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DBMS > KeyDB vs. Prometheus vs. Spark SQL

System Properties Comparison KeyDB vs. Prometheus vs. Spark SQL

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Editorial information provided by DB-Engines
NameKeyDB  Xexclude from comparisonPrometheus  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsOpen-source Time Series DBMS and monitoring systemSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.71
Rank#226  Overall
#33  Key-value stores
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitegithub.com/­Snapchat/­KeyDB
keydb.dev
prometheus.iospark.apache.org/­sql
Technical documentationdocs.keydb.devprometheus.io/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperEQ Alpha Technology Ltd.Apache Software Foundation
Initial release201920152014
Current release3.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoBSD-3Open Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoScala
Server operating systemsLinuxLinux
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datepartial 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.nono infoImport of XML data possibleno
Secondary indexesyes infoby using the Redis Search modulenono
SQL infoSupport of SQLnonoSQL-like DML and DDL statements
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocoRESTful HTTP/JSON APIJDBC
ODBC
Supported programming languagesC
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
Java
Python
R
Scala
Server-side scripts infoStored proceduresLuanono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoby Federationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong eventual consistency with CRDTs
none
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataOptimistic locking, atomic execution of commands blocks and scriptsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes 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.yesnono
User concepts infoAccess controlsimple password-based access control and ACLnono

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More resources
KeyDBPrometheusSpark SQL
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