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DBMS > Apache Druid vs. Splice Machine vs. STSdb vs. TDengine

System Properties Comparison Apache Druid vs. Splice Machine vs. STSdb vs. TDengine

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonSplice Machine  Xexclude from comparisonSTSdb  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodTime Series DBMS and big data platform
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSKey-value storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.57
Rank#92  Overall
#48  Relational DBMS
#6  Time Series DBMS
Score0.87
Rank#185  Overall
#89  Relational DBMS
Score0.08
Rank#306  Overall
#45  Key-value stores
Score0.65
Rank#213  Overall
#16  Time Series DBMS
Websitedruid.apache.orgsplicemachine.comgithub.com/­STSSoft/­STSdb4github.com/­taosdata/­TDengine
www.taosdata.com
Technical documentationdruid.apache.org/­docs/­latest/­designdoc.splicemachine.comwww.taosdata.com/­en/­documentation
DeveloperApache Software Foundation and contributorsSplice MachineSTS Soft SCTaos Data
Initial release2012201420112019
Current release0.21.0, April 20213.1, March 20214.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoAGPL 3.0, commercial license availableOpen Source infoGPLv2, commercial license availableOpen Source infoGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC#C
Server operating systemsLinux
OS X
Unix
Linux
OS X
Solaris
Windows
WindowsLinux
Data schemeyes infoschema-less columns are supportedyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infoprimitive types and user defined types (classes)yes
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 indexesyesyesnono
SQL infoSupport of SQLSQL for queryingyesnoSQL-like query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
Native Spark Datasource
ODBC
.NET Client APIJDBC
RESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C#
Java
.Net
C
C++
Go
Java
JavaScript (Node.js)
Lua
Python
Rust
Server-side scripts infoStored proceduresnoyes infoJavanono
Triggersnoyesnoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShared Nothhing Auto-Sharding, Columnar PartitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication
Source-replica replication
noneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users, groups and roles according to SQL-standardnoyes
More information provided by the system vendor
Apache DruidSplice MachineSTSdbTDengine
Specific characteristicsOne of the modules of TDengine is the time-series database. However, in addition...
» more
Competitive advantagesPerformance improvement over 10 times: An innovative data storage structure is defined,...
» more
Typical application scenariosIT Infrastructure, Servers and Applications Monitoring Internet of Cars, Trucks,...
» more
Market metricsFastest growing database With more than 15,500 stars on GitHub
» more
Licensing and pricing modelsOpen Source (AGPL v3) Enterprise / Cloud (https://www.taosdata.com/en/support/)
» more
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More resources
Apache DruidSplice MachineSTSdbTDengine
Recent citations in the news

Imply Introduces Project Shapeshift, the Next Step in the Evolution of the Druid Experience
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"Open Source, Contribution, and Inspiration" -- The 2nd Anniversary of TDengine Open Source Community
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