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DBMS > AgensGraph vs. eXtremeDB vs. OrigoDB vs. TimescaleDB

System Properties Comparison AgensGraph vs. eXtremeDB vs. OrigoDB vs. TimescaleDB

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisoneXtremeDB  Xexclude from comparisonOrigoDB  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLNatively in-memory DBMS with options for persistency, high-availability and clusteringA 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
Relational DBMS
Time Series DBMS
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
Score0.73
Rank#227  Overall
#104  Relational DBMS
#18  Time Series DBMS
Score0.03
Rank#378  Overall
#51  Document stores
#18  Object oriented DBMS
Score4.87
Rank#74  Overall
#4  Time Series DBMS
Websitebitnine.net/­agensgraphwww.mcobject.comorigodb.comwww.timescale.com
Technical documentationbitnine.net/­documentationwww.mcobject.com/­docs/­extremedb.htmorigodb.com/­docsdocs.timescale.com
DeveloperBitnine Global Inc.McObjectRobert Friberg et alTimescale
Initial release201620012009 infounder the name LiveDB2017
Current release2.1, December 20188.2, 20212.13.0, November 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC and C++C#C
Server operating systemsLinux
OS X
Windows
AIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
Windows
Linux
OS X
Windows
Data schemedepending on used data modelyesyesyes
Typing infopredefined data types such as float or dateyesyesUser 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.nono infosupport of XML interfaces availableno infocan be achieved using .NETyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyes infowith the option: eXtremeSQLnoyes infofull PostgreSQL SQL syntax
APIs and other access methodsCypher Query Language
JDBC
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
.NET Client API
HTTP API
LINQ
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
Java
JavaScript
Python
.Net
C
C#
C++
Java
Lua
Python
Scala
.Net.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesyesyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyes infoby defining eventsyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancehorizontal partitioning / 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 replicationActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Source-replica replicationSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesdepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
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-standardRole based authorizationfine grained access rights according to SQL-standard
More information provided by the system vendor
AgensGrapheXtremeDBOrigoDBTimescaleDB
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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More resources
AgensGrapheXtremeDBOrigoDBTimescaleDB
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