Best Big Data in 2024
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A fully managed data warehouse for large-scale data analytics.
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Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
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Embedded Analytics built exclusively for SaaS applications.
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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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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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Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
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Learn about Amazon Redshift cloud data warehouse.
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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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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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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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Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.
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Apache Beam provides an advanced unified programming model to implement batch and streaming data processing jobs.