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DBMS > AnzoGraph DB vs. BigchainDB vs. HBase vs. Percona Server for MongoDB vs. TimesTen

System Properties Comparison AnzoGraph DB vs. BigchainDB vs. HBase vs. Percona Server for MongoDB vs. TimesTen

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonBigchainDB  Xexclude from comparisonHBase  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsWide-column store based on Apache Hadoop and on concepts of BigTableA drop-in replacement for MongoDB Community Edition with enterprise-grade features.In-Memory RDBMS compatible to Oracle
Primary database modelGraph DBMS
RDF store
Document storeWide column storeDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score0.79
Rank#212  Overall
#36  Document stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.52
Rank#254  Overall
#39  Document stores
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitecambridgesemantics.com/­anzographwww.bigchaindb.comhbase.apache.orgwww.percona.com/­mongodb/­software/­percona-server-for-mongodbwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmbigchaindb.readthedocs.io/­en/­latesthbase.apache.org/­book.htmldocs.percona.com/­percona-distribution-for-mongodbdocs.oracle.com/­database/­timesten-18.1
DeveloperCambridge SemanticsApache Software Foundation infoApache top-level project, originally developed by PowersetPerconaOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20182016200820151998
Current release2.3, January 20212.3.4, January 20213.4.10-2.10, November 201711 Release 2 (11.2.2.8.0)
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoAGPL v3Open Source infoApache version 2Open Source infoGPL Version 2commercial
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 languagePythonJavaC++
Server operating systemsLinuxLinuxLinux
Unix
Windows infousing Cygwin
LinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeschema-free, schema definition possibleschema-freeyes
Typing infopredefined data types such as float or datenooptions to bring your own types, AVROyesyes
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.nonononono
Secondary indexesnonoyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.nononoyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
CLI Client
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
proprietary protocol using JSONJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC++
Java
Python
Go
Haskell
Java
JavaScript
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infoCoprocessors in JavaJavaScriptPL/SQL
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusterselectable replication factorMulti-source replication
Source-replica replication
Source-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityno infonot needed in graphsnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)noACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infovia In-Memory Engineyes
User concepts infoAccess controlAccess rights for users and rolesyesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
AnzoGraph DBBigchainDBHBasePercona Server for MongoDBTimesTen
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