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DBMS > IBM Db2 warehouse vs. Kinetica vs. LMDB vs. Machbase Neo vs. PostgreSQL

System Properties Comparison IBM Db2 warehouse vs. Kinetica vs. LMDB vs. Machbase Neo vs. PostgreSQL

Editorial information provided by DB-Engines
NameIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonKinetica  Xexclude from comparisonLMDB  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionCloud-based data warehousing serviceFully vectorized database across both GPUs and CPUsA high performant, light-weight, embedded key-value database libraryTimeSeries DBMS for AIoT and BigDataWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelRelational DBMSRelational DBMSKey-value storeTime Series DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score1.99
Rank#125  Overall
#21  Key-value stores
Score0.12
Rank#339  Overall
#30  Time Series DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Websitewww.ibm.com/­products/­db2/­warehousewww.kinetica.comwww.symas.com/­symas-embedded-database-lmdbmachbase.comwww.postgresql.org
Technical documentationdocs.kinetica.comwww.lmdb.tech/­docmachbase.com/­dbmswww.postgresql.org/­docs
DeveloperIBMKineticaSymasMachbasePostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release20142012201120131989 info1989: Postgres, 1996: PostgreSQL
Current release7.1, August 20210.9.32, January 2024V8.0, August 202316.3, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Sourcecommercial infofree test version availableOpen Source infoBSD
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++CCC
Server operating systemshostedLinuxLinux
Unix
Windows
Linux
macOS
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesyesschema-freeyesyes
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.no infoImport/export of XML data possiblenononoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsnoSQL-like query languageyes infostandard with numerous extensions
APIs and other access methods.NET Client API
JDBC
ODBC
OLE DB
JDBC
ODBC
RESTful HTTP API
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJava
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
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#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresPL/SQL, SQL PLuser defined functionsnonouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangenonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneShardingpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnoneselectable replication factorSource-replica replication infoother methods possible by using 3rd party extensions
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 integrityyesyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMyesyes infovolatile and lookup tableno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles on table levelnosimple password-based access controlfine grained access rights according to SQL-standard

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More resources
IBM Db2 warehouse infoformerly named IBM dashDBKineticaLMDBMachbase Neo infoFormer name was InfinifluxPostgreSQL
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