AresDB
AresDB

10
28
+ 1
0
Druid
Druid

208
392
+ 1
20
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AresDB vs Druid: What are the differences?

What is AresDB? A GPU-powered real-time analytics storage and query engine (by Uber). AresDB is a GPU-powered real-time analytics storage and query engine. It features low query latency, high data freshness and highly efficient in-memory and on disk storage management.

What is Druid? Fast column-oriented distributed data store. 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.

AresDB and Druid belong to "Big Data Tools" category of the tech stack.

AresDB and Druid are both open source tools. It seems that Druid with 8.32K GitHub stars and 2.08K forks on GitHub has more adoption than AresDB with 1.98K GitHub stars and 126 GitHub forks.

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    Cons of AresDB
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      What is AresDB?

      AresDB is a GPU-powered real-time analytics storage and query engine. It features low query latency, high data freshness and highly efficient in-memory and on disk storage management.

      What is 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.
      What companies use AresDB?
      What companies use Druid?

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      What tools integrate with AresDB?
      What tools integrate with Druid?
        No integrations found
        What are some alternatives to AresDB and Druid?
        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.
        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.
        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.
        See all alternatives
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