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DBMS > BigchainDB vs. GraphDB vs. Ingres vs. Microsoft Azure Synapse Analytics

System Properties Comparison BigchainDB vs. GraphDB vs. Ingres vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonIngres  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsEnterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.Well established RDBMSElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelDocument storeGraph DBMS
RDF store
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.82
Rank#212  Overall
#36  Document stores
Score3.10
Rank#100  Overall
#7  Graph DBMS
#4  RDF stores
Score4.67
Rank#77  Overall
#42  Relational DBMS
Score22.71
Rank#30  Overall
#18  Relational DBMS
Websitewww.bigchaindb.comwww.ontotext.comwww.actian.com/­databases/­ingresazure.microsoft.com/­services/­synapse-analytics
Technical documentationbigchaindb.readthedocs.io/­en/­latestgraphdb.ontotext.com/­documentationdocs.actian.com/­ingresdocs.microsoft.com/­azure/­synapse-analytics
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperOntotextActian CorporationMicrosoft
Initial release201620001974 infooriginally developed at University Berkely in early 1970s2016
Current release10.4, October 202311.2, May 2022
License infoCommercial or Open SourceOpen Source infoAGPL v3commercial infoSome plugins of GraphDB Workbench are open sourcedcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonJavaCC++
Server operating systemsLinuxAll OS with a Java VM
Linux
OS X
Windows
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
hosted
Data schemeschema-freeschema-free and OWL/RDFS-schema support; RDF shapesyesyes
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.nonono infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyes
SQL infoSupport of SQLnostored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCyesyes
APIs and other access methodsCLI Client
RESTful HTTP API
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
ADO.NET
JDBC
ODBC
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C#
Java
PHP
Server-side scripts infoStored procedureswell-defined plugin interfaces; JavaScript server-side extensibilityyesTransact SQL
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replicationIngres Replicatoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoConstraint checkingyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlyesDefault Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.fine grained access rights according to SQL-standardyes
More information provided by the system vendor
BigchainDBGraphDB infoformer name: OWLIMIngresMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
» more
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more
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