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DBMS > Apache Druid vs. Immudb vs. Prometheus vs. Quasardb

System Properties Comparison Apache Druid vs. Immudb vs. Prometheus vs. Quasardb

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonImmudb  Xexclude from comparisonPrometheus  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Open-source Time Series DBMS and monitoring systemDistributed, high-performance timeseries database
Primary database modelRelational DBMS
Time Series DBMS
Key-value storeTime Series DBMSTime Series DBMS
Secondary database modelsRelational 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
Score0.24
Rank#305  Overall
#43  Key-value stores
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitedruid.apache.orggithub.com/­codenotary/­immudb
immudb.io
prometheus.ioquasar.ai
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.immudb.ioprometheus.io/­docsdoc.quasar.ai/­master
DeveloperApache Software Foundation and contributorsCodenotaryquasardb
Initial release2012202020152009
Current release29.0.1, April 20241.2.3, April 20223.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2.0Open Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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 languageJavaGoGoC++
Server operating systemsLinux
OS X
Unix
BSD
Linux
macOS
Solaris
Windows
z/OS
Linux
Windows
BSD
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesNumeric data onlyyes infointeger and binary
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 indexesyesyesnoyes infowith tags
SQL infoSupport of SQLSQL for queryingSQL-like syntaxnoSQL-like query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
gRPC protocol
PostgreSQL wire protocol
RESTful HTTP/JSON APIHTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes infoby FederationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes infoTransient mode
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoCryptographically strong user authentication and audit trail

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More resources
Apache DruidImmudbPrometheusQuasardb
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