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BlazingSQL vs CDAP

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BlazingSQL
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CDAP
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CDAP vs BlazingSQL: What are the differences?

Developers describe CDAP as "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. On the other hand, BlazingSQL is detailed as "A lightweight, GPU accelerated, SQL engine built on RAPIDS". It's a GPU accelerated SQL engine built on top of the RAPIDS ecosystem. RAPIDS is based on the Apache Arrow columnar memory format, and cuDF is a GPU DataFrame library for loading, joining, aggregating, filtering, and otherwise manipulating data.

CDAP and BlazingSQL can be primarily classified as "Big Data" tools.

CDAP is an open source tool with 356 GitHub stars and 184 GitHub forks. Here's a link to CDAP's open source repository on GitHub.

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What is BlazingSQL?

It's a GPU accelerated SQL engine built on top of the RAPIDS ecosystem. RAPIDS is based on the Apache Arrow columnar memory format, and cuDF is a GPU DataFrame library for loading, joining, aggregating, filtering, and otherwise manipulating data.

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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Jobs that mention BlazingSQL and CDAP as a desired skillset
Senior Software Engineer, Big Data
Pinterest
San Francisco, CA, US; , CA, US
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DreamTrinoAirflow+11
Senior Software Engineer, Big Data
Pinterest
San Francisco, CA, US; , CA, US
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DreamTrinoAirflow+11
Senior Software Engineer, Big Data
Pinterest
San Francisco, CA, US; , CA, US
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DreamTrinoAirflow+11
Senior Software Engineer, Big Data
Pinterest
San Francisco, CA, US; , CA, US
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DreamTrinoAirflow+11
Staff Software Engineer, Ads Serving Platform
Pinterest
San Francisco, CA, US; , US
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guidanceInfraDream+9
Manager II, Engineering - Big Data Query Platform
Pinterest
San Francisco, CA, US; , US
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DreamTrinoYarn+7
Manager II, Engineering - Big Data Query Platform
Pinterest
San Francisco, CA, US; , US
View Job Details
DreamTrinoYarn+7
Manager II, Engineering - Big Data Query Platform
Pinterest
San Francisco, CA, US; , US
View Job Details
DreamTrinoYarn+7
What companies use BlazingSQL?
What companies use CDAP?
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    What tools integrate with BlazingSQL?
    What tools integrate with CDAP?
    What are some alternatives to BlazingSQL and CDAP?
    Apache Spark
    Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
    MySQL
    The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
    PostgreSQL
    PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
    MongoDB
    MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
    Redis
    Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
    See all alternatives

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