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BDS
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CDAP

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CDAP vs BDS: 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 BDS? *Blockchain data parsing and persisting results *. It is a realtime data aggregating, analyzing and visualization service for chain-like unstructured data from all kinds of 3rd party Blockchains.

CDAP belongs to "Big Data Tools" category of the tech stack, while BDS can be primarily classified under "Blockchain".

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, BDS provides the following key features:

  • Cover dozens of well-known Blockchain projects, including BTC, ETH, LTC, XRP, BCH, etc
  • Provide an interactive data visualization BI tool
  • Support standard SQL Query statements so that complex query logics can be implemented easily

CDAP and BDS are both open source tools. CDAP with 359 GitHub stars and 184 forks on GitHub appears to be more popular than BDS with 324 GitHub stars and 42 GitHub forks.

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What is BDS?

It is a realtime data aggregating, analyzing and visualization service for chain-like unstructured data from all kinds of 3rd party Blockchains.

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 are some alternatives to BDS 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.
            Amazon Athena
            Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.
            Apache Flink
            Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.
            Ethereum
            A decentralized platform for applications that run exactly as programmed without any chance of fraud, censorship or third-party interference.
            Apache Hive
            Hive facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage.
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