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DBMS > BigObject vs. EsgynDB vs. Graph Engine vs. gStore vs. OrigoDB

System Properties Comparison BigObject vs. EsgynDB vs. Graph Engine vs. gStore vs. OrigoDB

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonEsgynDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisongStore  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA native Graph DBMS to store and maintain very large RDF datasets.A fully ACID in-memory object graph database
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSGraph DBMS
Key-value store
Graph DBMS
RDF store
Document store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.04
Rank#359  Overall
#37  Graph DBMS
#18  RDF stores
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websitebigobject.iowww.esgyn.cnwww.graphengine.ioen.gstore.cnorigodb.com
Technical documentationdocs.bigobject.iowww.graphengine.io/­docs/­manualen.gstore.cn/­#/­enDocsorigodb.com/­docs
DeveloperBigObject, Inc.EsgynMicrosoftRobert Friberg et al
Initial release20152015201020162009 infounder the name LiveDB
Current release1.2, November 2023
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialOpen Source infoMIT LicenseOpen Source infoBSDOpen Source
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 languageC++, Java.NET and CC++C#
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux.NETLinuxLinux
Windows
Data schemeyesyesyesschema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or dateyesyesyesyesUser defined using .NET types and collections
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 infocan be achieved using .NET
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnonono
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
RESTful HTTP APIHTTP API
SPARQL 1.1
.NET Client API
HTTP API
LINQ
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC#
C++
F#
Visual Basic
C++
Java
JavaScript (Node.js)
PHP
Python
.Net
Server-side scripts infoStored proceduresLuaJava Stored Proceduresyesyesyes
Triggersnononoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioninghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication between multi datacentersSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesnodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoyesACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesnoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardUsers, roles and permissions, Role-Based Access Control (RBAC) supportedRole based authorization

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More resources
BigObjectEsgynDBGraph Engine infoformer name: TrinitygStoreOrigoDB
Recent citations in the news

Trinity
2 June 2023, Microsoft

Open source Microsoft Graph Engine takes on Neo4j
13 February 2017, InfoWorld

Aerospike Is Now a Graph Database, Too
21 June 2023, Datanami

IBM releases Graph, a service that can outperform SQL databases
27 July 2016, GeekWire

The graph analytics landscape 2019 - DataScienceCentral.com
27 February 2019, Data Science Central

provided by Google News



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