Google Cloud Dataflow

Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

20 Alternatives To Google Cloud Dataflow


Amazon EMR

Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

Apache Beam

Apache Beam provides an advanced unified programming model to implement batch and streaming data processing jobs.

Apache Spark

Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

Apache Spark for Azure HDInsight

This article provides an introduction to Spark in HDInsight and the different scenarios in which you can use Spark cluster in HDInsight.

Azure Data Lake Store

Azure Data Lake Storage Gen2 is highly scalable and secure storage for big data analytics. Maximize costs and efficiency through full integrations with other Azure products.

Azure HDInsight

Azure HDInsight is a managed Apache Hadoop cloud service that lets you run Apache Spark, Apache Hive, Apache Kafka, Apache HBase, and more.

Azure Stream Analytics

Azure Stream Analytics offers real-time stream processing in the cloud.


Confluent offers a real-time data platform built around Apache Kafka.


Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost

Hadoop HDFS

The Apache HDFS is a distributed file system that makes it possible to scale a single Apache Hadoop cluster to hundreds (and even thousands) of nodes.

HortonWorks Data Platform

The Hortonworks Data Platform is a 100% open source distribution of Apache Hadoop that is truly…

Leo Platform

Leo enables teams to innovate faster by providing visibility and control for data streams.


Seamless two-way sync between your CRM, marketing apps and Google in no time


Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

Spark Streaming

Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.


Striim provides an end-to-end, real-time data integration and streaming analytics platform.


alooma brings together a reliable data pipeline, an easy data transformation interface, and a powerful stream processor.