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DBMS > Apache Druid vs. BigObject vs. IRONdb vs. STSdb vs. VictoriaMetrics

System Properties Comparison Apache Druid vs. BigObject vs. IRONdb vs. STSdb vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBigObject  Xexclude from comparisonIRONdb  Xexclude from comparisonSTSdb  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAnalytic DBMS for real-time computations and queriesA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMS infoa hierachical model (tree) can be imposedTime Series DBMSKey-value 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
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitedruid.apache.orgbigobject.iowww.circonus.com/solutions/time-series-database/github.com/­STSSoft/­STSdb4victoriametrics.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.bigobject.iodocs.circonus.com/irondb/category/getting-starteddocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperApache Software Foundation and contributorsBigObject, Inc.Circonus LLC.STS Soft SCVictoriaMetrics
Initial release20122015201720112018
Current release29.0.1, April 2024V0.10.20, January 20184.0.8, September 2015v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infofree community edition availablecommercialOpen Source infoGPLv2, commercial license availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++C#Go
Server operating systemsLinux
OS X
Unix
Linux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
LinuxWindowsFreeBSD
Linux
macOS
OpenBSD
Data schemeyes infoschema-less columns are supportedyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsyes infoprimitive types and user defined types (classes)
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
Secondary indexesyesyesnono
SQL infoSupport of SQLSQL for queryingSQL-like DML and DDL statementsSQL-like query language (Circonus Analytics Query Language: CAQL)nono
APIs and other access methodsJDBC
RESTful HTTP/JSON API
fluentd
ODBC
RESTful HTTP API
HTTP API.NET Client APIGraphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C#
Java
Server-side scripts infoStored proceduresnoLuayes, in Luanono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneAutomatic, metric affinity per nodenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneconfigurable replication factor, datacenter awarenoneSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate consistency per node, eventual consistency across nodesEventual Consistency
Foreign keys infoReferential integritynoyes infoautomatically between fact table and dimension tablesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononono
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyesyes
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.noyesnono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnonono

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More resources
Apache DruidBigObjectIRONdbSTSdbVictoriaMetrics
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