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DBMS > Apache Druid vs. PostGIS vs. TDengine vs. Warp 10

System Properties Comparison Apache Druid vs. PostGIS vs. TDengine vs. Warp 10

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonPostGIS  Xexclude from comparisonTDengine  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataSpatial extension of PostgreSQLTime Series DBMS and big data platformTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMS
Time Series DBMS
Spatial DBMSTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMSRelational 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
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitedruid.apache.orgpostgis.netgithub.com/­taosdata/­TDengine
tdengine.com
www.warp10.io
Technical documentationdruid.apache.org/­docs/­latest/­designpostgis.net/­documentationdocs.tdengine.comwww.warp10.io/­content/­02_Getting_started
DeveloperApache Software Foundation and contributorsTDEngine, previously Taos DataSenX
Initial release2012200520192015
Current release29.0.1, April 20243.4.2, February 20243.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoGPL v2.0Open Source infoAGPL V3, also commercial editions availableOpen Source infoApache License 2.0
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 languageJavaCCJava
Server operating systemsLinux
OS X
Unix
Linux
Windows
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesnono
Secondary indexesyesyesnono
SQL infoSupport of SQLSQL for queryingyesStandard SQL with extensions for time-series applicationsno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
RESTful HTTP API
HTTP API
Jupyter
WebSocket
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnouser defined functionsnoyes infoWarpScript
Triggersnoyesyes, via alarm monitoringno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedyes infobased on PostgreSQLShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes infobased on PostgreSQLyesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
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.nonoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemyes infobased on PostgreSQLyesMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
Apache DruidPostGISTDengineWarp 10
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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