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DBMS > InfluxDB vs. OmniSci

System Properties Comparison InfluxDB vs. OmniSci

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Our visitors often compare InfluxDB and OmniSci with Snowflake, DolphinDB and MongoDB.

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
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score26.55
Rank#28  Overall
#1  Time Series DBMS
Score1.24
Rank#153  Overall
#75  Relational DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewwww.omnisci.com
Technical documentationdocs.influxdata.com/­influxdbdocs.omnisci.com
DeveloperMapD Technologies, Inc.
Initial release20132016
Current release2.0.2, November 20205.5, January 2021
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
News

How to Parse Your XML Data with Telegraf
14 April 2021

TL;DR InfluxDB Tech Tips: Configuring a Slack Notification with InfluxDB
13 April 2021

How to Control Crowds with Python, OpenCV and InfluxDB
9 April 2021

Release Announcement: Telegraf 1.18.1
8 April 2021

Out-of-this-world monitoring with InfluxDB and React
6 April 2021

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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

InfluxData releases InfluxDB Notebooks to enhance collaboration for teams working with time series data
14 April 2021, Business Wire

InfluxData releases InfluxDB Notebooks to improve communication for software development teams
16 April 2021, Help Net Security

Reasons to switch to the InfluxDB time-series database, explored
25 August 2020, TechHQ

InfluxData Advances Possibilities of Time Series Data With General Availability of InfluxDB 2.0
10 November 2020, Business Wire

Time Series Databases Software Market Growth, After COVID-19 Pandemic Opportunity Assessment by – InfluxData, kdb+, Warp 10, Axibase Time Series Database, DataStax, QuasarDB, Prometheus, InfluxDB, Actian X, Amazon Timestream and Trendalyze
17 April 2021, NeighborWebSJ

provided by Google News

OmniSci Announces Multiple Opportunities To Accelerate Geospatial, GPU Database Knowledge At GTC 2021, April 12-16
12 April 2021, PRNewswire

OmniSci announces multiple opportunities to accelerate Geospatial, GPU Database Knowledge At GTC 2021, April 12-16 – Geospatial World
7 April 2021, Geospatial World

GPU Database Market Value Predicted To Reach US$ XX Billion By 2025 | Kinetica, OmniSci, SQream, Neo4j, NVIDIA – NeighborWebSJ
17 April 2021, NeighborWebSJ

GPU Database Market 2021 Industry Size, Share, Growth and Top Companies Analysis | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, Zilliz, and Jedox. Moreover, the other prospective players in the GPU database market are HeteroDB, H2O.ai, FASTDATA.io, Fuzzy Logix, and Anaconda.
16 April 2021, SoccerNurds

GPU Database Market is Expected to Show a Significant Growth During the Forecast Period 2021 – 2027 | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, Zilliz, and Jedox. Moreover, the other prospective players in the GPU database market are HeteroDB, H2O.ai, FASTDATA.io, Fuzzy Logix, and Anaconda.
16 April 2021, SoccerNurds

provided by Google News

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