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DBMS > Druid vs. IRONdb

System Properties Comparison Druid vs. IRONdb

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Our visitors often compare Druid and IRONdb with InfluxDB, TimescaleDB and Prometheus.

Editorial information provided by DB-Engines
NameDruid  Xexclude from comparisonIRONdb  Xexclude from comparison
DescriptionOpen-source analytics data store designed for OLAP queries on timeseries dataA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.84
Rank#113  Overall
#57  Relational DBMS
#7  Time Series DBMS
Score0.05
Rank#324  Overall
#28  Time Series DBMS
Websitedruid.iowww.irondb.io
Technical documentationdruid.io/­docs/­latest/­design/­index.htmlwww.irondb.io/­docs
DeveloperMetamarkets Group and contributorsCirconus LLC.
Initial release20122017
Current releaseV0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoApache license v2commercial
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++
Server operating systemsLinux
OS X
Unix
Linux
Data schemeyes infoschema-less columns are supportedschema-free
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histograms
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
Secondary indexesyesno
SQL infoSupport of SQLSQL support via Apache Calcite adapterSQL-like query language (Circonus Analytics Query Language: CAQL)
APIs and other access methodsJSON over HTTPHTTP API
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
Server-side scripts infoStored proceduresnoyes, in Lua
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per node
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesconfigurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlno infoavailable via extensionsno
More information provided by the system vendor
DruidIRONdb
Specific characteristicsIRONdb is a highly available, distributed Time Series Database. It can support dozens...
» more
Competitive advantagesUnmatched Scalability IRONdb is unique among TSDBs in that it does not use a consensus...
» more
Typical application scenariosReal Systems Monitoring Monitor your systems infrastructure in real time across thousands...
» more
Key customersIRONdb serves the needs of the world's largest Time Series Database customers. One...
» more
Market metricsOnly TSDB capable of scaling to billions of metrics. Only TSDB to scale to dozens...
» more
Licensing and pricing modelsIRONdb is licensed under a subscription model based on the number of active metrics...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
DruidIRONdb
Recent citations in the news

Imply launches with $2M to commercialize the Druid open-source data store
19 October 2015, VentureBeat

What's Behind Lyft's Choices in Big Data Tech
10 May 2019, Datanami

Hadoop Creator Yahoo Finds It's Not Enough, Turns to Druid
30 July 2015, ADT Magazine

Yahoo Casts Real-Time OLAP Queries with Druid
4 August 2015, Datanami

Azure HDInsight Brings Next Generation Hadoop 3.0 and Enterprise Security to the Cloud
24 September 2018, HPCwire

provided by Google News

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