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DBMS > InfluxDB vs. OmniSci vs. Yaacomo vs. YugabyteDB

System Properties Comparison InfluxDB vs. OmniSci vs. Yaacomo vs. YugabyteDB

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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 comparisonYaacomo  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUsOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computingHigh-performance distributed SQL database for global, internet-scale applications. Wire compatible with PostgreSQL.
Primary database modelTime Series DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score27.17
Rank#29  Overall
#1  Time Series DBMS
Score1.24
Rank#151  Overall
#72  Relational DBMS
Score0.00
Rank#351  Overall
#142  Relational DBMS
Score0.95
Rank#177  Overall
#89  Relational DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewwww.omnisci.comyaacomo.comwww.yugabyte.com
Technical documentationdocs.influxdata.com/­influxdbdocs.omnisci.comdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperMapD Technologies, Inc.Q2WEB GmbHYugabyte Inc.
Initial release2013201620092017
Current release2.0.2, November 20205.5, January 20212.4, January 2021
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoApache Version 2; enterprise edition availablecommercialOpen Source infoApache 2.0
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 languageGoC++ and CUDAC and C++
Server operating systemsLinux
OS X infothrough Homebrew
LinuxAndroid
Linux
Windows
Linux
OS X
Data schemeschema-freeyesyesdepending on used data model
Typing infopredefined data types such as float or dateNumeric data and Stringsyesyesyes
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.nononono
Secondary indexesnonoyesyes
SQL infoSupport of SQLSQL-like query languageyesyesyes, PostgreSQL compatible
APIs and other access methodsHTTP API
JSON over UDP
JDBC
ODBC
Thrift
JDBC
ODBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
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
C
C#
C++
Go
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnonoyes infosql, plpgsql, C
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlySharding infoRound robinhorizontal partitioningHash and Range Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyMulti-source replicationSource-replica replicationBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engineyesyesno
User concepts infoAccess controlsimple rights management via user accountsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes
More information provided by the system vendor
InfluxDBOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018YaacomoYugabyteDB
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

Release Announcement: Telegraf 1.18.2
30 April 2021

Release Announcement: InfluxDB OSS 2.0.6
29 April 2021

Deploying Services with Docker, NGINX, Route 53 & Let’s Encrypt
26 April 2021

Release Announcement: InfluxDB OSS and InfluxDB Enterprise 1.8.5
20 April 2021

InfluxDB’s Checks and Notifications System
19 April 2021

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.

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More resources
InfluxDBOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018YaacomoYugabyteDB
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

InfluxDB Makes it Easier for Disparate Devs to Collaborate on Time Series Data -- ADTmag
29 April 2021, ADT Magazine

InfluxData strengthens leadership team with three new Vice Presidents
21 April 2021, Business Wire

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

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

provided by Google News

GPU Database Market Research & Clinical Advancements by 2028 | Kinetica, Blazegraph, Neo4j – KSU | The Sentinel Newspaper
8 May 2021, KSU | The Sentinel Newspaper

Global GPU Database Market 2025: Top Key Players Graphistry, Kinetica, SQream, OmniSci, NVIDIA, Neo4j, Blazegraph and others – The Courier
5 May 2021, The Courier

GPU Database Market 2021-2025 Analysis By Key Players: Kinetica, Omnisci, Sqream, Neo4j, Nvidia etc. – SoccerNurds
4 May 2021, SoccerNurds

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

GPU Database Market COVID 19 Impacted In-Depth Analysis including key players Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb – Clark County Blog
6 May 2021, Clark County Blog

provided by Google News

Yugabyte Releases Database on Kubernetes Clusters
7 May 2021, Container Journal

Yugabyte :DB 2.7 Now Generally Available, Extending Multi-Cloud and Kubernetes Support
5 May 2021, Marketscreener.com

YugabyteDB 2.7 available, extending multi-cloud and kubernetes support - CRN - India
7 May 2021, CRN.in

Yugabyte Hardens Security in Latest Platform Release
12 February 2021, Database Trends and Applications

Yugabyte Raises More Funds, Announces Acquisition
3 March 2021, Datanami

provided by Google News

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