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DBMS > InfluxDB vs. OpenQM vs. Oracle NoSQL vs. UniData,UniVerse

System Properties Comparison InfluxDB vs. OpenQM vs. Oracle NoSQL vs. UniData,UniVerse

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsQpenQM is a high-performance, self-tuning, multi-value DBMSKey-value store based on Berkeley DB Java EditionMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelTime Series DBMSMultivalue DBMSKey-value storeMultivalue DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.33
Rank#32  Overall
#1  Time Series DBMS
Score0.27
Rank#243  Overall
#10  Multivalue DBMS
Score3.39
Rank#80  Overall
#13  Key-value stores
Score3.32
Rank#83  Overall
#2  Multivalue DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewwww.openqm.comwww.oracle.com/­database/­nosql/­index.htmlwww.rocketsoftware.com/­products/­rocket-u2
Technical documentationdocs.influxdata.com/­influxdbwww.openqm.com/­support/­documentationdocs.oracle.com/­cd/­NOSQL/­index.htmlwww.rocketsoftware.com/­products/­rocket-u2/­documentation
DeveloperMartin PhillipsOracleRocket Software
Initial release2013199320111985
Current release1.7.8, August 20193.4-1218.3, November 2018
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoGPLv2, extended commercial license availableOpen Source infoApache V2 for Community Edition, proprietary license for Enterprise Editioncommercial
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 languageGoJavaC
Server operating systemsLinux
OS X infothrough Homebrew
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
Solaris SPARC/x86
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyes infowith some exceptionsoptional, scheme definition possible with AVRO or in 'table-style'schema-free
Typing infopredefined data types such as float or dateNumeric data and Stringsoptionaloptional
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.noyesno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSQL-like query languagenoSQL-like DML and DDL statementsyes
APIs and other access methodsHTTP API
JSON over UDP
RESTful HTTP APIJava API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Basic
C
Java
Objective C
PHP
Python
C
C#
Java
JavaScript (Node.js)
Python
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresnoyesnoyes
Triggersnoyesnoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlyyesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyyesElectable Master-Slave per shardMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDconfigurable infoACID within a storage node (=shard)ACID 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.yes infoDepending on used storage engineyes infooff heap cache
User concepts infoAccess controlsimple rights management via user accountsAccess rights can be defined down to the item levelAccess rights for users and rolesAccess rights according to SQL-standard and operating system based
More information provided by the system vendor
InfluxDBOpenQM infoalso called QMOracle NoSQLUniData,UniVerse
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Oracle NoSQL Database is a scalable , distributed NoSQL database, designed to provide...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Data can be modeled as relational-database-style tables, JSON documents, RDF Triples...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Internet of Things where large volume of data needs to be stored and processed very...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Large credit card company Airbus NTT Docomo Global rewards company
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Oracle NoSQL Database is used by hundreds of companies around the world. Oracle NoSQL...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
Oracle NoSQL Database Enterprise Edition can be purchased under the Oracle Commercial...
» 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
InfluxDBOpenQM infoalso called QMOracle NoSQLUniData,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?
1 June 2015, Paul Andlinger

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Recent citations in the 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

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

InfluxData launches InfluxDB Cloud 2.0 – the first serverless time series platform-as-a-service
10 September 2019, Business Wire

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2 October 2018, GlobeNewswire

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Oracle Patches 219 Security Vulnerabilities – 142 Remotely Exploitable
16 October 2019, Computer Business Review

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3 October 2011, Wired News

Oracle drops 219 fixes in October 2019 critical patch update
17 October 2019, CSO Australia

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22 October 2019, ADT Magazine

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Rocket Software UniData Offers High Level of Performance for the Society of Authors
23 October 2019, Database Trends and Applications

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