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DBMS > Apache Druid vs. Badger vs. IBM Cloudant vs. Prometheus vs. SiriDB

System Properties Comparison Apache Druid vs. Badger vs. IBM Cloudant vs. Prometheus vs. SiriDB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBadger  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonPrometheus  Xexclude from comparisonSiriDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Database as a Service offering based on Apache CouchDBOpen-source Time Series DBMS and monitoring systemOpen Source Time Series DBMS
Primary database modelRelational DBMS
Time Series DBMS
Key-value storeDocument storeTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score0.22
Rank#320  Overall
#47  Key-value stores
Score2.75
Rank#104  Overall
#19  Document stores
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Websitedruid.apache.orggithub.com/­dgraph-io/­badgerwww.ibm.com/­products/­cloudantprometheus.iosiridb.com
Technical documentationdruid.apache.org/­docs/­latest/­designgodoc.org/­github.com/­dgraph-io/­badgercloud.ibm.com/­docs/­Cloudantprometheus.io/­docsdocs.siridb.com
DeveloperApache Software Foundation and contributorsDGraph LabsIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Cesbit
Initial release20122017201020152017
Current release29.0.1, April 2024
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0commercialOpen Source infoApache 2.0Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoErlangGoC
Server operating systemsLinux
OS X
Unix
BSD
Linux
OS X
Solaris
Windows
hostedLinux
Windows
Linux
Data schemeyes infoschema-less columns are supportedschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnonoNumeric data onlyyes infoNumeric data
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.nononono infoImport of XML data possibleno
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLSQL for queryingnononono
APIs and other access methodsJDBC
RESTful HTTP/JSON API
RESTful HTTP/JSON APIRESTful HTTP/JSON APIHTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
GoC#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnonoView functions (Map-Reduce) in JavaScriptnono
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneMulti-source replication
Source-replica replication
yes infoby Federationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistencynone
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono infoatomic operations within a document possiblenono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonononoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoAccess rights for users can be defined per databasenosimple rights management via user accounts

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More resources
Apache DruidBadgerIBM CloudantPrometheusSiriDB
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