Apache Hadoop
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TL;DR
Apache Hadoop is an open-source big data framework for distributed storage and processing across clusters.
Key Facts
Free version: Apache Hadoop is open source; commercial support is available from vendors.
Pricing
Starting at Open source
Apache Hadoop
- Distributed data storage
- MapReduce processing engine
- Ecosystem tools and integrations
- Scalable big data architecture
Additional Pricing Information
Hadoop core is free; support and managed distributions may incur vendor fees.
Details
What is Apache Hadoop?
Apache Hadoop is an open-source big data framework for distributed storage and processing. Reviewers score it 7.6 out of 10 across 271 TrustRadius reviews, noting ecosystem breadth and scalability while citing operational complexity. It is most relevant for data teams evaluating big data foundations.
Key Features
- *Storage** — HDFS and distributed filesystem
- *Processing** — MapReduce and batch analytics
- *Ecosystem** — Hive, HBase, and tooling
- *Scalability** — Commodity hardware scaling
- *Security** — Auth, encryption, and governance
- *Deployment** — On-premise and cloud options
Who is it for?
- Data engineers evaluating big data platforms
- Enterprises modernizing Hadoop estates
- Buyers comparing Hadoop, Spark, and cloud warehouses
- Teams building distributed data pipelines
Who is it NOT for?
- Teams without data engineering staffing
- Buyers avoiding operational big data complexity
- Users needing fully serverless or SaaS analytics
- Small teams without big data workloads
The Bottom Line
Apache Hadoop is a foundational big data framework, but the 7.6 score reflects operational complexity. Compare Spark and cloud data warehouses when modern analytics strategy matters.
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