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DBMS > AnzoGraph DB vs. BigchainDB vs. Ehcache vs. TimesTen vs. Trafodion

System Properties Comparison AnzoGraph DB vs. BigchainDB vs. Ehcache vs. TimesTen vs. Trafodion

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonBigchainDB  Xexclude from comparisonEhcache  Xexclude from comparisonTimesTen  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
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 assetsA widely adopted Java cache with tiered storage optionsIn-Memory RDBMS compatible to OracleTransactional SQL-on-Hadoop DBMS
Primary database modelGraph DBMS
RDF store
Document storeKey-value storeRelational DBMSRelational 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
Score0.85
Rank#208  Overall
#35  Document stores
Score4.64
Rank#68  Overall
#8  Key-value stores
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websitecambridgesemantics.com/­anzographwww.bigchaindb.comwww.ehcache.orgwww.oracle.com/­database/­technologies/­related/­timesten.htmltrafodion.apache.org
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmbigchaindb.readthedocs.io/­en/­latestwww.ehcache.org/­documentationdocs.oracle.com/­database/­timesten-18.1trafodion.apache.org/­documentation.html
DeveloperCambridge SemanticsTerracotta Inc, owned by Software AGOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Apache Software Foundation, originally developed by HP
Initial release20182016200919982014
Current release2.3, January 20213.10.0, March 202211 Release 2 (11.2.2.8.0)2.3.0, February 2019
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoAGPL v3Open Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoApache 2.0
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++, Java
Server operating systemsLinuxLinuxAll OS with a Java VMAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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.nonoyesyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
CLI Client
RESTful HTTP API
JCacheJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
ADO.NET
JDBC
ODBC
Supported programming languagesC++
Java
Python
Go
Haskell
Java
JavaScript
Python
Ruby
JavaC
C++
Java
PL/SQL
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoPL/SQLJava Stored Procedures
Triggersnoyes infoCache Event Listenersnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingSharding infoby using Terracotta ServernoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusterselectable replication factoryes infoby using Terracotta ServerMulti-source replication
Source-replica replication
yes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterTunable Consistency (Strong, Eventual, Weak)Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourceACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByes infousing a tiered cache-storage approachyes infoby means of logfiles and checkpointsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlAccess rights for users and rolesyesnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
AnzoGraph DBBigchainDBEhcacheTimesTenTrafodion
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