Hadoop
Open-source software for reliable, scalable, distributed computing
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Hadoop Alternatives [Page 5]
The best Hadoop alternatives based on verified products, community votes, reviews and other factors.
Latest update:
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/lucene-alternatives
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/qumulo-alternatives
Qumulo hybrid cloud file storage delivers real-time visibility, scale and control of data across on-prem and cloud. Scale-across with simplicity.
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The most intuitive platform to manage projects and teamwork
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/goka-alternatives
Goka is a distributed stream processing library for Apache Kafka written in Go.
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/mapr-alternatives
MapR is a leading high-performance data management or IT management solution that integrates Apache Drill, Hadoop and Spark with real-time global event streaming, scalable enterprise storage, and database capabilities in order to control large appli…
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/microsoft-power-bi-alternatives
BI visualization and reporting for desktop, web or mobile
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/cloudian-alternatives
Exabyte-scale storage for your capacity-intensive workloads. Files plus S3-compatible storage. On-prem, hybrid cloud, and multi-cloud. Learn why leading enterprises worldwide trust Cloudian.
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/snowflake-alternatives
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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/kafka-alternatives
Apache Kafka is publish-subscribe messaging rethought as a distributed commit log.
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/dynamodb-alternatives
Amazon DynamoDB is a fast and flexible NoSQL database service for all applications that need consistent, single-digit millisecond latency at any scale. It is a fully managed cloud database and supports both document and key-value store models.
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/amazon-redshift-alternatives
Learn about Amazon Redshift cloud data warehouse.
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/couchdb-alternatives
HTTP + JSON document database with Map Reduce views and peer-based replication
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/azure-stream-analytics-alternatives
Azure Stream Analytics offers real-time stream processing in the cloud.
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/microsoft-azure-alternatives
Windows Azure and SQL Azure enable you to build, host and scale applications in Microsoft datacenters.