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DBMS > AnzoGraph DB vs. Citus vs. CrateDB vs. Oracle Rdb vs. RocksDB

System Properties Comparison AnzoGraph DB vs. Citus vs. CrateDB vs. Oracle Rdb vs. RocksDB

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonCitus  Xexclude from comparisonCrateDB  Xexclude from comparisonOracle Rdb  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 virtualizationScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLDistributed Database based on LuceneEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelGraph DBMS
RDF store
Relational DBMSDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMSKey-value store
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#302  Overall
#24  Graph DBMS
#13  RDF stores
Score2.13
Rank#117  Overall
#56  Relational DBMS
Score0.69
Rank#226  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#11  Vector DBMS
Score1.04
Rank#184  Overall
#84  Relational DBMS
Score2.84
Rank#97  Overall
#16  Key-value stores
Websitecambridgesemantics.com/­anzographwww.citusdata.comcratedb.comwww.oracle.com/­database/­technologies/­related/­rdb.htmlrocksdb.org
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.citusdata.comcratedb.com/­docswww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlgithub.com/­facebook/­rocksdb/­wiki
DeveloperCambridge SemanticsCrateOracle, originally developed by Digital Equipment Corporation (DEC)Facebook, Inc.
Initial release20182010201319842013
Current release2.3, January 20218.1, December 20185.8.1, August 20247.4.1.1, 20219.4.0, June 2024
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoAGPL, commercial license also availableOpen SourcecommercialOpen Source infoBSD
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 languageCJavaC++
Server operating systemsLinuxLinuxAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportHP Open VMSLinux
Data schemeSchema-free and OWL/RDFS-schema supportyesFlexible Schema (defined schema, partial schema, schema free)Flexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 functionalitynonono
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yes infostandard, with numerous extensionsyes, but no triggers and constraints, and PostgreSQL compatibilityyesno
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
C++ API
Java API
Supported programming languagesC++
Java
Python
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functions (Javascript)no
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterSource-replica replication infoother methods possible by using 3rd party extensionsConfigurable replication on table/partition-levelyes
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 ConsistencyEventual Consistency
Read-after-write consistency on record level
Immediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno infounique row identifiers can be used for implementing an optimistic concurrency control strategyyes, on a single nodeyes
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.yesnononoyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardrights management via user accountsno

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More resources
AnzoGraph DBCitusCrateDBOracle RdbRocksDB
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