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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.

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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. Snowflake Computing is delivering a data warehouse for the cloud.

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

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

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

  9. Web analytics platform.

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

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

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

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