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DBMS > Apache IoTDB vs. Datomic vs. KeyDB vs. Prometheus

System Properties Comparison Apache IoTDB vs. Datomic vs. KeyDB vs. Prometheus

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonDatomic  Xexclude from comparisonKeyDB  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsOpen-source Time Series DBMS and monitoring system
Primary database modelTime Series DBMSRelational DBMSKey-value storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.71
Rank#226  Overall
#33  Key-value stores
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Websiteiotdb.apache.orgwww.datomic.comgithub.com/­Snapchat/­KeyDB
keydb.dev
prometheus.io
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.datomic.comdocs.keydb.devprometheus.io/­docs
DeveloperApache Software FoundationCognitectEQ Alpha Technology Ltd.
Initial release2018201220192015
Current release1.1.0, April 20231.0.6735, June 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infolimited edition freeOpen Source infoBSD-3Open 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 languageJavaJava, ClojureC++Go
Server operating systemsAll OS with a Java VM (>= 1.8)All OS with a Java VMLinuxLinux
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesNumeric data only
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 infoImport of XML data possible
Secondary indexesyesyesyes infoby using the Redis Search moduleno
SQL infoSupport of SQLSQL-like query languagenonono
APIs and other access methodsJDBC
Native API
RESTful HTTP APIProprietary protocol infoRESP - REdis Serialization ProtocoRESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Clojure
Java
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyesyes infoTransaction FunctionsLuano
TriggersyesBy using transaction functionsnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)none infoBut extensive use of caching in the application peersShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnone infoBut extensive use of caching in the application peersMulti-source replication
Source-replica replication
yes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
none
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDOptimistic locking, atomic execution of commands blocks and scriptsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and developmentyesno
User concepts infoAccess controlyesnosimple password-based access control and ACLno

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More resources
Apache IoTDBDatomicKeyDBPrometheus
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