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DBMS > InfluxDB vs. InterSystems Caché vs. OrigoDB vs. YDB

System Properties Comparison InfluxDB vs. InterSystems Caché vs. OrigoDB vs. YDB

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonOrigoDB  Xexclude from comparisonYDB  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionDBMS for storing time series, events and metricsA multi-model DBMS and application serverA fully ACID in-memory object graph databaseA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelTime Series DBMSKey-value store
Object oriented DBMS
Relational DBMS
Document store
Object oriented DBMS
Document store
Relational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewwww.intersystems.com/­products/­cacheorigodb.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdocs.influxdata.com/­influxdbdocs.intersystems.comorigodb.com/­docsydb.tech/­en/­docs
DeveloperInterSystemsRobert Friberg et alYandex
Initial release201319972009 infounder the name LiveDB2019
Current release2.7.6, April 20242018.1.4, May 2020
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availablecommercialOpen SourceOpen Source infoApache 2.0; commercial license available
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#
Server operating systemsLinux
OS X infothrough Homebrew
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
Windows
Linux
Data schemeschema-freedepending on used data modelyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateNumeric data and StringsyesUser defined using .NET types and collectionsyes
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 infocan be achieved using .NETno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSQL-like query languageyesnoSQL-like query language (YQL)
APIs and other access methodsHTTP API
JSON over UDP
.NET Client API
JDBC
ODBC
RESTful HTTP API
.NET Client API
HTTP API
LINQ
RESTful HTTP API (DynamoDB compatible)
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C#
C++
Java
.NetGo
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnoyesyesno
Triggersnoyesyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlynonehorizontal partitioning infoclient side managed; servers are not synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlySource-replica replicationSource-replica replicationActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesdepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes
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 accountsAccess rights for users, groups and rolesRole based authorizationAccess rights defined for Yandex Cloud users
More information provided by the system vendor
InfluxDBInterSystems CachéOrigoDBYDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» 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
InfluxDBInterSystems CachéOrigoDBYDB
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Recent citations in the news

Introducing Amazon Timestream for InfluxDB: A managed service for the popular open source time-series database ...
20 May 2024, AWS Blog

Amazon Timestream: Managed InfluxDB for Time Series Data
14 March 2024, The New Stack

InfluxData Collaborating with AWS to Bring InfluxDB and Time Series Analytics to Developers Around the World
14 March 2024, Business Wire

How the FDAP Stack Gives InfluxDB 3.0 Real-Time Speed, Efficiency
15 March 2024, Datanami

Amazon Timestream for InfluxDB is now generally available
15 March 2024, AWS Blog

provided by Google News

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24 June 2022, ibm.com

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