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DBMS > Kdb vs. RethinkDB vs. Teradata vs. Tigris

System Properties Comparison Kdb vs. RethinkDB vs. Teradata vs. Tigris

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Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonRethinkDB  Xexclude from comparisonTeradata  Xexclude from comparisonTigris  Xexclude from comparison
DescriptionHigh performance Time Series DBMSDBMS for the Web with a mechanism to push updated query results to applications in realtime.A hybrid cloud data analytics software platform (Teradata Vantage)A horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelTime Series DBMS
Vector DBMS
Document storeRelational DBMSDocument store
Key-value store
Search engine
Time Series DBMS
Secondary database modelsRelational DBMSSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score2.66
Rank#107  Overall
#20  Document stores
Score44.87
Rank#22  Overall
#15  Relational DBMS
Score0.09
Rank#363  Overall
#49  Document stores
#54  Key-value stores
#22  Search engines
#38  Time Series DBMS
Websitekx.comrethinkdb.comwww.teradata.comwww.tigrisdata.com
Technical documentationcode.kx.comrethinkdb.com/­docsdocs.teradata.comwww.tigrisdata.com/­docs
DeveloperKx Systems, a division of First Derivatives plcThe Linux Foundation infosince July 2017TeradataTigris Data, Inc.
Initial release2000 infokdb was released 2000, kdb+ in 2003200919842022
Current release3.6, May 20182.4.1, August 2020Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercial infofree 32-bit versionOpen Source infoApache Version 2commercialOpen Source infoApache Version 2.0
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.
Implementation languageqC++
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X
Windows
hosted
Linux
Linux
macOS
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infostring, binary, float, bool, date, geometryyesyes
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.yesnoyesno
Secondary indexesyes infotable attribute 'grouped'yesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLSQL-like query language (q)noyes infoSQL 2016 + extensionsno
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
CLI Client
gRPC
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresuser defined functionsyes infoUDFs, stored procedures, table functions in parallelno
Triggersyes infowith viewsClient-side triggers through changefeedsyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding inforange basedSharding infoHashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-document operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCC basedyesyes
Durability infoSupport for making data persistentyesyesyesyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlrights management via user accountsyes infousers and table-level permissionsfine grained access rights according to SQL-standardAccess rights for users and roles
More information provided by the system vendor
KdbRethinkDBTeradataTigris
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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KdbRethinkDBTeradataTigris
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