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DBMS > Elasticsearch vs. KeyDB vs. Prometheus vs. Splunk

System Properties Comparison Elasticsearch vs. KeyDB vs. Prometheus vs. Splunk

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonKeyDB  Xexclude from comparisonPrometheus  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsOpen-source Time Series DBMS and monitoring systemAnalytics Platform for Big Data
Primary database modelSearch engineKey-value storeTime Series DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score128.79
Rank#8  Overall
#1  Search engines
Score0.63
Rank#232  Overall
#32  Key-value stores
Score7.56
Rank#49  Overall
#3  Time Series DBMS
Score93.02
Rank#13  Overall
#2  Search engines
Websitewww.elastic.co/­elasticsearchgithub.com/­Snapchat/­KeyDB
keydb.dev
prometheus.iowww.splunk.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.keydb.devprometheus.io/­docsdocs.splunk.com/­Documentation/­Splunk
DeveloperElasticEQ Alpha Technology Ltd.Splunk Inc.
Initial release2010201920152003
Current release8.6, January 2023
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoBSD-3Open Source infoApache 2.0commercial infoLimited free edition and free developer edition 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 languageJavaC++Go
Server operating systemsAll OS with a Java VMLinuxLinux
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyesyes
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesNumeric data onlyyes
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 infoImport of XML data possibleyes
Secondary indexesyes infoAll search fields are automatically indexedyes infoby using the Redis Search modulenoyes
SQL infoSupport of SQLSQL-like query languagenonono infoSplunk Search Processing Language for search commands
APIs and other access methodsJava API
RESTful HTTP/JSON API
Proprietary protocol infoRESP - REdis Serialization ProtocoRESTful HTTP/JSON APIHTTP REST
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
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
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesLuanoyes
Triggersyes infoby using the 'percolation' featurenonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
yes infoby FederationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allEventual Consistency
Strong eventual consistency with CRDTs
noneEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoOptimistic locking, atomic execution of commands blocks and scriptsnono infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyesnono
User concepts infoAccess controlsimple password-based access control and ACLnoAccess rights for users and roles

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More resources
ElasticsearchKeyDBPrometheusSplunk
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