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DBMS > Amazon Aurora vs. Kdb vs. LMDB vs. MaxDB vs. Typesense

System Properties Comparison Amazon Aurora vs. Kdb vs. LMDB vs. MaxDB vs. Typesense

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonKdb  Xexclude from comparisonLMDB  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonTypesense  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonHigh performance Time Series DBMSA high performant, light-weight, embedded key-value database libraryA robust and reliable RDBMS optimized to run all major SAP solutionsA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelRelational DBMSTime Series DBMS
Vector DBMS
Key-value storeRelational DBMSSearch engine
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.84
Rank#44  Overall
#28  Relational DBMS
Score7.73
Rank#45  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score1.94
Rank#120  Overall
#20  Key-value stores
Score2.15
Rank#115  Overall
#55  Relational DBMS
Score0.80
Rank#209  Overall
#14  Search engines
Websiteaws.amazon.com/­rds/­aurorakx.comwww.symas.com/­symas-embedded-database-lmdbmaxdb.sap.comtypesense.org
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlcode.kx.comwww.lmdb.tech/­docmaxdb.sap.com/­documentationtypesense.org/­docs
DeveloperAmazonKx Systems, a division of First Derivatives plcSymasSAP, acquired from Software AG (Adabas-D) in 1997
Initial release20152000 infokdb was released 2000, kdb+ in 2003201119842015
Current release3.6, May 20180.9.32, January 20247.9.10.12, February 2024
License infoCommercial or Open Sourcecommercialcommercial infofree 32-bit versionOpen Sourcecommercial infoLimited community edition freeOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageqCC++C++
Server operating systemshostedLinux
OS X
Solaris
Windows
Linux
Unix
Windows
AIX
HP-UX
Linux
Solaris
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.yesyesnono
Secondary indexesyesyes infotable attribute 'grouped'noyesyes
SQL infoSupport of SQLyesSQL-like query language (q)noyesno
APIs and other access methodsADO.NET
JDBC
ODBC
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
ADO.NET
JDBC
ODBC
WebDAV
RESTful HTTP API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.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
.Net
C#
Java
Perl
PHP
Python
.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 proceduresyesuser defined functionsnoyesno
Triggersyesyes infowith viewsnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationnoneSource-replica replicationMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate 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.yesyesyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardrights management via user accountsnofine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon AuroraKdbLMDBMaxDB infoformerly named Adabas-DTypesense
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
Amazon AuroraKdbLMDBMaxDB infoformerly named Adabas-DTypesense
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