The Stream Analytics Software solutions below are the most common alternatives that users and reviewers compare with Amazon Kinesis Data Streams. Other important factors to consider when researching alternatives to Amazon Kinesis Data Streams include integration and analytics. The best overall Amazon Kinesis Data Streams alternative is Confluent. Other similar apps like Amazon Kinesis Data Streams are Apache Kafka, Google Cloud Dataflow, Spark Streaming, and Google Cloud Pub/Sub. 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.
A stream data platform.
Apache Kafka is an open-source stream processing platform developed by the Apache Software Foundation written in Scala and Java.
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.
Google's Cloud Pub/Sub is a simple, reliable, scalable foundation for stream analytics and event-driven computing systems.
Apache Flink is an open-source stream processing framework for distributed, high-performing, always-available, and accurate data streaming applications.
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.
Self-service data discovery. Fastest to actionable insight. Collaborative, predictive, event-driven data analysis - free from IT.
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).
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.