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DBMS > InfluxDB vs. InterSystems Caché vs. Microsoft Azure Table Storage vs. Quasardb

System Properties Comparison InfluxDB vs. InterSystems Caché vs. Microsoft Azure Table Storage vs. Quasardb

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonQuasardb  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 Wide Column Store for rapid development using massive semi-structured datasetsDistributed, high-performance timeseries database
Primary database modelTime Series DBMSKey-value store
Object oriented DBMS
Relational DBMS
Wide column storeTime Series DBMS
Secondary database modelsSpatial DBMS infowith GEO packageDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewwww.intersystems.com/­products/­cacheazure.microsoft.com/­en-us/­services/­storage/­tablesquasar.ai
Technical documentationdocs.influxdata.com/­influxdbdocs.intersystems.comdoc.quasar.ai/­master
DeveloperInterSystemsMicrosoftquasardb
Initial release2013199720122009
Current release2.7.6, April 20242018.1.4, May 20203.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availablecommercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenonoyesno
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
hostedBSD
Linux
OS X
Windows
Data schemeschema-freedepending on used data modelschema-freeschema-free
Typing infopredefined data types such as float or dateNumeric data and Stringsyesyesyes infointeger and binary
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.noyesnono
Secondary indexesnoyesnoyes infowith tags
SQL infoSupport of SQLSQL-like query languageyesnoSQL-like query language
APIs and other access methodsHTTP API
JSON over UDP
.NET Client API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIHTTP API
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C#
C++
Java
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoyesnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlynoneSharding infoImplicit feature of the cloud serviceSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlySource-replica replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engineyesnoyes infoTransient mode
User concepts infoAccess controlsimple rights management via user accountsAccess rights for users, groups and rolesAccess rights based on private key authentication or shared access signaturesCryptographically strong user authentication and audit trail
More information provided by the system vendor
InfluxDBInterSystems CachéMicrosoft Azure Table StorageQuasardb
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
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