Big Data Tools
The best Big Data Tools based on votes, our collection of reviews, verified products and a total of 76 factors
Top Big Data Tools
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/marketing-360-alternatives
Marketing 360® is a powerful marketing and website platform built for any size brand. It's fully managed and has everything a brand needs to drive beautiful marketing and sales.
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/thefork-alternatives
TheFork is an application that enables you to book a suitable restaurant in your locality.
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/talend-data-integration-alternatives
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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/azure-data-factory-alternatives
Learn more about Azure Data Factory, the easiest cloud-based hybrid data integration solution at an enterprise scale. Build data factories without the need to code.
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/skyvia-alternatives
Free cloud data platform for data integration, backup & management
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/databricks-alternatives
Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
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/looker-alternatives
Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
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/sisense-alternatives
The BI & Dashboard Software to handle multiple, large data sets.
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/google-bigquery-alternatives
A fully managed data warehouse for large-scale data analytics.
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/databricks-unified-analytics-platform-alternatives
One platform for accelerating data-driven innovation across data engineering, data science & business analytics
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/apache-druid-alternatives
Fast column-oriented distributed data store
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/apache-asterixdb-alternatives
Apache AsterixDB is a scalable, open source Big Data Management System.
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/net-for-apache-spark-alternatives
.NET for Apache Spark™ provides C# and F# language bindings for the Apache Spark distributed data analytics engine. Supported on Linux, macOS, and Windows.