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DBMS > Badger vs. Drizzle vs. H2 vs. Prometheus

System Properties Comparison Badger vs. Drizzle vs. H2 vs. Prometheus

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDrizzle  Xexclude from comparisonH2  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.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Open-source Time Series DBMS and monitoring system
Primary database modelKey-value storeRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerwww.h2database.comprometheus.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.h2database.com/­html/­main.htmlprometheus.io/­docs
DeveloperDGraph LabsDrizzle project, originally started by Brian AkerThomas Mueller
Initial release2017200820052015
Current release7.2.4, September 20122.2.220, July 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGNU GPLOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++JavaGo
Server operating systemsBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
All OS with a Java VMLinux
Windows
Data schemeschema-freeyesyesyes
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.nonono infoImport of XML data possible
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoyes infowith proprietary extensionsyesno
APIs and other access methodsJDBCJDBC
ODBC
RESTful HTTP/JSON API
Supported programming languagesGoC
C++
Java
PHP
Java.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnonoJava Stored Procedures and User-Defined Functionsno
Triggersnono infohooks for callbacks inside the server can be used.yesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
With clustering: 2 database servers on different computers operate on identical copies of a databaseyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistencynone
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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, HTTPfine grained access rights according to SQL-standardno

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More resources
BadgerDrizzleH2Prometheus
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