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DBMS > GraphDB vs. Greenplum vs. InfluxDB vs. RDF4J

System Properties Comparison GraphDB vs. Greenplum vs. InfluxDB vs. RDF4J

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Editorial information provided by DB-Engines
NameGraphDB infoformer name: OWLIM  Xexclude from comparisonGreenplum  Xexclude from comparisonInfluxDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionEnterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.DBMS for storing time series, events and metricsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelGraph DBMS
RDF store
Relational DBMSTime Series DBMSRDF store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.15
Rank#138  Overall
#8  Graph DBMS
#5  RDF stores
Score12.11
Rank#39  Overall
#24  Relational DBMS
Score20.33
Rank#32  Overall
#1  Time Series DBMS
Score0.40
Rank#219  Overall
#10  RDF stores
Websitegraphdb.ontotext.compivotal.io/­pivotal-greenplumwww.influxdata.com/­products/­influxdb-overviewrdf4j.org
Technical documentationgraphdb.ontotext.com/­documentationgpdb.docs.pivotal.iodocs.influxdata.com/­influxdbdocs.rdf4j.org
DeveloperOntotextPivotal Software Inc.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2000200520132004
Current release8.8, January 20195.10.0, July 20181.7.8, August 2019
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache 2.0Open Source infoMIT-License; commercial enterprise version availableOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud serviceno infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.nonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJava
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
LinuxLinux
OS X infothrough Homebrew
Linux
OS X
Unix
Windows
Data schemeschema-free and OWL/RDFS-schema supportyesschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesNumeric data and Stringsyes
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.noyes infosince Version 4.2no
Secondary indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesnoyes
SQL infoSupport of SQLSPARQL is used as query languageyesSQL-like query languageno
APIs and other access methodsGeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
JDBC
ODBC
HTTP API
JSON over UDP
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
Java
Perl
Python
R
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
PHP
Python
Server-side scripts infoStored proceduresJava Server Pluginyesnoyes
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoin enterprise version onlynone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationMaster-slave replicationselectable replication factor infoin enterprise version onlynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate Consistency
Foreign keys infoReferential integrityyes infoConstraint checkingyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoDepending on used storage engine
User concepts infoAccess controlyesfine grained access rights according to SQL-standardsimple rights management via user accountsno
More information provided by the system vendor
GraphDB infoformer name: OWLIMGreenplumInfluxDBRDF4J infoformerly known as Sesame
Specific characteristicsGraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» more
InfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Time to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Typical application scenariosMetadata enrichment and management, linked open data publishing, semantic inferencing...
» more
IoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Key customersBBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty...
» more
InfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Fastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Licensing and pricing modelsGraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual...
» more
Open source core with closed source clustering available either on-premise or on...
» more
News

A New Hope: The Rise of the Knowledge Graph
7 November 2019

The New Improved and Open GraphDB
7 November 2019

It Takes Two to Tango: Knowledge Graphs and Text Analysis
5 November 2019

Semantic Technology and the Strive for Drug Safety
21 October 2019

Artificial Intelligence and the Knowledge Graph
10 October 2019

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

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More resources
GraphDB infoformer name: OWLIMGreenplumInfluxDBRDF4J infoformerly known as Sesame
DB-Engines blog posts

Why Build a Time Series Data Platform?
20 July 2017, Paul Dix (guest author)

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

show all

Conferences and events

Designing Semantic Technology Proof-of-Concept
Online Training, 13:00 – 18:00 UTC, 12 December 2019

Ontotext Platform – the Fast Track from an RDF Model to a Knowledge Graph
Online Training, 4pm GMT, 17 December 2019

Recent citations in the news

Ontotext GraphDB - Handling Massive Loads, Queries and Inferencing in Real Time.
10 July 2019, KMWorld Magazine

Ontotext GraphDB Named Innovator in Bloor's Graph Database Market Research
11 February 2019, PRNewswire

Ontotext's GraphDB 9.0 Open-sources its Front-end and Engine Plugins to Empower Knowledge Graph Solutions
3 October 2019, PRNewswire

Ontotext's GraphDB 8.10 Makes Knowledge Graph Experience Faster and Richer
13 June 2019, Yahoo Finance

Ontotext's GraphDB 8.9 Boosts Semantic Similarity Search
10 April 2019, PRNewswire

provided by Google News

Greenplum 6 ventures outside the analytic box
19 March 2019, ZDNet

Greenplum 6 review: Jack of all trades, master of some
7 November 2019, InfoWorld

Greenplum goes open source -- and a new cloud analytics star is born
29 October 2015, InfoWorld

Pivotal Greenplum Analytic Database Adds Multicloud Support
18 September 2017, SDxCentral

Pivotal, Gravitational, and Google Water Kubernetes Expansion
25 March 2019, SDxCentral

provided by Google News

InfluxData Brings InfluxDB Cloud 2.0 Serverless Platform to Europe to Support Enterprise Transformation with Time Series Technology
14 November 2019, Business Wire

DevOps Chats: InfluxDB Cloud 2.0 Managed Service for Time Series Data
20 November 2019, DevOps.com

Creating Your Personal IoT/Utility Dashboard Using Grafana, Influxdb & Telegraf on a Raspberry Pi
12 November 2019, IoT For All

InfluxData Adds Major New Customers in 2019 — Underscoring the Extensive Demand and Capabilities of Time Series Technology
27 November 2019, Business Wire

news digest: ONNX at LF AI Foundation, InfluxDB Cloud 2.0, and IBM partners with Stanford Human-Centered AI Institute - SD Times
15 November 2019, SDTimes.com

provided by Google News

Big data database Apache Rya becomes a Top Level Project
10 October 2019, JAXenter

Amazon Neptune review: A scalable graph database for OLTP
13 May 2019, InfoWorld

Ontotext GraphDB - Handling Massive Loads, Queries and Inferencing in Real Time.
10 July 2019, KMWorld Magazine

Ontotext's GraphDB 8.10 Makes Knowledge Graph Experience Faster and Richer
13 June 2019, Yahoo Finance

GraphDB 9.0 Open Sources Its Front End and Engine Plugins to Support Knowledge Graph Solutions
7 October 2019, Database Trends and Applications

provided by Google News

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