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DBMS > Druid vs. Elasticsearch vs. RocksDB

System Properties Comparison Druid vs. Elasticsearch vs. RocksDB

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Editorial information provided by DB-Engines
NameDruid  Xexclude from comparisonElasticsearch  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for OLAP queries on timeseries 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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.84
Rank#113  Overall
#57  Relational DBMS
#7  Time Series DBMS
Score150.17
Rank#7  Overall
#1  Search engines
Score2.36
Rank#97  Overall
#17  Key-value stores
Websitedruid.iowww.elastic.co/­products/­elasticsearchrocksdb.org
Technical documentationdruid.io/­docs/­latest/­design/­index.htmlwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlgithub.com/­facebook/­rocksdb/­wiki
DeveloperMetamarkets Group and contributorsElasticFacebook, Inc.
Initial release201220102013
Current release7.3.0, August 20196.2.2, August 2019
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2; Elastic LicenseOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Elasticsearch Service on Elastic Cloud: Try out the official hosted Elasticsearch and Kibana offering available on AWS and GCP that's powered by the creators of Elasticsearch.
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 support via Apache Calcite adapterSQL-like query languageno
APIs and other access methodsJSON over HTTPJava API
RESTful HTTP/JSON API
C++ API
Java API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Community Contributed Clients
C++
Java
Server-side scripts infoStored proceduresnoyesno
Triggersnoyes infoby using the 'percolation' featureno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
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 controlno infoavailable via extensionsno
More information provided by the system vendor
DruidElasticsearchRocksDB
Specific characteristicsElasticsearch is a highly scalable open source full-text search and analytics engine....
» more
Competitive advantagesOpen source, real-time index, search and analysis, horizontally scalable, distributed,...
» more
Typical application scenarios
» more
Key customers
» more
Market metricsMore than 250 million cumulative downloads More than 100,000 community members in...
» more
Licensing and pricing modelsThe Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash) is free and open source...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesElastic Cloud: Try the official hosted Elasticsearch.
» more

Dremio: Analyze your data with standard SQL and any BI tool. Accelerate your queries up to 1,000x.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
DruidElasticsearchRocksDB
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2 March 2016, Paul Andlinger

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Recent citations in the news

Imply launches with $2M to commercialize the Druid open-source data store
19 October 2015, VentureBeat

What's Behind Lyft's Choices in Big Data Tech
10 May 2019, Datanami

Hadoop Creator Yahoo Finds It's Not Enough, Turns to Druid
30 July 2015, ADT Magazine

Yahoo Casts Real-Time OLAP Queries with Druid
4 August 2015, Datanami

Azure HDInsight Brings Next Generation Hadoop 3.0 and Enterprise Security to the Cloud
24 September 2018, HPCwire

provided by Google News

AWS faces Elasticsearch lawsuit for trademark infringement
1 October 2019, TechTarget

Review: Elasticsearch 7 soars with SQL, search optimizations
2 October 2019, InfoWorld

Amazon Sued for Allegedly Infringing Elasticsearch Trademarks
30 September 2019, Bloomberg Law

The Warehouse Chooses Elastic’s Elasticsearch Service to Boost Consumer Loyalty
18 September 2019, Yahoo Finance

Open Source Search Firm Accuses Amazon of Trademark Infringement | The Recorder
30 September 2019, Law.com

provided by Google News

Toshiba Memory America Highlights TRocksDB at SNIA's 2019 Storage Developer Conference
23 September 2019, Business Wire

Toshiba Memory America Optimizes RocksDB for SSDs
1 August 2019, Business Wire

Alluxio Bolsters Data Orchestration for Hybrid Cloud World
11 July 2019, Datanami

Running Mongorocks In Production
27 April 2016, DZone News

MariaDB Adding Support for Facebook MyRocks
8 December 2016, DZone News

provided by Google News

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