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Top 10 SAS Event Stream Processing Alternatives & Competitors

(7)4.3 out of 5

The Event Stream Processing Software solutions below are the most common alternatives that users and reviewers compare with SAS Event Stream Processing. Event Stream Processing Software is a widely used technology, and many people are seeking user friendly, sophisticated software solutions with data transformation, customization , and user, role, and access management. Other important factors to consider when researching alternatives to SAS Event Stream Processing include ease of use and reliability. The best overall SAS Event Stream Processing alternative is Aiven for Apache Kafka. Other similar apps like SAS Event Stream Processing are Tray.ai, Apache Kafka, Confluent, and IBM StreamSets. SAS Event Stream Processing alternatives can be found in Event Stream Processing Software but may also be in iPaaS Software or ETL Tools.

Best Paid & Free Alternatives to SAS Event Stream Processing

Aiven for Apache Kafka
Tray.ai
Apache Kafka
Confluent
IBM StreamSets
Amazon Kinesis Data Streams
Google Cloud Dataflow
Ably Realtime

Top 10 Alternatives to SAS Event Stream Processing Recently Reviewed By G2 Community

Browse options below. Based on reviewer data, you can see how SAS Event Stream Processing stacks up to the competition, check reviews from current & previous users in industries like Banking, Civil Engineering, and E-Learning, and find the best product for your business.

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 SAS Event Stream Processing:

Event Stream Processing

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Reviewers say compared to SAS Event Stream Processing, Aiven for Apache Kafka is:

More usable

See all Aiven for 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 SAS Event Stream Processing:

Event Stream Processing

Reviewers say compared to SAS Event Stream Processing, Tray.ai is:

Better at meeting requirements

See all Tray.ai 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 SAS Event Stream Processing:

Event Stream Processing

Reviewers say compared to SAS Event Stream Processing, Apache Kafka is:

Better at meeting requirements

More usable

See all Apache Kafka reviews

Confluent

By Confluent

(111)4.4 out of 5

A stream data platform.

Categories in common with SAS Event Stream Processing:

Event Stream Processing

Reviewers say compared to SAS Event Stream Processing, Confluent is:

Better at meeting requirements

More usable

See all Confluent reviews

IBM StreamSets

By IBM

(105)4.0 out of 5

StreamSets DataOps Platform is an end-to-end data engineering platform to design, deploy, operate and optimize data pipelines to deliver continuous data. StreamSets offers a single pane of glass for batch, streaming, CDC, ETL and ML pipelines with built-in data drift protection for full transparency and control across hybrid, on-premise and multi-cloud environments.

Categories in common with SAS Event Stream Processing:

Event Stream Processing

Reviewers say compared to SAS Event Stream Processing, IBM StreamSets is:

More usable

See all IBM StreamSets 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 SAS Event Stream Processing:

Event Stream Processing

Reviewers say compared to SAS Event Stream Processing, Amazon Kinesis Data Streams is:

Better at meeting requirements

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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 SAS Event Stream Processing:

Event Stream Processing

Reviewers say compared to SAS Event Stream Processing, Google Cloud Dataflow is:

Better at meeting requirements

See all Google Cloud Dataflow reviews

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 SAS Event Stream Processing:

Event Stream Processing

Reviewers say compared to SAS Event Stream Processing, Ably Realtime is:

More usable

Better at meeting requirements

See all Ably Realtime reviews

Nexla

By Nexla

(57)4.6 out of 5

Nexla monitors, adapts, and securely moves data between companies so you can focus on the real work

Categories in common with SAS Event Stream Processing:

Event Stream Processing

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Reviewers say compared to SAS Event Stream Processing, Nexla is:

More usable

Better at meeting requirements

See all Nexla reviews

#10

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 SAS Event Stream Processing: