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DBMS > Kinetica vs. QuestDB vs. Sequoiadb vs. VoltDB

System Properties Comparison Kinetica vs. QuestDB vs. Sequoiadb vs. VoltDB

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonQuestDB  Xexclude from comparisonSequoiadb  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsA high performance open source SQL database for time series dataNewSQL database with distributed OLTP and SQLDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelRelational DBMSTime Series DBMSDocument store
Relational DBMS
Relational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websitewww.kinetica.comquestdb.iowww.sequoiadb.comwww.voltdb.com
Technical documentationdocs.kinetica.comquestdb.io/­docswww.sequoiadb.com/­en/­index.php?m=Files&a=indexdocs.voltdb.com
DeveloperKineticaQuestDB Technology IncSequoiadb Ltd.VoltDB Inc.
Initial release2012201420132010
Current release7.1, August 202111.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoServer: AGPL; Client: Apache V2Open Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
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 languageC, C++Java (Zero-GC), C++, RustC++Java, C++
Server operating systemsLinuxLinux
macOS
Windows
LinuxLinux
OS X infofor development
Data schemeyesyes infoschema-free via InfluxDB Line Protocolschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infooid, date, timestamp, binary, regexyes
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.nonono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL with time-series extensionsSQL-like query languageyes infoonly a subset of SQL 99
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
proprietary protocol using JSONJava API
JDBC
RESTful HTTP/JSON API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
.Net
C++
Java
PHP
Python
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsnoJavaScriptJava
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenonono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by timestamps)ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication with eventual consistencySource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID for single-table writesDocument is locked during a transactionACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyes infothrough memory mapped filesno
User concepts infoAccess controlAccess rights for users and roles on table levelsimple password-based access controlUsers and roles with access to stored procedures
More information provided by the system vendor
KineticaQuestDBSequoiadbVoltDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
KineticaQuestDBSequoiadbVoltDB
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