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DBMS > Badger vs. Drizzle vs. Hazelcast vs. Prometheus

System Properties Comparison Badger vs. Drizzle vs. Hazelcast vs. Prometheus

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDrizzle  Xexclude from comparisonHazelcast  Xexclude from comparisonPrometheus  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A widely adopted in-memory data gridOpen-source Time Series DBMS and monitoring system
Primary database modelKey-value storeRelational DBMSKey-value storeTime Series DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score5.46
Rank#61  Overall
#7  Key-value stores
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerhazelcast.comprometheus.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerhazelcast.org/­imdg/­docsprometheus.io/­docs
DeveloperDGraph LabsDrizzle project, originally started by Brian AkerHazelcast
Initial release2017200820082015
Current release7.2.4, September 20125.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGNU GPLOpen Source infoApache Version 2; commercial licenses availableOpen 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 languageGoC++JavaGo
Server operating systemsBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
All OS with a Java VMLinux
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesNumeric 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.noyes infothe object must implement a serialization strategyno infoImport of XML data possible
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoyes infowith proprietary extensionsSQL-like query languageno
APIs and other access methodsJDBCJCache
JPA
Memcached protocol
RESTful HTTP API
RESTful HTTP/JSON API
Supported programming languagesGoC
C++
Java
PHP
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnonoyes infoEvent Listeners, Executor Servicesno
Triggersnono infohooks for callbacks inside the server can be used.yes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
yes infoReplicated Mapyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithmnone
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDone or two-phase-commit; repeatable reads; read commitedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPRole-based access controlno

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BadgerDrizzleHazelcastPrometheus
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