Big Data Tools
The best Big Data Tools based on votes, our collection of reviews, verified products and a total of 70 factors.
Best Big Data Tools in 2025
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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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Talend offers open source middleware solutions that address big data integration, data management and application integration needs for businesses of all sizes.
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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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MuleSoft provides an integration platform for connecting any application, data source or API, whether in the cloud or on-premises.
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Fully managed extract, transform, and load (ETL) service
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Splunk's operational intelligence platform helps unearth intelligent insights from machine data.
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Oracle Big Data offers solutions to help organize and analyze diverse data sources alongside existing data.
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Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.
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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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Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
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The Autonomous Data Engine
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Apache Camel is a versatile open-source integration framework based on known enterprise integration patterns.
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AWS Database Migration Service allows you to migrate to AWS quickly and securely. Learn more about the benefits and the key use cases.