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DBMS > AgensGraph vs. AnzoGraph DB vs. OrigoDB vs. TimescaleDB

System Properties Comparison AgensGraph vs. AnzoGraph DB vs. OrigoDB vs. TimescaleDB

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonOrigoDB  Xexclude from comparisonTimescaleDB  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 virtualizationA fully ACID in-memory object graph databaseA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelGraph DBMS
Relational DBMS
Graph DBMS
RDF store
Document store
Object oriented DBMS
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#333  Overall
#30  Graph DBMS
#146  Relational DBMS
Score0.27
Rank#302  Overall
#24  Graph DBMS
#13  RDF stores
Score0.03
Rank#378  Overall
#51  Document stores
#18  Object oriented DBMS
Score4.87
Rank#74  Overall
#4  Time Series DBMS
Websitebitnine.net/­agensgraphcambridgesemantics.com/­anzographorigodb.comwww.timescale.com
Technical documentationbitnine.net/­documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmorigodb.com/­docsdocs.timescale.com
DeveloperBitnine Global Inc.Cambridge SemanticsRobert Friberg et alTimescale
Initial release201620182009 infounder the name LiveDB2017
Current release2.1, December 20182.3, January 20212.13.0, November 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial infofree trial version availableOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC#C
Server operating systemsLinux
OS X
Windows
LinuxLinux
Windows
Linux
OS X
Windows
Data schemedepending on used data modelSchema-free and OWL/RDFS-schema supportyesyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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 infocan be achieved using .NETyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesSPARQL and SPARQL* as primary query language. Cypher preview.noyes infofull PostgreSQL SQL syntax
APIs and other access methodsCypher Query Language
JDBC
Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
.NET Client API
HTTP API
LINQ
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
Java
JavaScript
Python
C++
Java
Python
.Net.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnonoyes infoDomain Eventsyes
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 synchronizedyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication in MPP-ClusterSource-replica replicationSource-replica replication with hot standby and reads on replicas info
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 Consistency
Foreign keys infoReferential integrityyesno infonot needed in graphsdepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesRole based authorizationfine grained access rights according to SQL-standard

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More resources
AgensGraphAnzoGraph DBOrigoDBTimescaleDB
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