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DBMS > Blazegraph vs. Google Cloud Datastore vs. JaguarDB vs. Microsoft Access vs. Oracle Coherence

System Properties Comparison Blazegraph vs. Google Cloud Datastore vs. JaguarDB vs. Microsoft Access vs. Oracle Coherence

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonJaguarDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonOracle Coherence  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformPerformant, highly scalable DBMS for AI and IoT applicationsMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Oracles in-memory data grid solution
Primary database modelGraph DBMS
RDF store
Document storeKey-value store
Vector DBMS
Relational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.81
Rank#213  Overall
#19  Graph DBMS
#8  RDF stores
Score4.36
Rank#72  Overall
#12  Document stores
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score1.97
Rank#129  Overall
#22  Key-value stores
Websiteblazegraph.comcloud.google.com/­datastorewww.jaguardb.comwww.microsoft.com/­en-us/­microsoft-365/­accesswww.oracle.com/­java/­coherence
Technical documentationwiki.blazegraph.comcloud.google.com/­datastore/­docswww.jaguardb.com/­support.htmldeveloper.microsoft.com/­en-us/­accessdocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperBlazegraphGoogleDataJaguar, Inc.MicrosoftOracle
Initial release20062008201519922007
Current release2.1.5, March 20193.3 July 20231902 (16.0.11328.20222), March 201914.1, August 2023
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercialOpen Source infoGPL V3.0commercial infoBundled with Microsoft Officecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++ infothe server part. Clients available in other languagesC++Java
Server operating systemsLinux
OS X
Windows
hostedLinuxWindows infoNot a real database server, but making use of DLLsAll OS with a Java VM
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyes infoRDF literal typesyes, details hereyesyesyes
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 indexesyesyesyesyesno
SQL infoSupport of SQLSPARQL is used as query languageSQL-like query language (GQL)A subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes infobut not compliant to any SQL standardno
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
JCache
JPA
RESTful HTTP API
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C++
Java
Server-side scripts infoStored proceduresyesusing Google App Enginenoyes infosince Access 2010 using the ACE-engineno
TriggersnoCallbacks using the Google Apps Enginenoyes infosince Access 2010 using the ACE-engineyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication using PaxosMulti-source replicationnoneyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Eventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsyes infovia ReferenceProperties or Ancestor pathsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACID infobut no files for transaction loggingconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction loggingyes infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)rights management via user accountsno infoa simple user-level security was built in till version Access 2003authentification to access the cache via certificates or http basic authentication

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More resources
BlazegraphGoogle Cloud DatastoreJaguarDBMicrosoft AccessOracle Coherence
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