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Druid
Druid

107
152
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17
HBase
HBase

197
162
+ 1
12
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Druid vs HBase: 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 HBase? The Hadoop database, a distributed, scalable, big data store. 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.

Druid belongs to "Big Data Tools" category of the tech stack, while HBase can be primarily classified under "Databases".

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

Druid and HBase are both open source tools. Druid with 8.31K GitHub stars and 2.08K forks on GitHub appears to be more popular than HBase with 2.91K GitHub stars and 2.01K GitHub forks.

Pinterest, HubSpot, and hike are some of the popular companies that use HBase, whereas Druid is used by Airbnb, Instacart, and Dial Once. HBase has a broader approval, being mentioned in 54 company stacks & 18 developers stacks; compared to Druid, which is listed in 24 company stacks and 12 developer stacks.

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 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.
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      What are some alternatives to Druid and HBase?
      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).
      Clickhouse
      It allows analysis of data that is updated in real time. It offers instant results in most cases: the data is processed faster than it takes to create a query.
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      Decisions about Druid and HBase
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      How developers use Druid and HBase
      Avatar of Pinterest
      Pinterest uses HBaseHBase

      The final output is inserted into HBase to serve the experiment dashboard. We also load the output data to Redshift for ad-hoc analysis. For real-time experiment data processing, we use Storm to tail Kafka and process data in real-time and insert metrics into MySQL, so we could identify group allocation problems and send out real-time alerts and metrics.

      Avatar of Axibase
      Axibase uses HBaseHBase
      • Raw storage engine
      • Replication
      • Fault-tolerance
      Avatar of Mehdi TAZI
      Mehdi TAZI uses HBaseHBase

      Range scan and HDFS Buffering system

      Avatar of anerudhbalaji
      anerudhbalaji uses HBaseHBase

      Primary datastore

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