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DBMS > Apache Druid vs. Elasticsearch vs. RocksDB vs. Titan vs. Valentina Server

System Properties Comparison Apache Druid vs. Elasticsearch vs. RocksDB vs. Titan vs. Valentina Server

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonElasticsearch  Xexclude from comparisonRocksDB  Xexclude from comparisonTitan  Xexclude from comparisonValentina Server  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
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)Titan is a Graph DBMS optimized for distributed clusters.Object-relational database and reports server
Primary database modelRelational DBMS
Time Series DBMS
Search engineKey-value storeGraph DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.29
Rank#95  Overall
#49  Relational DBMS
#7  Time Series DBMS
Score134.78
Rank#7  Overall
#1  Search engines
Score4.00
Rank#84  Overall
#11  Key-value stores
Score0.18
Rank#329  Overall
#144  Relational DBMS
Websitedruid.apache.orgwww.elastic.co/­elasticsearchrocksdb.orggithub.com/­thinkaurelius/­titanwww.valentina-db.net
Technical documentationdruid.apache.org/­docs/­latest/­designwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlgithub.com/­facebook/­rocksdb/­wikigithub.com/­thinkaurelius/­titan/­wikivalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperApache Software Foundation and contributorsElasticFacebook, Inc.Aurelius, owned by DataStaxParadigma Software
Initial release20122010201320121999
Current release29.0.1, April 20248.6, January 20238.11.4, April 20245.7.5
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoElastic LicenseOpen Source infoBSDOpen Source infoApache license, version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++Java
Server operating systemsLinux
OS X
Unix
All OS with a Java VMLinuxLinux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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 indexednoyesyes
SQL infoSupport of SQLSQL for queryingSQL-like query languagenonoyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Java API
RESTful HTTP/JSON API
C++ API
Java API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
C++
Go
Java
Perl
Python
Ruby
Clojure
Java
Python
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnoyesnoyesyes
Triggersnoyes infoby using the 'percolation' featureyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardinghorizontal partitioningyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectornoyes infovia Faunus, a graph analytics engineno
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, allEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noMemcached and Redis integrationyesyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standard

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Apache DruidElasticsearchRocksDBTitanValentina Server
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