The Big Data Processing And Distribution Systems solutions below are the most common alternatives that users and reviewers compare with Google Cloud Dataflow. Other important factors to consider when researching alternatives to Google Cloud Dataflow include features. The best overall Google Cloud Dataflow alternative is Databricks Data Intelligence Platform. Other similar apps like Google Cloud Dataflow are Apache Kafka, Amazon Kinesis Data Streams, Snowflake, and Amazon EMR. Google Cloud Dataflow alternatives can be found in Big Data Processing And Distribution Systems but may also be in Event Stream Processing Software or Data Warehouse Solutions.
Making big data simple
Apache Kafka is an open-source stream processing platform developed by the Apache Software Foundation written in Scala and Java.
Amazon Kinesis Data Streams is a serverless streaming data service that makes it easy to capture, process, and store data streams at any scale.
Amazon EMR is a web-based service that simplifies big data processing, providing a managed Hadoop framework that makes it easy, fast, and cost-effective to distribute and process vast amounts of data across dynamically scalable Amazon EC2 instances.
A stream data platform.
Control-M simplifies application workflow orchestration. It makes it easy to define, schedule, manage and monitor workflows, ensuring visibility and reliability, and improving SLAs.
SQL Server 2017 brings the power of SQL Server to Windows, Linux and Docker containers for the first time ever, enabling developers to build intelligent applications using their preferred language and environment. Experience industry-leading performance, rest assured with innovative security features, transform your business with AI built-in, and deliver insights wherever your users are with mobile BI.
The Teradata Database easily and efficiently handles complex data requirements and simplifies management of the data warehouse environment.
In addition to our open-source data science software, RStudio produces RStudio Team, a unique, modular platform of enterprise-ready professional software products that enable teams to adopt R, Python, and other open-source data science software at scale.