DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > AgensGraph vs. Kinetica vs. TerminusDB vs. Trafodion

System Properties Comparison AgensGraph vs. Kinetica vs. TerminusDB vs. Trafodion

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonKinetica  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLFully vectorized database across both GPUs and CPUsScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsTransactional SQL-on-Hadoop DBMS
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSGraph DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Websitebitnine.net/­agensgraphwww.kinetica.comterminusdb.comtrafodion.apache.org
Technical documentationbitnine.net/­documentationdocs.kinetica.comterminusdb.github.io/­terminusdb/­#trafodion.apache.org/­documentation.html
DeveloperBitnine Global Inc.KineticaDataChemist Ltd.Apache Software Foundation, originally developed by HP
Initial release2016201220182014
Current release2.1, December 20187.1, August 202111.0.0, January 20232.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoGPL V3Open 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, C++Prolog, RustC++, Java
Server operating systemsLinux
OS X
Windows
LinuxLinuxLinux
Data schemedepending on used data modelyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsSQL-like query language (WOQL)yes
APIs and other access methodsCypher Query Language
JDBC
JDBC
ODBC
RESTful HTTP API
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
ADO.NET
JDBC
ODBC
Supported programming languagesC
Java
JavaScript
Python
C++
Java
JavaScript (Node.js)
Python
JavaScript
Python
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyesuser defined functionsyesJava Stored Procedures
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyesno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingGraph PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationJournaling Streamsyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory journalingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles on table levelRole-based access controlfine grained access rights according to SQL-standard

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
AgensGraphKineticaTerminusDB infoformer name was DataChemistTrafodion
Recent citations in the news

Graph DBMS Performance Comparison AgensGraph vs. Neo4j
29 June 2017, Business Wire

Bitnine Releases AgensGraph 2.1, the Multi-model Graph Database Optimized for the Legacy Environment
29 January 2019, Business Wire

AGE - The Open Source PostgreSQL Extension For Graph Database Functionality
27 June 2022, iProgrammer

Bitnine: The Newly Revealed 'AI Teacher' Powered by Graph Database Delivers Hyper-Personalized Learning ...
25 March 2019, Business Wire

Bitnine Announces Plans for New Business with Apache AGE's Top-Level Promotion
14 June 2022, Business Wire

provided by Google News

Kinetica Delivers Real-Time Vector Similarity Search
21 March 2024, insideBIGDATA

Kinetica Elevates RAG with Fast Access to Real-Time Data
26 March 2024, Datanami

Kinetica ramps up RAG for generative AI, empowering enterprises with real-time operational data
18 March 2024, SiliconANGLE News

Kinetica Launches Generative AI Solution for Real-Time Inferencing Powered by NVIDIA AI Enterprise
18 March 2024, GlobeNewswire

Transforming spatiotemporal data analysis with GPUs and generative AI
30 October 2023, InfoWorld

provided by Google News

How TerminusDB is commercializing its open source graph database
16 March 2021, VentureBeat

TerminusDB Takes on Data Collaboration with a git-Like Approach
1 December 2020, The New Stack

Trinity College spinout TerminusDB secures €3.6m in investment
15 March 2021, The Irish Times

[MCR2030-CAMS-ARISE-UNDRR Webinar] Preventing cascading failures of critical assets: Using the Open-Source ...
12 April 2022, United Nations Office for Disaster Risk Reduction

Irish start-ups received €28m from Enterprise Ireland in 2021
7 April 2022, SiliconRepublic.com

provided by Google News

Evaluating HTAP Databases for Machine Learning Applications
2 November 2016, KDnuggets

HP Throws Trafodion Hat into OLTP Hadoop Ring
14 July 2014, Datanami

Low-latency, distributed database architectures are critical for emerging fog applications
7 April 2022, Embedded Computing Design

Apache Software Foundation Releases its 2019 Fiscal Year Report
17 August 2019, Open Source For You

provided by Google News



Share this page

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Present your product here