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DBMS > AgensGraph vs. AnzoGraph DB vs. Databricks vs. Firebase Realtime Database vs. OrigoDB

System Properties Comparison AgensGraph vs. AnzoGraph DB vs. Databricks vs. Firebase Realtime Database vs. OrigoDB

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonDatabricks  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A fully ACID in-memory object graph database
Primary database modelGraph DBMS
Relational DBMS
Graph DBMS
RDF store
Document store
Relational DBMS
Document storeDocument store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websitebitnine.net/­agensgraphcambridgesemantics.com/­anzographwww.databricks.comfirebase.google.com/­products/­realtime-databaseorigodb.com
Technical documentationbitnine.net/­documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.databricks.comfirebase.google.com/­docs/­databaseorigodb.com/­docs
DeveloperBitnine Global Inc.Cambridge SemanticsDatabricksGoogle infoacquired by Google 2014Robert Friberg et al
Initial release20162018201320122009 infounder the name LiveDB
Current release2.1, December 20182.3, January 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial infofree trial version availablecommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC#
Server operating systemsLinux
OS X
Windows
LinuxhostedhostedLinux
Windows
Data schemedepending on used data modelSchema-free and OWL/RDFS-schema supportFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collections
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.nonoyesnono infocan be achieved using .NET
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyesSPARQL and SPARQL* as primary query language. Cypher preview.with Databricks SQLnono
APIs and other access methodsCypher Query Language
JDBC
Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
ODBC
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
.NET Client API
HTTP API
LINQ
Supported programming languagesC
Java
JavaScript
Python
C++
Java
Python
Python
R
Scala
Java
JavaScript
Objective-C
.Net
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesuser defined functions and aggregateslimited functionality with using 'rules'yes
TriggersnonoCallbacks are triggered when data changesyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceAutomatic shardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication in MPP-ClusteryesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in MPP-ClusterImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Foreign keys infoReferential integrityyesno infonot needed in graphsnodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesyes, based on authentication and database rulesRole based authorization
More information provided by the system vendor
AgensGraphAnzoGraph DBDatabricksFirebase Realtime DatabaseOrigoDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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AgensGraphAnzoGraph DBDatabricksFirebase Realtime DatabaseOrigoDB
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