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DBMS > Kdb vs. Spark SQL vs. TiDB

System Properties Comparison Kdb vs. Spark SQL vs. TiDB

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Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonSpark SQL  Xexclude from comparisonTiDB  Xexclude from comparison
DescriptionHigh performance Time Series DBMSSpark SQL is a component on top of 'Spark Core' for structured data processingTiDB is an open source distributed SQL database that supports Hybrid Transactional/Analytical Processing (HTAP) workloads. It is MySQL compatible and features horizontal scalability, strong consistency, and high availability.
Primary database modelTime Series DBMS
Vector DBMS
Relational DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.70
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Score4.94
Rank#72  Overall
#40  Relational DBMS
Websitekx.comspark.apache.org/­sqlpingcap.com
Technical documentationcode.kx.comspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.pingcap.com/­tidb/­stable
DeveloperKx Systems, a division of First Derivatives plcApache Software FoundationPingCAP, Inc.
Initial release2000 infokdb was released 2000, kdb+ in 200320142016
Current release3.6, May 20183.5.0 ( 2.13), September 20237.6.0, January 2024
License infoCommercial or Open Sourcecommercial infofree 32-bit versionOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
TiDB Cloud: Fully-managed TiDB Service. Bring everything great about TiDB to the cloud.
Implementation languageqScalaGo, Rust
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesnono
Secondary indexesyes infotable attribute 'grouped'noyes
SQL infoSupport of SQLSQL-like query language (q)SQL-like DML and DDL statementsyes
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
ODBC
GORM
JDBC
ODBC
Proprietary protocol
SQLAlchemy
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Java
Python
R
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functionsnono
Triggersyes infowith viewsnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyes, utilizing Spark Corehorizontal partitioning (by key range)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingyes infowith TiSpark Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes infofull support since version 6.6
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlrights management via user accountsnoFine grained access rights according to SQL-standard
More information provided by the system vendor
KdbSpark SQLTiDB
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
TiDB is an advanced open-source, distributed SQL database for modern application...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
- HORIZONTAL SCALING : TiDB grants total transparency into your data workloads without...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
TiDB is ideal for transactional applications that require extreme scalability and...
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Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Block, Pinterest, Catalyst, Bolt, Flipkart, Capcom, Shopee (E-commerce), JD Cloud...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
34K+ GitHub stars 5K+ members in TiDB Community Slack 1K+ community contributors...
» more
Licensing and pricing modelsupon request
» more
TiDB Community : Free open source software (Apache 2.0) TiDB Self-Hosted : Enterprise...
» more

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KdbSpark SQLTiDB
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