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DBMS > Brytlyt vs. Datomic vs. KeyDB vs. Prometheus

System Properties Comparison Brytlyt vs. Datomic vs. KeyDB vs. Prometheus

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonDatomic  Xexclude from comparisonKeyDB  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLDatomic 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 modelRelational DBMSRelational DBMSKey-value storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  Relational 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
Websitebrytlyt.iowww.datomic.comgithub.com/­Snapchat/­KeyDB
keydb.dev
prometheus.io
Technical documentationdocs.brytlyt.iodocs.datomic.comdocs.keydb.devprometheus.io/­docs
DeveloperBrytlytCognitectEQ Alpha Technology Ltd.
Initial release2016201220192015
Current release5.0, August 20231.0.6735, June 2023
License infoCommercial or Open Sourcecommercialcommercial 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 languageC, C++ and CUDAJava, ClojureC++Go
Server operating systemsLinux
OS X
Windows
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.yes infospecific XML-type available, but no XML query functionality.nonono infoImport of XML data possible
Secondary indexesyesyesyes infoby using the Redis Search moduleno
SQL infoSupport of SQLyesnonono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP APIProprietary protocol infoRESP - REdis Serialization ProtocoRESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
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 proceduresuser defined functions infoin PL/pgSQLyes infoTransaction FunctionsLuano
TriggersyesBy using transaction functionsnono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone 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 methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
none
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDOptimistic 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.yes inforecommended only for testing and developmentyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnosimple password-based access control and ACLno

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More resources
BrytlytDatomicKeyDBPrometheus
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