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DBMS > FatDB vs. Hawkular Metrics vs. KeyDB vs. OpenEdge vs. Prometheus

System Properties Comparison FatDB vs. Hawkular Metrics vs. KeyDB vs. OpenEdge vs. Prometheus

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonKeyDB  Xexclude from comparisonOpenEdge  Xexclude from comparisonPrometheus  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsApplication development environment with integrated database management systemOpen-source Time Series DBMS and monitoring system
Primary database modelDocument store
Key-value store
Time Series DBMSKey-value storeRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#380  Overall
#40  Time Series DBMS
Score0.67
Rank#223  Overall
#31  Key-value stores
Score3.56
Rank#78  Overall
#42  Relational DBMS
Score6.92
Rank#50  Overall
#3  Time Series DBMS
Websitewww.hawkular.orggithub.com/­Snapchat/­KeyDB
keydb.dev
www.progress.com/­openedgeprometheus.io
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.keydb.devdocumentation.progress.com/­output/­ua/­OpenEdge_latestprometheus.io/­docs
DeveloperFatCloudCommunity supported by Red HatEQ Alpha Technology Ltd.Progress Software Corporation
Initial release20122014201919842015
Current releaseOpenEdge 12.2, March 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoBSD-3commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#JavaC++Go
Server operating systemsWindowsLinux
OS X
Windows
LinuxAIX
HP-UX
Linux
Solaris
Windows
Linux
Windows
Data schemeschema-freeschema-freeschema-freeyesyes
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 indexesyesNumeric 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.nonoyesno infoImport of XML data possible
Secondary indexesyesnoyes infoby using the Redis Search moduleyesno
SQL infoSupport of SQLno infoVia inetgration in SQL Servernonoyes infoclose to SQL 92no
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
HTTP RESTProprietary protocol infoRESP - REdis Serialization ProtocoJDBC
ODBC
RESTful HTTP/JSON API
Supported programming languagesC#Go
Java
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
Progress proprietary ABL (Advanced Business Language).Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyes infovia applicationsnoLuayesno
Triggersyes infovia applicationsyes infovia Hawkular Alertingnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraShardinghorizontal partitioning infosince Version 11.4Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
Source-replica replicationyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistencynone
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoOptimistic locking, atomic execution of commands blocks and scriptsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes 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.noyesnono
User concepts infoAccess controlno infoCan implement custom security layer via applicationsnosimple password-based access control and ACLUsers and groupsno

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More resources
FatDBHawkular MetricsKeyDBOpenEdgePrometheus
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