Introducing G2.ai, the future of software buying.Try now

Top 10 Amazon Kinesis Data Streams Alternatives & Competitors

(88)4.3 out of 5

If you are considering Amazon Kinesis Data Streams, you may also want to investigate similar alternatives or competitors to find the best solution. Other important factors to consider when researching alternatives to Amazon Kinesis Data Streams include integration. The best overall Amazon Kinesis Data Streams alternative is Confluent. Other similar apps like Amazon Kinesis Data Streams are Apache Kafka, Google Cloud Dataflow, Google Cloud Pub/Sub, and Spark Streaming. Amazon Kinesis Data Streams alternatives can be found in Stream Analytics Software but may also be in Event Stream Processing Software or Big Data Processing And Distribution Systems.

Best Paid & Free Alternatives to Amazon Kinesis Data Streams

Confluent
Apache Kafka
Google Cloud Dataflow
Google Cloud Pub/Sub
Spark Streaming
Apache Flink
Azure Event Hubs
Spotfire Analytics

Top 10 Alternatives to Amazon Kinesis Data Streams Recently Reviewed By G2 Community

Browse options below. Based on reviewer data, you can see how Amazon Kinesis Data Streams stacks up to the competition, check reviews from current & previous users in industries like Computer Software, Consumer Services, and Internet, and find the best product for your business.

Confluent

By Confluent

(111)4.4 out of 5

A stream data platform.

Categories in common with Amazon Kinesis Data Streams:

Reviewers say compared to Amazon Kinesis Data Streams, Confluent is:

Slower to reach roi

More expensive

More usable

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 Amazon Kinesis Data Streams:

Reviewers say compared to Amazon Kinesis Data Streams, Apache Kafka is:

More usable

See all Apache Kafka 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 Amazon Kinesis Data Streams:

Event Stream Processing

Reviewers say compared to Amazon Kinesis Data Streams, Google Cloud Dataflow is:

More expensive

Easier to do business with

Easier to admin

See all Google Cloud Dataflow reviews

Google Cloud Pub/Sub

By Google

(54)4.6 out of 5

Google's Cloud Pub/Sub is a simple, reliable, scalable foundation for stream analytics and event-driven computing systems.

Categories in common with Amazon Kinesis Data Streams:

Stream Analytics

Reviewers say compared to Amazon Kinesis Data Streams, Google Cloud Pub/Sub is:

Slower to reach roi

Easier to set up

Easier to admin

See all Google Cloud Pub/Sub 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 Amazon Kinesis Data Streams:

Event Stream Processing

Reviewers say compared to Amazon Kinesis Data Streams, Spark Streaming is:

Slower to reach roi

More expensive

See all Spark Streaming reviews

Apache Flink

By The Apache Software Foundation

(16)4.3 out of 5

Apache Flink is an open-source stream processing framework for distributed, high-performing, always-available, and accurate data streaming applications.

Categories in common with Amazon Kinesis Data Streams:

Stream Analytics

Reviewers say compared to Amazon Kinesis Data Streams, Apache Flink is:

Better at meeting requirements

More usable

See all Apache Flink reviews

Azure Event Hubs

By Microsoft

(13)4.2 out of 5

Azure Event Hubs is a scalable data streaming platform and event ingestion service, capable of receiving and processing millions of events per second. Event Hubs processes and stores events, data, or telemetry produced by distributed software and devices.

Categories in common with Amazon Kinesis Data Streams:

Stream Analytics

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

Better at support

Better at meeting requirements

See all Azure Event Hubs reviews

Spotfire Analytics

By Spotfire

(356)4.2 out of 5

Self-service data discovery. Fastest to actionable insight. Collaborative, predictive, event-driven data analysis - free from IT.

Categories in common with Amazon Kinesis Data Streams:

Stream Analytics

Reviewers say compared to Amazon Kinesis Data Streams, Spotfire Analytics is:

Slower to reach roi

More expensive

See all Spotfire Analytics reviews

HubSpot Operations Hub

By HubSpot

(467)4.5 out of 5

HubSpot Operations Hub allows you to keep all your contacts in 2-Way, Real Time Sync no matter if you use (Gmail/Outlook, Salesforce, Pipedrive, Constant Contact, Prosperworks, HubSpot, MailChimp or ActiveCampaign to name a few).

Categories in common with Amazon Kinesis Data Streams:

Stream Analytics

Reviewers say compared to Amazon Kinesis Data Streams, HubSpot Operations Hub is:

Slower to reach roi

More usable

Easier to do business with

See all HubSpot Operations Hub reviews

#10

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 Amazon Kinesis Data Streams: