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DBMS > AnzoGraph DB vs. Greenplum vs. JaguarDB vs. LevelDB vs. Postgres-XL

System Properties Comparison AnzoGraph DB vs. Greenplum vs. JaguarDB vs. LevelDB vs. Postgres-XL

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonGreenplum  Xexclude from comparisonJaguarDB  Xexclude from comparisonLevelDB  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationAnalytic 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.Performant, highly scalable DBMS for AI and IoT applicationsEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelGraph DBMS
RDF store
Relational DBMSKey-value store
Vector DBMS
Key-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score0.06
Rank#381  Overall
#59  Key-value stores
#14  Vector DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score0.53
Rank#254  Overall
#117  Relational DBMS
Websitecambridgesemantics.com/­anzographgreenplum.orgwww.jaguardb.comgithub.com/­google/­leveldbwww.postgres-xl.org
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.greenplum.orgwww.jaguardb.com/­support.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.postgres-xl.org/­documentation
DeveloperCambridge SemanticsPivotal Software Inc.DataJaguar, Inc.Google
Initial release20182005201520112014 infosince 2012, originally named StormDB
Current release2.3, January 20217.0.0, September 20233.3 July 20231.23, February 202110 R1, October 2018
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache 2.0Open Source infoGPL V3.0Open Source infoBSDOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ infothe server part. Clients available in other languagesC++C
Server operating systemsLinuxLinuxLinuxIllumos
Linux
OS X
Windows
Linux
macOS
Data schemeSchema-free and OWL/RDFS-schema supportyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 infosince Version 4.2nonoyes infoXML type, but no XML query functionality
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnoyes infodistributed, parallel query execution
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
ODBC
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC++
Java
Python
C
Java
Perl
Python
R
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesnonouser defined functions
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterSource-replica replicationMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardrights management via user accountsnofine grained access rights according to SQL-standard

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More resources
AnzoGraph DBGreenplumJaguarDBLevelDBPostgres-XL
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