Description
Apache Spark employs the data processing framework, big data processing, and machine learning frequently. It enables data analysts to quickly process very large datasets. Using Apache Spark, it is quite simple to examine massive data and carry out computationally intensive analytics on them. One of the most active Apache projects currently is Spark. It has a fantastic open source community and a programming interface that supports implicit data parallelism and fault tolerance.
Details
- Price Request for pricing
- Company Name Apache Spark
- Listing categories Data Management Software / Data Visualization Tools / Data Analysis Tools
- Is Your Software Cloud Based? Yes-Cloud
- Customization Yes - Available
- Open Source Yes
Features
Software Key Features:
Key Features
- Running an application in a Hadoop cluster is beneficial since it can run up to 100 times quicker in memory and ten times faster on disc.
- It is one of the open source big data analytics tools that offer built-in APIs in Java, Scala, or Python. And supports sophisticated analytics, integrates with Hadoop, and can use existing Hadoop data.Â
- It is one of the open source data analytics tools that delivers lightning-fast processing.
Specification
Mobile Support
Desktop OS Support
Web App, Windows, Macintosh
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