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DBMS > Apache Druid vs. Citus vs. GigaSpaces vs. JaguarDB vs. TinkerGraph

System Properties Comparison Apache Druid vs. Citus vs. GigaSpaces vs. JaguarDB vs. TinkerGraph

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonCitus  Xexclude from comparisonGigaSpaces  Xexclude from comparisonJaguarDB  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsPerformant, highly scalable DBMS for AI and IoT applicationsA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Key-value store
Vector DBMS
Graph DBMS
Secondary database modelsDocument storeGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websitedruid.apache.orgwww.citusdata.comwww.gigaspaces.comwww.jaguardb.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.citusdata.comdocs.gigaspaces.com/­latest/­landing.htmlwww.jaguardb.com/­support.html
DeveloperApache Software Foundation and contributorsGigaspaces TechnologiesDataJaguar, Inc.
Initial release20122010200020152009
Current release29.0.1, April 20248.1, December 201815.5, September 20203.3 July 2023
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoAGPL, commercial license also availableOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoGPL V3.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCJava, C++, .NetC++ infothe server part. Clients available in other languagesJava
Server operating systemsLinux
OS X
Unix
LinuxLinux
macOS
Solaris
Windows
Linux
Data schemeyes infoschema-less columns are supportedyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyes infospecific XML type available, but no XML query functionalityno infoXML can be used for describing objects metadatanono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLSQL for queryingyes infostandard, with numerous extensionsSQL-99 for query and DML statementsA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
TinkerPop 3
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C++
Java
Python
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Groovy
Java
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesnono
Triggersnoyesyes, event driven architecturenono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistencynone
Foreign keys infoReferential integritynoyesnonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesnoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardRole-based access controlrights management via user accountsno

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More resources
Apache DruidCitusGigaSpacesJaguarDBTinkerGraph
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