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DBMS > Kdb vs. LMDB vs. ObjectBox vs. Spark SQL vs. Teradata

System Properties Comparison Kdb vs. LMDB vs. ObjectBox vs. Spark SQL vs. Teradata

Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonLMDB  Xexclude from comparisonObjectBox  Xexclude from comparisonSpark SQL  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionHigh performance Time Series DBMSA high performant, light-weight, embedded key-value database libraryExtremely fast embedded database for small devices, IoT and MobileSpark SQL is a component on top of 'Spark Core' for structured data processingA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelTime Series DBMS
Vector DBMS
Key-value storeObject oriented DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSTime Series DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score1.99
Rank#125  Overall
#21  Key-value stores
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitekx.comwww.symas.com/­symas-embedded-database-lmdbobjectbox.iospark.apache.org/­sqlwww.teradata.com
Technical documentationcode.kx.comwww.lmdb.tech/­docdocs.objectbox.iospark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.teradata.com
DeveloperKx Systems, a division of First Derivatives plcSymasObjectBox LimitedApache Software FoundationTeradata
Initial release2000 infokdb was released 2000, kdb+ in 20032011201720141984
Current release3.6, May 20180.9.32, January 20243.5.0 ( 2.13), September 2023Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercial infofree 32-bit versionOpen SourceOpen Source infoApache License 2.0Open Source infoApache 2.0commercial
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.
Implementation languageqCC and C++Scala
Server operating systemsLinux
OS X
Solaris
Windows
Linux
Unix
Windows
Android
iOS
Linux
macOS
Windows
Linux
OS X
Windows
hosted
Linux
Data schemeyesschema-freeyesyesyes
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.yesnononoyes
Secondary indexesyes infotable attribute 'grouped'noyesnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL-like query language (q)nonoSQL-like DML and DDL statementsyes infoSQL 2016 + extensions
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Proprietary native APIJDBC
ODBC
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC
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
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Java
Python
R
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functionsnononoyes infoUDFs, stored procedures, table functions in parallel
Triggersyes infowith viewsnononoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnonenoneyes, utilizing Spark CoreSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneonline/offline synchronization between client and servernoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID
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.yesyesnonoyes
User concepts infoAccess controlrights management via user accountsnoyesnofine grained access rights according to SQL-standard
More information provided by the system vendor
KdbLMDBObjectBoxSpark SQLTeradata
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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