Best Data Modeling Tools for definity

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Compare the Top Data Modeling Tools that integrate with definity as of November 2024

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This a list of Data Modeling tools that integrate with definity. Use the filters on the left to add additional filters for products that have integrations with definity. View the products that work with definity in the table below.

What are Data Modeling Tools for definity?

Data modeling tools enable users to build a data model for an information system or database. Data modeling and database modeling software streamlines data modeling processes by offering users the ability to create a visual representation and data structure. Compare and read user reviews of the best Data Modeling tools for definity currently available using the table below. This list is updated regularly.

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    Apache Spark

    Apache Spark

    Apache Software Foundation

    Apache Spark™ is a unified analytics engine for large-scale data processing. Apache Spark achieves high performance for both batch and streaming data, using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine. Spark offers over 80 high-level operators that make it easy to build parallel apps. And you can use it interactively from the Scala, Python, R, and SQL shells. Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming. You can combine these libraries seamlessly in the same application. Spark runs on Hadoop, Apache Mesos, Kubernetes, standalone, or in the cloud. It can access diverse data sources. You can run Spark using its standalone cluster mode, on EC2, on Hadoop YARN, on Mesos, or on Kubernetes. Access data in HDFS, Alluxio, Apache Cassandra, Apache HBase, Apache Hive, and hundreds of other data sources.
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