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DBMS > AnzoGraph DB vs. BigObject vs. GridDB vs. STSdb

System Properties Comparison AnzoGraph DB vs. BigObject vs. GridDB vs. STSdb

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonBigObject  Xexclude from comparisonGridDB  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationAnalytic DBMS for real-time computations and queriesScalable in-memory time series database optimized for IoT and Big DataKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelGraph DBMS
RDF store
Relational DBMS infoa hierachical model (tree) can be imposedTime Series DBMSKey-value store
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#297  Overall
#25  Graph DBMS
#13  RDF stores
Score0.05
Rank#329  Overall
#148  Relational DBMS
Score1.23
Rank#159  Overall
#11  Time Series DBMS
Score0.01
Rank#345  Overall
#53  Key-value stores
Websitewww.cambridgesemantics.com/­anzographbigobject.iogriddb.netgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.bigobject.iodocs.griddb.net
DeveloperCambridge SemanticsBigObject, Inc.Toshiba CorporationSTS Soft SC
Initial release2018201520132011
Current release2.3, January 20214.6, February 20214.0.8, September 2015
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercial infofree community edition availableOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C#
Server operating systemsLinuxLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
LinuxWindows
Data schemeSchema-free and OWL/RDFS-schema supportyesyesyes
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampyes infoprimitive types and user defined types (classes)
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.nonono
Secondary indexesnoyesyesno
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL-like DML and DDL statementsSQL92, SQL-like TQL (Toshiba Query Language)no
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
fluentd
ODBC
RESTful HTTP API
Proprietary protocol.NET Client API
Supported programming languagesC++
Java
Python
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesLuanono
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusternoneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusternoneImmediate consistency within container, eventual consistency across containers
Foreign keys infoReferential integrityno infonot needed in graphsyes infoautomatically between fact table and dimension tablesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID at container levelno
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users and rolesnoAccess rights for users can be defined per databaseno
More information provided by the system vendor
AnzoGraph DBBigObjectGridDBSTSdb
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
AnzoGraph DBBigObjectGridDBSTSdb
Recent citations in the news

AnzoGraph review: A graph database for deep analytics
15 April 2019, InfoWorld

Cambridge Semantics Announces Major Upgrades to Its Award-Winning AnzoGraph® DB, Including Free Edition for Commercial Use
23 January 2020, Business Wire

Cambridge Semantics Unveils AnzoGraph DB with Geospatial Analytics
19 June 2020, Solutions Review

Cambridge Semantics Announces AnzoGraph™ Graph-Based Online Analytics Support for Amazon Neptune and Graph Databases
15 February 2018, Business Wire

Global Metadata Management Tools Market Size, Share & Industry Trends Analysis Report, 2021 - 2027
9 May 2022, Yahoo Finance

provided by Google News

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