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DBMS > Kdb vs. Kinetica vs. SwayDB vs. TiDB

System Properties Comparison Kdb vs. Kinetica vs. SwayDB vs. TiDB

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Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonKinetica  Xexclude from comparisonSwayDB  Xexclude from comparisonTiDB  Xexclude from comparison
DescriptionHigh performance Time Series DBMSFully vectorized database across both GPUs and CPUsAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageTiDB 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 DBMSKey-value storeRelational DBMS
Secondary database modelsRelational DBMSSpatial DBMS
Time Series DBMS
Document store
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
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.04
Rank#387  Overall
#61  Key-value stores
Score4.25
Rank#74  Overall
#40  Relational DBMS
Websitekx.comwww.kinetica.comswaydb.simer.aupingcap.com
Technical documentationcode.kx.comdocs.kinetica.comdocs.pingcap.com/­tidb/­stable
DeveloperKx Systems, a division of First Derivatives plcKineticaSimer PlahaPingCAP, Inc.
Initial release2000 infokdb was released 2000, kdb+ in 2003201220182016
Current release3.6, May 20187.1, August 20218.1.0, May 2024
License infoCommercial or Open Sourcecommercial infofree 32-bit versioncommercialOpen Source infoGNU Affero GPL V3.0Open Source infoApache 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.
TiDB Cloud: Fully-managed TiDB Service. Bring everything great about TiDB to the cloud.
Implementation languageqC, C++ScalaGo, Rust
Server operating systemsLinux
OS X
Solaris
Windows
LinuxLinux
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.yesnonono
Secondary indexesyes infotable attribute 'grouped'yesnoyes
SQL infoSupport of SQLSQL-like query language (q)SQL-like DML and DDL statementsnoyes
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
ODBC
RESTful HTTP API
GORM
JDBC
ODBC
Proprietary protocol
SQLAlchemy
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C++
Java
JavaScript (Node.js)
Python
Java
Kotlin
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 functionsuser defined functionsnono
Triggersyes infowith viewsyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnonehorizontal partitioning (by key range)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-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 processingnonoyes infowith TiSpark Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes infofull support since version 6.6
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoAtomic execution of operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMyesno
User concepts infoAccess controlrights management via user accountsAccess rights for users and roles on table levelnoFine grained access rights according to SQL-standard
More information provided by the system vendor
KdbKineticaSwayDBTiDB
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...
» more
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...
» more
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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KdbKineticaSwayDBTiDB
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