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DBMS > AnzoGraph DB vs. Ingres vs. Oracle Berkeley DB vs. RDF4J vs. RocksDB

System Properties Comparison AnzoGraph DB vs. Ingres vs. Oracle Berkeley DB vs. RDF4J vs. RocksDB

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonIngres  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationWell established RDBMSWidely used in-process key-value storeRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Embeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelGraph DBMS
RDF store
Relational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
RDF storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score3.41
Rank#86  Overall
#11  Key-value stores
Websitecambridgesemantics.com/­anzographwww.actian.com/­databases/­ingreswww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlrdf4j.orgrocksdb.org
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.actian.com/­ingresdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlrdf4j.org/­documentationgithub.com/­facebook/­rocksdb/­wiki
DeveloperCambridge SemanticsActian CorporationOracle infooriginally developed by Sleepycat, which was acquired by OracleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Facebook, Inc.
Initial release20181974 infooriginally developed at University Berkely in early 1970s199420042013
Current release2.3, January 202111.2, May 202218.1.40, May 20209.2.1, May 2024
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialOpen Source infocommercial license availableOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC, Java, C++ (depending on the Berkeley DB edition)JavaC++
Server operating systemsLinuxAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
OS X
Unix
Windows
Linux
Data schemeSchema-free and OWL/RDFS-schema supportyesschema-freeyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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.nono infobut tools for importing/exporting data from/to XML-files availableyes infoonly with the Berkeley DB XML editionno
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yesyes infoSQL interfaced based on SQLite is availablenono
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
C++ API
Java API
Supported programming languagesC++
Java
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Java
PHP
Python
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesnoyesno
Triggersnoyesyes infoonly for the SQL APIyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslynonenonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterIngres ReplicatorSource-replica replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infoIsolation support depends on the API usedyes
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardnonono

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More resources
AnzoGraph DBIngresOracle Berkeley DBRDF4J infoformerly known as SesameRocksDB
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