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Druid

291
609
+ 1
27
MemSQL

64
136
+ 1
18
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Druid vs MemSQL: What are the differences?

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.

What is MemSQL? Database for real-time transactions and analytics. MemSQL converges transactions and analytics for sub-second data processing and reporting. Real-time businesses can build robust applications on a simple and scalable infrastructure that complements and extends existing data pipelines.

Druid can be classified as a tool in the "Big Data Tools" category, while MemSQL is grouped under "In-Memory Databases".

Druid is an open source tool with 8.32K GitHub stars and 2.08K GitHub forks. Here's a link to Druid's open source repository on GitHub.

According to the StackShare community, Druid has a broader approval, being mentioned in 24 company stacks & 12 developers stacks; compared to MemSQL, which is listed in 10 company stacks and 4 developer stacks.

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Pros of Druid
Pros of MemSQL
  • 13
    Real Time Aggregations
  • 4
    OLAP
  • 4
    Batch and Real-Time Ingestion
  • 3
    OLAP + OLTP
  • 2
    Combining stream and historical analytics
  • 1
    OLTP
  • 5
    Distributed
  • 3
    Realtime
  • 2
    Sql
  • 2
    JSON
  • 2
    Concurrent
  • 2
    Columnstore
  • 1
    Scalable
  • 1
    Ultra fast

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Cons of Druid
Cons of MemSQL
  • 2
    Limited sql support
  • 1
    Complexity
  • 1
    Joins are not supported well
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    - No public GitHub repository available -

    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 is MemSQL?

    MemSQL converges transactions and analytics for sub-second data processing and reporting. Real-time businesses can build robust applications on a simple and scalable infrastructure that complements and extends existing data pipelines.

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    What companies use Druid?
    What companies use MemSQL?
    See which teams inside your own company are using Druid or MemSQL.
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    What tools integrate with Druid?
    What tools integrate with MemSQL?

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    What are some alternatives to Druid and MemSQL?
    HBase
    Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop.
    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.
    Cassandra
    Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
    Prometheus
    Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.
    Elasticsearch
    Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
    See all alternatives