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BDS vs EventQL

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BDS
3
9
+ 1
0
EventQL
3
9
+ 1
3
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EventQL vs BDS: What are the differences?

What is EventQL? The database for large-scale event analytics. EventQL is a distributed, column-oriented database built for large-scale event collection and analytics. It runs super-fast SQL and MapReduce queries.

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.

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

EventQL and BDS are both open source tools. EventQL with 1.03K GitHub stars and 93 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 EventQL?

    EventQL is a distributed, column-oriented database built for large-scale event collection and analytics. It runs super-fast SQL and MapReduce queries.

    Need advice about which tool to choose?Ask the StackShare community!

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    What tools integrate with BDS?
    What tools integrate with EventQL?
      No integrations found

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      What are some alternatives to BDS and EventQL?
      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.
      Ethereum
      A decentralized platform for applications that run exactly as programmed without any chance of fraud, censorship or third-party interference.
      Splunk
      It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
      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.
      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.
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