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AtScale

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CDAP vs AtScale: What are the differences?

What is CDAP? Open source virtualization platform for Hadoop data and apps. Cask Data Application Platform (CDAP) is an open source application development platform for the Hadoop ecosystem that provides developers with data and application virtualization to accelerate application development, address a broader range of real-time and batch use cases, and deploy applications into production while satisfying enterprise requirements.

What is AtScale? The virtual data warehouse for the modern enterprise. Its Virtual Data Warehouse delivers performance, security and agility to exceed the demands of modern-day operational analytics.

CDAP and AtScale belong to "Big Data Tools" category of the tech stack.

Some of the features offered by CDAP are:

Streams for data ingestion
Reusable libraries for common Big Data access patterns
Data available to multiple applications and different paradigms

On the other hand, AtScale provides the following key features:

Multiple SQL-on-Hadoop Engine Support
Access Data Where it Lays
Built-in Support for Complex Data Types

CDAP is an open source tool with 357 GitHub stars and 184 GitHub forks. Here's a link to CDAP's open source repository on GitHub.

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What is AtScale?

Its Virtual Data Warehouse delivers performance, security and agility to exceed the demands of modern-day operational analytics.

What is CDAP?

Cask Data Application Platform (CDAP) is an open source application development platform for the Hadoop ecosystem that provides developers with data and application virtualization to accelerate application development, address a broader range of real-time and batch use cases, and deploy applications into production while satisfying enterprise requirements.

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What companies use AtScale?

What companies use CDAP?

BlueData

Cask
Ampool

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What tools integrate with AtScale?

What tools integrate with CDAP?

Hadoop

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What are some alternatives to AtScale and CDAP?

Denodo

It is the leader in data virtualization providing data access, data governance and data delivery capabilities across the broadest range of enterprise, cloud, big data, and unstructured data sources without moving the data from their original repositories.

Apache Impala

Impala is a modern, open source, MPP SQL query engine for Apache Hadoop. Impala is shipped by Cloudera, MapR, and Amazon. With Impala, you can query data, whether stored in HDFS or Apache HBase – including SELECT, JOIN, and aggregate functions – in real time.

Druid

Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations.

Snowflake

Snowflake eliminates the administration and management demands of traditional data warehouses and big data platforms. Snowflake is a true data warehouse as a service running on Amazon Web Services (AWS)—no infrastructure to manage and no knobs to turn.

Looker

We've built a unique data modeling language, connections to today's fastest analytical databases, and a service that you can deploy on any infrastructure, and explore on any device. Plus, we'll help you every step of the way.

See all alternatives

AtScale vs CDAP

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What is AtScale?

What is CDAP?

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What companies use AtScale?

What companies use CDAP?

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What tools integrate with AtScale?

What tools integrate with CDAP?

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