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DBMS > Apache Druid vs. Apache Pinot vs. InfluxDB vs. Titan

System Properties Comparison Apache Druid vs. Apache Pinot vs. InfluxDB vs. Titan

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonApache Pinot  Xexclude from comparisonInfluxDB  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyDBMS for storing time series, events and metricsTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSTime Series DBMSGraph DBMS
Secondary database modelsSpatial DBMS infowith GEO package
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
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Websitedruid.apache.orgpinot.apache.orgwww.influxdata.com/­products/­influxdb-overviewgithub.com/­thinkaurelius/­titan
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.pinot.apache.orgdocs.influxdata.com/­influxdbgithub.com/­thinkaurelius/­titan/­wiki
DeveloperApache Software Foundation and contributorsApache Software Foundation and contributorsAurelius, owned by DataStax
Initial release2012201520132012
Current release29.0.1, April 20241.0.0, September 20232.7.6, April 2024
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2.0Open Source infoMIT-License; commercial enterprise version availableOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaGoJava
Server operating systemsLinux
OS X
Unix
All OS with a Java JDK11 or higherLinux
OS X infothrough Homebrew
Linux
OS X
Unix
Windows
Data schemeyes infoschema-less columns are supportedyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesNumeric data and Stringsyes
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 indexesyesnoyes
SQL infoSupport of SQLSQL for queryingSQL-like query languageSQL-like query languageno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBCHTTP API
JSON over UDP
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
Java
Python
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Clojure
Java
Python
Server-side scripts infoStored proceduresnonoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedhorizontal partitioningSharding infoin enterprise version onlyyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factor infoin enterprise version onlyyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoDepending on used storage engine
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemsimple rights management via user accountsUser authentification and security via Rexster Graph Server
More information provided by the system vendor
Apache DruidApache PinotInfluxDBTitan
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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