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Druid

348
781
+ 1
30
Apache Impala

128
274
+ 1
18
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Druid vs Impala: What are the differences?

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; Impala: Real-time Query for Hadoop. Impala is a modern, open source, MPP SQL query engine for Apache Hadoop. Impala is shipped by Cloudera, MapR, and Amazon. With Impala, you can query data, whether stored in HDFS or Apache HBase – including SELECT, JOIN, and aggregate functions – in real time.

Druid and Impala can be primarily classified as "Big Data" tools.

"Real Time Aggregations" is the primary reason why developers consider Druid over the competitors, whereas "Super fast" was stated as the key factor in picking Impala.

Druid and Impala are both open source tools. Druid with 8.22K GitHub stars and 2.05K forks on GitHub appears to be more popular than Impala with 2.17K GitHub stars and 825 GitHub forks.

Instacart, Airbnb, and Dial Once are some of the popular companies that use Druid, whereas Impala is used by Stripe, 37 Signals, and Expedia.com. Druid has a broader approval, being mentioned in 24 company stacks & 12 developers stacks; compared to Impala, which is listed in 15 company stacks and 5 developer stacks.

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Pros of Druid
Pros of Apache Impala
  • 14
    Real Time Aggregations
  • 6
    Batch and Real-Time Ingestion
  • 4
    OLAP
  • 3
    OLAP + OLTP
  • 2
    Combining stream and historical analytics
  • 1
    OLTP
  • 11
    Super fast
  • 1
    Replication
  • 1
    Massively Parallel Processing
  • 1
    Scalability
  • 1
    Distributed
  • 1
    High Performance
  • 1
    Load Balancing
  • 1
    Open Sourse

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Cons of Druid
Cons of Apache Impala
  • 3
    Limited sql support
  • 2
    Joins are not supported well
  • 1
    Complexity
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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 Apache Impala?

    Impala is a modern, open source, MPP SQL query engine for Apache Hadoop. Impala is shipped by Cloudera, MapR, and Amazon. With Impala, you can query data, whether stored in HDFS or Apache HBase – including SELECT, JOIN, and aggregate functions – in real time.

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    Jobs that mention Druid and Apache Impala as a desired skillset
    CBRE
    United States of America Texas Richardson
    CBRE
    Philippines National Capital Region Makati City
    CBRE
    United Kingdom of Great Britain and Northern Ireland England Feltham
    CBRE
    United States of America Florida Tampa
    CBRE
    United States of America Texas Richardson
    What companies use Druid?
    What companies use Apache Impala?
    See which teams inside your own company are using Druid or Apache Impala.
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    What tools integrate with Druid?
    What tools integrate with Apache Impala?

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    Blog Posts

    Dec 22 2021 at 5:41AM

    Pinterest

    MySQLKafkaDruid+3
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    MySQLKafkaApache Spark+6
    2
    1788
    What are some alternatives to Druid and Apache Impala?
    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