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DBMS > Ignite vs. Microsoft SQL Server vs. SQLite vs. TDengine

System Properties Comparison Ignite vs. Microsoft SQL Server vs. SQLite vs. TDengine

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Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSQLite  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Microsofts flagship relational DBMSWidely used embeddable, in-process RDBMSTime Series DBMS and big data platform
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score111.41
Rank#10  Overall
#7  Relational DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websiteignite.apache.orgwww.microsoft.com/­en-us/­sql-serverwww.sqlite.orggithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationapacheignite.readme.io/­docslearn.microsoft.com/­en-US/­sql/­sql-serverwww.sqlite.org/­docs.htmldocs.tdengine.com
DeveloperApache Software FoundationMicrosoftDwayne Richard HippTDEngine, previously Taos Data
Initial release2015198920002019
Current releaseApache Ignite 2.6SQL Server 2022, November 20223.46.0  (23 May 2024), May 20243.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial inforestricted free version is availableOpen 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.
SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageC++, Java, .NetC++CC
Server operating systemsLinux
OS X
Solaris
Windows
Linux
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.yesyesnono
Secondary indexesyesyesyesno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyesyes infoSQL-92 is not fully supportedStandard SQL with extensions for time-series applications
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
JDBC
RESTful HTTP API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
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 (compute grid and cache interceptors can be used instead)Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Javanono
Triggersyes (cache interceptors and events)yesyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingtables can be distributed across several files (horizontal partitioning); sharding through federationnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes, but depending on the SQL-Server Editionnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
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.yesyesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardnoyes
More information provided by the system vendor
IgniteMicrosoft SQL ServerSQLiteTDengine
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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