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DBMS > Apache Druid vs. Prometheus vs. Realm vs. Warp 10

System Properties Comparison Apache Druid vs. Prometheus vs. Realm vs. Warp 10

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonPrometheus  Xexclude from comparisonRealm  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataOpen-source Time Series DBMS and monitoring systemA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitedruid.apache.orgprometheus.iorealm.iowww.warp10.io
Technical documentationdruid.apache.org/­docs/­latest/­designprometheus.io/­docsrealm.io/­docswww.warp10.io/­content/­02_Getting_started
DeveloperApache Software Foundation and contributorsRealm, acquired by MongoDB in May 2019SenX
Initial release2012201520142015
Current release29.0.1, April 2024
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0Open SourceOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJava
Server operating systemsLinux
OS X
Unix
Linux
Windows
Android
Backend: server-less
iOS
Windows
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedyesyesschema-free
Typing infopredefined data types such as float or dateyesNumeric data onlyyesyes
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.nono infoImport of XML data possiblenono
Secondary indexesyesnoyesno
SQL infoSupport of SQLSQL for queryingnonono
APIs and other access methodsJDBC
RESTful HTTP/JSON API
RESTful HTTP/JSON APIHTTP API
Jupyter
WebSocket
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresnonono inforuns within the applications so server-side scripts are unnecessaryyes infoWarpScript
Triggersnonoyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes infoby Federationnoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nonoyes infoIn-Memory realmyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoyesMandatory use of cryptographic tokens, containing fine-grained authorizations

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Apache DruidPrometheusRealmWarp 10
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