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DBMS > AnzoGraph DB vs. Firebase Realtime Database vs. GigaSpaces vs. H2GIS vs. Oracle Rdb

System Properties Comparison AnzoGraph DB vs. Firebase Realtime Database vs. GigaSpaces vs. H2GIS vs. Oracle Rdb

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGigaSpaces  Xexclude from comparisonH2GIS  Xexclude from comparisonOracle Rdb  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsSpatial extension of H2
Primary database modelGraph DBMS
RDF store
Document storeDocument store
Object oriented DBMS infoValues are user defined objects
Spatial DBMSRelational DBMS
Secondary database modelsGraph DBMS
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score13.64
Rank#39  Overall
#6  Document stores
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.08
Rank#368  Overall
#7  Spatial DBMS
Score1.14
Rank#178  Overall
#80  Relational DBMS
Websitecambridgesemantics.com/­anzographfirebase.google.com/­products/­realtime-databasewww.gigaspaces.comwww.h2gis.orgwww.oracle.com/­database/­technologies/­related/­rdb.html
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmfirebase.google.com/­docs/­databasedocs.gigaspaces.com/­latest/­landing.htmlwww.h2gis.org/­docs/­homewww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperCambridge SemanticsGoogle infoacquired by Google 2014Gigaspaces TechnologiesCNRSOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release20182012200020131984
Current release2.3, January 202115.5, September 20207.4.1.1, 2021
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoLGPL 3.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetJava
Server operating systemsLinuxhostedLinux
macOS
Solaris
Windows
HP Open VMS
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeschema-freeyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyesyes
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 infoXML can be used for describing objects metadatanono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.noSQL-99 for query and DML statementsyesyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
Android
iOS
JavaScript API
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Supported programming languagesC++
Java
Python
Java
JavaScript
Objective-C
.Net
C++
Java
Python
Scala
Java
Server-side scripts infoStored proceduresuser defined functions and aggregateslimited functionality with using 'rules'yesyes infobased on H2
TriggersnoCallbacks are triggered when data changesyes, event driven architectureyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes infobased on H2
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnoyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDACIDyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlAccess rights for users and rolesyes, based on authentication and database rulesRole-based access controlyes infobased on H2

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More resources
AnzoGraph DBFirebase Realtime DatabaseGigaSpacesH2GISOracle Rdb
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