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DBMS > Datomic vs. InfluxDB vs. PlanetScale vs. SiteWhere

System Properties Comparison Datomic vs. InfluxDB vs. PlanetScale vs. SiteWhere

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonInfluxDB  Xexclude from comparisonPlanetScale  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityDBMS for storing time series, events and metricsScalable, distributed, serverless MySQL database platform built on top of VitessM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSTime Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS infowith GEO packageDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitewww.datomic.comwww.influxdata.com/­products/­influxdb-overviewplanetscale.comgithub.com/­sitewhere/­sitewhere
Technical documentationdocs.datomic.comdocs.influxdata.com/­influxdbplanetscale.com/­docssitewhere1.sitewhere.io/­index.html
DeveloperCognitectPlanetScaleSiteWhere
Initial release2012201320202010
Current release1.0.7075, December 20232.7.6, April 2024
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoMIT-License; commercial enterprise version availablecommercialOpen Source infoCommon Public Attribution License Version 1.0
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 languageJava, ClojureGoGoJava
Server operating systemsAll OS with a Java VMLinux
OS X infothrough Homebrew
Docker
Linux
macOS
Linux
OS X
Windows
Data schemeyesschema-freeyespredefined scheme
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyesyes
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.nonono
Secondary indexesyesnoyesno
SQL infoSupport of SQLnoSQL-like query languageyes infowith proprietary extensionsno
APIs and other access methodsRESTful HTTP APIHTTP API
JSON over UDP
ADO.NET
JDBC
MySQL protocol
ODBC
HTTP REST
Supported programming languagesClojure
Java
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infoTransaction Functionsnoyes infoproprietary syntax
TriggersBy using transaction functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersSharding infoin enterprise version onlyShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersselectable replication factor infoin enterprise version onlyMulti-source replication
Source-replica replication
selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID at shard levelno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyes infoDepending on used storage engineyesno
User concepts infoAccess controlnosimple rights management via user accountsUsers with fine-grained authorization concept infono user groups or rolesUsers with fine-grained authorization concept
More information provided by the system vendor
DatomicInfluxDBPlanetScaleSiteWhere
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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More resources
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