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DBMS > Blazegraph vs. Datomic vs. FatDB vs. Google Cloud Firestore vs. jBASE

System Properties Comparison Blazegraph vs. Datomic vs. FatDB vs. Google Cloud Firestore vs. jBASE

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonDatomic  Xexclude from comparisonFatDB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonjBASE  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA .NET NoSQL DBMS that can integrate with and extend SQL Server.Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.A robust multi-value DBMS comprising development tools and middleware
Primary database modelGraph DBMS
RDF store
Relational DBMSDocument store
Key-value store
Document storeMultivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Websiteblazegraph.comwww.datomic.comfirebase.google.com/­products/­firestorewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbase
Technical documentationwiki.blazegraph.comdocs.datomic.comfirebase.google.com/­docs/­firestoredocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9
DeveloperBlazegraphCognitectFatCloudGoogleRocket Software (formerly Zumasys)
Initial release20062012201220171991
Current release2.1.5, March 20191.0.6735, June 20235.7
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercial infolimited edition freecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, ClojureC#
Server operating systemsLinux
OS X
Windows
All OS with a Java VMWindowshostedAIX
Linux
Windows
Data schemeschema-freeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesyesyesoptional
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.nonoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languagenono infoVia inetgration in SQL ServernoEmbedded SQL for jBASE in BASIC
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
RESTful HTTP API.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
Clojure
Java
C#Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
Basic
Jabbascript
Java
Server-side scripts infoStored proceduresyesyes infoTransaction Functionsyes infovia applicationsyes, Firebase Rules & Cloud Functionsyes
TriggersnoBy using transaction functionsyes infovia applicationsyes, with Cloud Functionsyes
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersselectable replication factorMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyes
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)nono infoCan implement custom security layer via applicationsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Access rights can be defined down to the item level

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More resources
BlazegraphDatomicFatDBGoogle Cloud FirestorejBASE
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