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DBMS > etcd vs. GraphDB vs. InfluxDB vs. UniData,UniVerse

System Properties Comparison etcd vs. GraphDB vs. InfluxDB vs. UniData,UniVerse

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Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonInfluxDB  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionA distributed reliable key-value storeEnterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportDBMS for storing time series, events and metricsMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelKey-value storeGraph DBMS
RDF store
Time Series DBMSMultivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.57
Rank#48  Overall
#6  Key-value stores
Score1.39
Rank#142  Overall
#10  Graph DBMS
#5  RDF stores
Score22.88
Rank#29  Overall
#1  Time Series DBMS
Score3.80
Rank#82  Overall
#2  Multivalue DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
graphdb.ontotext.comwww.influxdata.com/­products/­influxdb-overviewwww.rocketsoftware.com/­products/­rocket-u2
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
graphdb.ontotext.com/­documentationdocs.influxdata.com/­influxdbwww.rocketsoftware.com/­products/­rocket-u2/­documentation
DeveloperOntotextRocket Software
Initial release200020131985
Current release3.4, August 20198.8, January 20191.8.0, April 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infolimited edition freeOpen Source infoMIT-License; commercial enterprise version availablecommercial
Cloud-based only infoOnly available as a cloud servicenono infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.nono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaGoC
Server operating systemsFreeBSD
Linux
Windows infoexperimental
All OS with a Java VM
Linux
OS X
Windows
Linux
OS X infothrough Homebrew
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeschema-free and OWL/RDFS-schema supportschema-freeschema-free
Typing infopredefined data types such as float or datenoyesNumeric data and Stringsoptional
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
Secondary indexesnoyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesnoyes
SQL infoSupport of SQLnoSPARQL is used as query languageSQL-like query languageyes
APIs and other access methodsgRPC
JSON over HTTP
GeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
HTTP API
JSON over UDP
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresnoJava Server Pluginnoyes
Triggersyes, watching key changesnonoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoin enterprise version onlynone
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replicationselectable replication factor infoin enterprise version onlySource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)
Foreign keys infoReferential integritynoyes infoConstraint checkingnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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 controlnoyessimple rights management via user accountsAccess rights according to SQL-standard and operating system based
More information provided by the system vendor
etcdGraphDB infoformer name: OWLIMInfluxDBUniData,UniVerse
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

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
etcdGraphDB infoformer name: OWLIMInfluxDBUniData,UniVerse
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?
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Conferences and events

Reasoning with Big Knowledge Graphs: Choices, Pitfalls and Proven Recipes
Webinar, 8:00 AM PST / 11:00 AM EST / 5:00 PM CEST, 30 July 2020 (finished)

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