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DBMS > Badger vs. Dragonfly vs. Prometheus vs. Snowflake

System Properties Comparison Badger vs. Dragonfly vs. Prometheus vs. Snowflake

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDragonfly  Xexclude from comparisonPrometheus  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceOpen-source Time Series DBMS and monitoring systemCloud-based data warehousing service for structured and semi-structured data
Primary database modelKey-value storeKey-value storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.49
Rank#261  Overall
#38  Key-value stores
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score130.36
Rank#8  Overall
#5  Relational DBMS
Websitegithub.com/­dgraph-io/­badgergithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
prometheus.iowww.snowflake.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.dragonflydb.io/­docsprometheus.io/­docsdocs.snowflake.net/­manuals/­index.html
DeveloperDGraph LabsDragonflyDB team and community contributorsSnowflake Computing Inc.
Initial release2017202320152014
Current release1.0, March 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSL 1.1Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++Go
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxLinux
Windows
hosted
Data schemeschema-freescheme-freeyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or datenostrings, hashes, lists, sets, sorted sets, bit arraysNumeric 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.nonono infoImport of XML data possibleyes
Secondary indexesnonono
SQL infoSupport of SQLnononoyes
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolRESTful HTTP/JSON APICLI Client
JDBC
ODBC
Supported programming languagesGoC
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoLuanouser defined functions
Triggersnopublish/subscribe channels provide some trigger functionalitynono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationyes infoby Federationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of command blocks and scriptsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryesyes
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.noyesnono
User concepts infoAccess controlnoPassword-based authenticationnoUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
BadgerDragonflyPrometheusSnowflake
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