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DBMS > Brytlyt vs. Kinetica vs. LMDB vs. Microsoft SQL Server vs. Typesense

System Properties Comparison Brytlyt vs. Kinetica vs. LMDB vs. Microsoft SQL Server vs. Typesense

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonKinetica  Xexclude from comparisonLMDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonTypesense  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLFully vectorized database across both GPUs and CPUsA high performant, light-weight, embedded key-value database libraryMicrosofts flagship relational DBMSA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMSSearch engine
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score1.99
Rank#125  Overall
#21  Key-value stores
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score0.79
Rank#210  Overall
#14  Search engines
Websitebrytlyt.iowww.kinetica.comwww.symas.com/­symas-embedded-database-lmdbwww.microsoft.com/­en-us/­sql-servertypesense.org
Technical documentationdocs.brytlyt.iodocs.kinetica.comwww.lmdb.tech/­doclearn.microsoft.com/­en-US/­sql/­sql-servertypesense.org/­docs
DeveloperBrytlytKineticaSymasMicrosoft
Initial release20162012201119892015
Current release5.0, August 20237.1, August 20210.9.32, January 2024SQL Server 2022, November 2022
License infoCommercial or Open SourcecommercialcommercialOpen Sourcecommercial inforestricted free version is availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonononono
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, C++ and CUDAC, C++CC++C++
Server operating systemsLinux
OS X
Windows
LinuxLinux
Unix
Windows
Linux
Windows
Linux
Data schemeyesyesschema-freeyesschema-free infopre-defined schema optional
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.yes infospecific XML-type available, but no XML query functionality.nonoyes
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsnoyesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
RESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLuser defined functionsnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonetables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationnoneyes, but depending on the SQL-Server EditionMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles on table levelnofine grained access rights according to SQL-standard

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More resources
BrytlytKineticaLMDBMicrosoft SQL ServerTypesense
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