, Confluent is:

Better at meeting requirements

See all Confluent reviews

Apache Kafka

By The Apache Software Foundation

(122)4.5 out of 5

Apache Kafka is an open-source stream processing platform developed by the Apache Software Foundation written in Scala and Java.

Categories in common with IBM Event Streams:

Event Stream Processing

Reviewers say compared to IBM Event Streams, Apache Kafka is:

Better at meeting requirements

See all Apache Kafka reviews

Tray.ai

By Tray.io

(156)4.5 out of 5

The Tray Platform empowers anyone to do more, faster by harnessing automation with the leading, low-code general automation platform.

Categories in common with IBM Event Streams:

Event Stream Processing

Reviewers say compared to IBM Event Streams, Tray.ai is:

Better at meeting requirements

Better at support

See all Tray.ai reviews

Spark Streaming

By The Apache Software Foundation

(40)4.2 out of 5

Spark Streaming brings Apache Spark's language-integrated API to stream processing, letting you write streaming jobs the same way you write batch jobs. It supports Java, Scala and Python. Spark Streaming recovers both lost work and operator state (e.g. sliding windows) out of the box, without any extra code on your part.

Categories in common with IBM Event Streams:

Event Stream Processing

Reviewers say compared to IBM Event Streams, Spark Streaming is:

Better at meeting requirements

Better at support

See all Spark Streaming reviews

Google Cloud Dataflow

By Google

(59)4.3 out of 5

Cloud Dataflow is a fully-managed service for transforming and enriching data in stream (real time) and batch (historical) modes with equal reliability and expressiveness.

Categories in common with IBM Event Streams:

Event Stream Processing

Reviewers say compared to IBM Event Streams, Google Cloud Dataflow is:

Better at meeting requirements

Better at support

See all Google Cloud Dataflow reviews

#10

Ably Realtime

By Ably Realtime

(67)4.8 out of 5

Ably is a realtime data delivery platform providing developers everything they need to create, deliver and manage complex projects. Ably solves the hardest parts so they don’t have to.

Categories in common with IBM Event Streams: