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DBMS > AnzoGraph DB vs. FatDB vs. Firebase Realtime Database vs. HugeGraph

System Properties Comparison AnzoGraph DB vs. FatDB vs. Firebase Realtime Database vs. HugeGraph

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonFatDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHugeGraph  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationA .NET NoSQL DBMS that can integrate with and extend SQL Server.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A fast-speed and highly-scalable Graph DBMS
Primary database modelGraph DBMS
RDF store
Document store
Key-value store
Document storeGraph 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
Score0.17
Rank#335  Overall
#31  Graph DBMS
Websitecambridgesemantics.com/­anzographfirebase.google.com/­products/­realtime-databasegithub.com/­hugegraph
hugegraph.apache.org
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmfirebase.google.com/­docs/­databasehugegraph.apache.org/­docs
DeveloperCambridge SemanticsFatCloudGoogle infoacquired by Google 2014Baidu
Initial release2018201220122018
Current release2.3, January 20210.9
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#Java
Server operating systemsLinuxWindowshostedLinux
macOS
Unix
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesnoyesyesyes infoalso supports composite index and range index
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.no infoVia inetgration in SQL Servernono
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Android
iOS
JavaScript API
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesC++
Java
Python
C#Java
JavaScript
Objective-C
Groovy
Java
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infovia applicationslimited functionality with using 'rules'asynchronous Gremlin script jobs
Triggersnoyes infovia applicationsCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusterselectable replication factoryes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyesnovia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterEventual Consistency
Immediate Consistency
Eventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnonoyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and rolesno infoCan implement custom security layer via applicationsyes, based on authentication and database rulesUsers, roles and permissions

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More resources
AnzoGraph DBFatDBFirebase Realtime DatabaseHugeGraph
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