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DBMS > Apache Druid vs. Linter vs. Prometheus vs. SwayDB

System Properties Comparison Apache Druid vs. Linter vs. Prometheus vs. SwayDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonLinter  Xexclude from comparisonPrometheus  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataRDBMS for high security requirementsOpen-source Time Series DBMS and monitoring systemAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSTime Series DBMSKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.29
Rank#95  Overall
#49  Relational DBMS
#7  Time Series DBMS
Score0.10
Rank#350  Overall
#153  Relational DBMS
Score7.92
Rank#51  Overall
#2  Time Series DBMS
Score0.04
Rank#373  Overall
#57  Key-value stores
Websitedruid.apache.orglinter.ruprometheus.ioswaydb.simer.au
Technical documentationdruid.apache.org/­docs/­latest/­designprometheus.io/­docs
DeveloperApache Software Foundation and contributorsrelex.ruSimer Plaha
Initial release2012199020152018
Current release29.0.1, April 2024
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoApache 2.0Open Source infoGNU Affero GPL V3.0
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 languageJavaC and C++GoScala
Server operating systemsLinux
OS X
Unix
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
Windows
Data schemeyes infoschema-less columns are supportedyesyesschema-free
Typing infopredefined data types such as float or dateyesyesNumeric data onlyno
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 possibleno
Secondary indexesyesyesnono
SQL infoSupport of SQLSQL for queryingyesnono
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
RESTful HTTP/JSON API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnoyes infoproprietary syntax with the possibility to convert from PL/SQLnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationyes infoby Federationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoAtomic execution of operations
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.nonoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardnono

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More resources
Apache DruidLinterPrometheusSwayDB
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