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DBMS > Spark SQL vs. TDengine

System Properties Comparison Spark SQL vs. TDengine

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Editorial information provided by DB-Engines
NameSpark SQL  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionSpark SQL is a component on top of 'Spark Core' for structured data processingTime Series DBMS and big data platform
Primary database modelRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score23.04
Rank#35  Overall
#21  Relational DBMS
Score1.07
Rank#171  Overall
#13  Time Series DBMS
Websitespark.apache.org/­sqlgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.taosdata.com/­en/­documentation
DeveloperApache Software FoundationTaos Data
Initial release20142019
Current release3.3.0, June 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC
Server operating systemsLinux
OS X
Windows
Linux
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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 indexesnono
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsJDBC
ODBC
JDBC
RESTful HTTP API
Supported programming languagesJava
Python
R
Scala
.Net
C
C++
Go
Java
JavaScript (Node.js)
Lua
Python
Rust
Server-side scripts infoStored proceduresnono
Triggersnoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano
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.no
User concepts infoAccess controlnoyes
More information provided by the system vendor
Spark SQLTDengine
Specific characteristicsOne of the modules of TDengine is the time-series database. However, in addition...
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Competitive advantagesPerformance improvement over 10 times: An innovative data storage structure is defined,...
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Typical application scenariosIT Infrastructure, Servers and Applications Monitoring Internet of Cars, Trucks,...
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Market metricsFastest growing database With more than 15,500 stars on GitHub
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Licensing and pricing modelsOpen Source (AGPL v3) Enterprise / Cloud (https://www.taosdata.com/en/support/)
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3rd partiesSQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.
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More resources
Spark SQLTDengine
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