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DBMS > Alibaba Cloud Table Store vs. AnzoGraph DB vs. Datomic vs. Graph Engine vs. jBASE

System Properties Comparison Alibaba Cloud Table Store vs. AnzoGraph DB vs. Datomic vs. Graph Engine vs. jBASE

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonDatomic  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonjBASE  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA robust multi-value DBMS comprising development tools and middleware
Primary database modelWide column storeGraph DBMS
RDF store
Relational DBMSGraph DBMS
Key-value store
Multivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#301  Overall
#12  Wide column stores
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Websitewww.alibabacloud.com/­product/­table-storecambridgesemantics.com/­anzographwww.datomic.comwww.graphengine.iowww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbase
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.datomic.comwww.graphengine.io/­docs/­manualdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9
DeveloperAlibabaCambridge SemanticsCognitectMicrosoftRocket Software (formerly Zumasys)
Initial release20162018201220101991
Current release2.3, January 20211.0.6735, June 20235.7
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availablecommercial infolimited edition freeOpen Source infoMIT Licensecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, Clojure.NET and C
Server operating systemshostedLinuxAll OS with a Java VM.NETAIX
Linux
Windows
Data schemeschema-freeSchema-free and OWL/RDFS-schema supportyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesoptional
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.nonononoyes
Secondary indexesnonoyes
SQL infoSupport of SQLnoSPARQL and SPARQL* as primary query language. Cypher preview.nonoEmbedded SQL for jBASE in BASIC
APIs and other access methodsHTTP APIApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
RESTful HTTP APIRESTful HTTP APIJDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesJava
Python
C++
Java
Python
Clojure
Java
C#
C++
F#
Visual Basic
.Net
Basic
Jabbascript
Java
Server-side scripts infoStored proceduresnouser defined functions and aggregatesyes infoTransaction Functionsyesyes
TriggersnonoBy using transaction functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceAutomatic shardingnone infoBut extensive use of caching in the application peershorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replication in MPP-Clusternone infoBut extensive use of caching in the application peersyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in MPP-ClusterImmediate Consistency
Foreign keys infoReferential integritynono infonot needed in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)optional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes inforecommended only for testing and developmentyesyes
User concepts infoAccess controlAccess rights based on subaccounts and tokensAccess rights for users and rolesnoAccess rights can be defined down to the item level

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More resources
Alibaba Cloud Table StoreAnzoGraph DBDatomicGraph Engine infoformer name: TrinityjBASE
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