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DBMS > Apache Druid vs. Elasticsearch vs. RocksDB

System Properties Comparison Apache Druid vs. Elasticsearch vs. RocksDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonElasticsearch  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMS
Time Series DBMS
Search engineKey-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.00
Rank#105  Overall
#54  Relational DBMS
#6  Time Series DBMS
Score157.69
Rank#8  Overall
#1  Search engines
Score3.91
Rank#89  Overall
#15  Key-value stores
Websitedruid.apache.orgwww.elastic.co/­elasticsearchrocksdb.org
Technical documentationdruid.apache.org/­docs/­latest/­designwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlgithub.com/­facebook/­rocksdb/­wiki
DeveloperApache Software Foundation and contributorsElasticFacebook, Inc.
Initial release201220102013
Current release0.22.1, December 20217.8.0, June 20207.1.1, April 2022
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoElastic LicenseOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemsLinux
OS X
Unix
All OS with a Java VM
Data schemeyes infoschema-less columns are supportedschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free
Typing infopredefined data types such as float or dateyesyesno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesyesyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLSQL for queryingSQL-like query languageno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Java API
RESTful HTTP/JSON API
C++ API
Java API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresnoyesno
Triggersnoyes infoby using the 'percolation' featureno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectorno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noMemcached and Redis integrationyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemno

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More resources
Apache DruidElasticsearchRocksDB
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Recent citations in the news

Imply to Showcase Apache Druid and Imply Polaris at Confluent-hosted Kafka Summit
19 April 2022, PR Web

Apache Druid Gets Multi-Stage Reporting Engine, Cloud Service from Imply
1 March 2022, Datanami

Streaming fast: Druid's event-based database practices for sub-second trillion row response – Blocks and Files
21 February 2022, Blocks and Files

Imply to Debut Accreditation Program for Apache Druid® Basics, Giving Developers the Foundation for Building Modern Analytics Applications
27 October 2021, Business Wire

Druid vs Dremio: Compare data warehousing tools
8 April 2022, TechRepublic

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6 May 2022, SC Media

Netflix Studio Search: Using Elasticsearch and Apache Flink to Index Federated GraphQL Data
19 April 2022, InfoQ.com

Misconfigured ElasticSearch Servers Exposed 579 GB of Users' Website Activity
12 May 2022, HackRead

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3 May 2022, Business Wire

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25 August 2021, Datanami

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