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DBMS > AnzoGraph DB vs. Firebase Realtime Database vs. LeanXcale

System Properties Comparison AnzoGraph DB vs. Firebase Realtime Database vs. LeanXcale

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonLeanXcale  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.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelGraph DBMS
RDF store
Document storeKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score14.29
Rank#39  Overall
#6  Document stores
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Websitecambridgesemantics.com/­anzographfirebase.google.com/­products/­realtime-databasewww.leanxcale.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmfirebase.google.com/­docs/­database
DeveloperCambridge SemanticsGoogle infoacquired by Google 2014LeanXcale
Initial release201820122015
Current release2.3, January 2021
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Server operating systemsLinuxhosted
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeyes
Typing infopredefined data types such as float or dateyes
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.nono
Secondary indexesnoyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.noyes infothrough Apache Derby
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
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesC++
Java
Python
Java
JavaScript
Objective-C
C
Java
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregateslimited functionality with using 'rules'
TriggersnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnono
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
Foreign keys infoReferential integrityno infonot needed in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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 rolesyes, based on authentication and database rules

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More resources
AnzoGraph DBFirebase Realtime DatabaseLeanXcale
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