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DBMS > AgensGraph vs. Apache Druid vs. Citus vs. Greenplum vs. Hazelcast

System Properties Comparison AgensGraph vs. Apache Druid vs. Citus vs. Greenplum vs. Hazelcast

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonApache Druid  Xexclude from comparisonCitus  Xexclude from comparisonGreenplum  Xexclude from comparisonHazelcast  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLOpen-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 PostgreSQLAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.A widely adopted in-memory data grid
Primary database modelGraph DBMS
Relational DBMS
Relational DBMS
Time Series DBMS
Relational DBMSRelational DBMSKey-value store
Secondary database modelsDocument storeDocument store
Spatial DBMS
Document store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Websitebitnine.net/­agensgraphdruid.apache.orgwww.citusdata.comgreenplum.orghazelcast.com
Technical documentationbitnine.net/­documentationdruid.apache.org/­docs/­latest/­designdocs.citusdata.comdocs.greenplum.orghazelcast.org/­imdg/­docs
DeveloperBitnine Global Inc.Apache Software Foundation and contributorsPivotal Software Inc.Hazelcast
Initial release20162012201020052008
Current release2.1, December 201829.0.1, April 20248.1, December 20187.0.0, September 20235.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache license v2Open Source infoAGPL, commercial license also availableOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaCJava
Server operating systemsLinux
OS X
Windows
Linux
OS X
Unix
LinuxLinuxAll OS with a Java VM
Data schemedepending on used data modelyes infoschema-less columns are supportedyesyesschema-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.nonoyes infospecific XML type available, but no XML query functionalityyes infosince Version 4.2yes infothe object must implement a serialization strategy
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesSQL for queryingyes infostandard, with numerous extensionsyesSQL-like query language
APIs and other access methodsCypher Query Language
JDBC
JDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languagesC
Java
JavaScript
Python
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
Java
Perl
Python
R
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyesnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesyes infoEvent Listeners, Executor Services
Triggersnonoyesyesyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding infomanual/auto, time-basedShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes, via HDFS, S3 or other storage enginesSource-replica replication infoother methods possible by using 3rd party extensionsSource-replica replicationyes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonononoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardRole-based access control

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More resources
AgensGraphApache DruidCitusGreenplumHazelcast
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