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DBMS > SAP SQL Anywhere vs. Spark SQL vs. SQLite vs. TDengine

System Properties Comparison SAP SQL Anywhere vs. Spark SQL vs. SQLite vs. TDengine

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Editorial information provided by DB-Engines
NameSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSpark SQL  Xexclude from comparisonSQLite  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsSpark SQL is a component on top of 'Spark Core' for structured data processingWidely used embeddable, in-process RDBMSTime Series DBMS and big data platform
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.95
Rank#80  Overall
#42  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score111.41
Rank#10  Overall
#7  Relational DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitewww.sap.com/­products/­technology-platform/­sql-anywhere.htmlspark.apache.org/­sqlwww.sqlite.orggithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationhelp.sap.com/­docs/­SAP_SQL_Anywherespark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.sqlite.org/­docs.htmldocs.tdengine.com
DeveloperSAP infoformerly SybaseApache Software FoundationDwayne Richard HippTDEngine, previously Taos Data
Initial release1992201420002019
Current release17, July 20153.5.0 ( 2.13), September 20233.46.0  (23 May 2024), May 20243.0, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoPublic DomainOpen Source infoAGPL V3, also commercial editions available
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 languageScalaCC
Server operating systemsAIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
server-lessLinux
Windows
Data schemeyesyesyes infodynamic column typesyes
Typing infopredefined data types such as float or dateyesyesyes infonot rigid because of 'dynamic typing' concept.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.yesnonono
Secondary indexesyesnoyesno
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyes infoSQL-92 is not fully supportedStandard SQL with extensions for time-series applications
APIs and other access methodsADO.NET
HTTP API
JDBC
ODBC
JDBC
ODBC
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
JDBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
Python
R
Scala
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresyes, in C/C++, Java, .Net or Perlnonono
Triggersyesnoyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark CorenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoDatabase mirroringnonenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infovia file-system locksyes
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.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnonoyes
More information provided by the system vendor
SAP SQL Anywhere infoformerly called Adaptive Server AnywhereSpark SQLSQLiteTDengine
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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More resources
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