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DBMS > AnzoGraph DB vs. Datomic vs. Dolt vs. Firebase Realtime Database vs. Hypertable

System Properties Comparison AnzoGraph DB vs. Datomic vs. Dolt vs. Firebase Realtime Database vs. Hypertable

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonDatomic  Xexclude from comparisonDolt  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHypertable  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA MySQL compatible DBMS with Git-like versioning of data and schemaCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.An open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSDocument storeWide column store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.96
Rank#193  Overall
#90  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Websitecambridgesemantics.com/­anzographwww.datomic.comgithub.com/­dolthub/­dolt
www.dolthub.com
firebase.google.com/­products/­realtime-database
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.datomic.comdocs.dolthub.comfirebase.google.com/­docs/­database
DeveloperCambridge SemanticsCognitectDoltHub IncGoogle infoacquired by Google 2014Hypertable Inc.
Initial release20182012201820122009
Current release2.3, January 20211.0.6735, June 20230.9.8.11, March 2016
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercial infolimited edition freeOpen Source infoApache Version 2.0commercialOpen Source infoGNU version 3. Commercial license available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureGoC++
Server operating systemsLinuxAll OS with a Java VMLinux
macOS
Windows
hostedLinux
OS X
Windows infoan inofficial Windows port is available
Data schemeSchema-free and OWL/RDFS-schema supportyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nononono
Secondary indexesnoyesyesyesrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.noyesnono
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
RESTful HTTP APICLI Client
HTTP REST
Android
iOS
JavaScript API
RESTful HTTP API
C++ API
Thrift
Supported programming languagesC++
Java
Python
Clojure
Java
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Java
JavaScript
Objective-C
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infoTransaction Functionsyes infocurrently in alpha releaselimited functionality with using 'rules'no
TriggersnoBy using transaction functionsyesCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnone infoBut extensive use of caching in the application peersnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusternone infoBut extensive use of caching in the application peersA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.selectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDyesno
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.yesyes inforecommended only for testing and development
User concepts infoAccess controlAccess rights for users and rolesnoOnly one user is configurable, and must be specified in the config file at startupyes, based on authentication and database rulesno

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More resources
AnzoGraph DBDatomicDoltFirebase Realtime DatabaseHypertable
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