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DBMS > InfluxDB vs. OmniSci

System Properties Comparison InfluxDB vs. OmniSci

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score22.88
Rank#29  Overall
#1  Time Series DBMS
Score2.20
Rank#117  Overall
#58  Relational DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewwww.omnisci.com
Technical documentationdocs.influxdata.com/­influxdbdocs.omnisci.com/­latest
DeveloperMapD Technologies, Inc.
Initial release20132016
Current release1.8.0, April 2020V4
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++ and CUDA
Server operating systemsLinux
OS X infothrough Homebrew
Linux
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateNumeric 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.nono
Secondary indexesnono
SQL infoSupport of SQLSQL-like query languageyes
APIs and other access methodsHTTP API
JSON over UDP
JDBC
ODBC
Thrift
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlySharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
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
User concepts infoAccess controlsimple rights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
InfluxDBOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Licensing and pricing modelsOpen 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
InfluxDBOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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

InfluxDB Cloud now available on Microsoft Azure, Google Cloud and AWS
24 July 2020, Help Net Security

InfluxDB Cloud extends to Microsoft Azure Cloud — now available on all major cloud platforms
22 July 2020, DevOps.com

InfluxData becomes the embedded IoT database for PTC, adds Azure support
22 July 2020, ZDNet

Time Series Virtual Summit Speaker Spotlight: Jon Herlocker and Miroslav Malecha
15 July 2020, DevOps.com

Time Series Databases Software Market By Top Key Players: InfluxData, Trendalyze, Amazon Timestream, DataStax, Prometheus, QuasarDB, Warp 10, InfluxDB
9 August 2020, Chelanpress

provided by Google News

Impact of Covid-19 Global GPU Database Market (2020 To 2027) | Kinetica, Omnisci, Sqream, Neo4j, Nvidia
5 August 2020, Owned

Global GPU Database Market 2020 Top Manufacturers Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb
6 August 2020, Red & Black Student Newspaper

GPU Database Market 2020 Global Consumption, Segmentation, Growth, Development, Trends and Forecasts to 2027
11 August 2020, Reports Watch

GPU Database Market Report Covering Products, Financial Information, Developments, SWOT Analysis And Strategies Employed By Global Top Companies | Nvidia, Kinetica DB, OmniSci ,Neo4j
3 August 2020, Reports Watch

Global GPU Database Market Will Accelerate At a Highest CAGR By 2025-Leading Companies Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt and more
29 July 2020, Owned

provided by Google News

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