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, community votes, reviews and other factors.
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Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
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A fully managed data warehouse for large-scale data analytics.
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Assembly is an employee recognition software powered by AI that boosts engagement and productivity. Empower teams with peer-to-peer recognition, rewards, and performance tracking. Simplify HR processes and foster a positive workplace culture.
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Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
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Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.
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Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
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Confluent offers a real-time data platform built around Apache Kafka.
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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.
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Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
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Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.
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Apache Beam provides an advanced unified programming model to implement batch and streaming data processing jobs.
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Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
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Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
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Azure HDInsight is a managed Apache Hadoop cloud service that lets you run Apache Spark, Apache Hive, Apache Kafka, Apache HBase, and more.