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DBMS > Databend vs. Kinetica vs. NSDb vs. QuestDB vs. TimesTen

System Properties Comparison Databend vs. Kinetica vs. NSDb vs. QuestDB vs. TimesTen

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonKinetica  Xexclude from comparisonNSDb  Xexclude from comparisonQuestDB  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityFully vectorized database across both GPUs and CPUsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA high performance open source SQL database for time series dataIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSRelational DBMSTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.kinetica.comnsdb.ioquestdb.iowww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.databend.comdocs.kinetica.comnsdb.io/­Architecturequestdb.io/­docsdocs.oracle.com/­database/­timesten-18.1
DeveloperDatabend LabsKineticaQuestDB Technology IncOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20212012201720141998
Current release1.0.59, April 20237.1, August 202111 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 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 languageRustC, C++Java, ScalaJava (Zero-GC), C++, Rust
Server operating systemshosted
Linux
macOS
LinuxLinux
macOS
Linux
macOS
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyesyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyesyes
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.nonononono
Secondary indexesnoyesall fields are automatically indexednoyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsSQL-like query languageSQL with time-series extensionsyes
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
gRPC
HTTP REST
WebSocket
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C++
Java
JavaScript (Node.js)
Python
Java
Scala
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnouser defined functionsnonoPL/SQL
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardinghorizontal partitioning (by timestamps)none
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationSource-replica replication with eventual consistencyMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonoACID for single-table writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyesyes infoby means of logfiles and checkpoints
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 filesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesAccess rights for users and roles on table levelfine grained access rights according to SQL-standard
More information provided by the system vendor
DatabendKineticaNSDbQuestDBTimesTen
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
DatabendKineticaNSDbQuestDBTimesTen
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