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DBMS > Apache Druid vs. Drizzle vs. InfluxDB vs. LeanXcale

System Properties Comparison Apache Druid vs. Drizzle vs. InfluxDB vs. LeanXcale

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonDrizzle  Xexclude from comparisonInfluxDB  Xexclude from comparisonLeanXcale  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.DBMS for storing time series, events and metricsA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSTime Series DBMSKey-value store
Relational DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.33
Rank#99  Overall
#51  Relational DBMS
#7  Time Series DBMS
Score26.89
Rank#28  Overall
#1  Time Series DBMS
Score0.33
Rank#287  Overall
#38  Key-value stores
#132  Relational DBMS
Websitedruid.apache.orgwww.influxdata.com/­products/­influxdb-overviewwww.leanxcale.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.influxdata.com/­influxdb
DeveloperApache Software Foundation and contributorsDrizzle project, originally started by Brian AkerLeanXcale
Initial release2012200820132015
Current release29.0.0, February 20247.2.4, September 20122.7.5, January 2024
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoGNU GPLOpen Source infoMIT-License; commercial enterprise version availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Go
Server operating systemsLinux
OS X
Unix
FreeBSD
Linux
OS X
Linux
OS X infothrough Homebrew
Data schemeyes infoschema-less columns are supportedyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesNumeric data and Strings
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 indexesyesyesno
SQL infoSupport of SQLSQL for queryingyes infowith proprietary extensionsSQL-like query languageyes infothrough Apache Derby
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBCHTTP API
JSON over UDP
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C++
Java
PHP
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
Java
Scala
Server-side scripts infoStored proceduresnonono
Triggersnono infohooks for callbacks inside the server can be used.no
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingSharding infoin enterprise version only
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication
Source-replica replication
selectable replication factor infoin enterprise version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
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
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoDepending on used storage engineyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemPluggable authentication mechanisms infoe.g. LDAP, HTTPsimple rights management via user accounts
More information provided by the system vendor
Apache DruidDrizzleInfluxDBLeanXcale
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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More resources
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