Looking for alternatives or competitors to Aiven for Apache Flink? Other important factors to consider when researching alternatives to Aiven for Apache Flink include ease of use and reliability. The best overall Aiven for Apache Flink alternative is SAS Viya. Other similar apps like Aiven for Apache Flink are Tray.ai, Apache Kafka, IBM StreamSets, and Confluent. Aiven for Apache Flink alternatives can be found in Event Stream Processing Software but may also be in Analytics Platforms or iPaaS Software.
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.
The Tray Platform empowers anyone to do more, faster by harnessing automation with the leading, low-code general automation platform.
Apache Kafka is an open-source stream processing platform developed by the Apache Software Foundation written in Scala and Java.
A stream data platform.
Amazon Kinesis Data Streams is a serverless streaming data service that makes it easy to capture, process, and store data streams at any scale.
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.
Nexla monitors, adapts, and securely moves data between companies so you can focus on the real work
An Open Source Customer Data Routing and Processing Platform to simplify data management in a secure and extensible way
Set up the appropriate organizational models and governance practices to support agile integration, simplify the management of your integration architecture and reduce cost with the IBM Cloud Pak™ for Integration. Running on Red Hat® OpenShift®, the IBM Cloud Pak for Integration gives businesses complete choice and agility to deploy workloads on premises and on private and public clouds.