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Google Cloud Dataflow

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

Google Cloud Dataflow Alternatives

The best Google Cloud Dataflow alternatives based on verified products, votes, reviews and other factors.
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  1. 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.

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

  3. A fully managed data warehouse for large-scale data analytics.

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

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

  6. Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

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

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

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

  10. Snowflake is the only data platform built for the cloud for all your data & all your users. Learn more about our purpose-built SQL cloud data warehouse.

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

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

  13. Web analytics platform.

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This article was published on | Author: | Publisher: SaaSHub
Categories: Big Data, Big Data Tools, Stream Processing