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DBMS > Databend vs. Kinetica vs. NSDb vs. Transwarp ArgoDB

System Properties Comparison Databend vs. Kinetica vs. NSDb vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonKinetica  Xexclude from comparisonNSDb  Xexclude from comparisonTranswarp ArgoDB  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 KubernetesDistributed Analytical Database to replace Hadoop+MPP hybrid architecture
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.12
Rank#348  Overall
#151  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.kinetica.comnsdb.iowww.transwarp.cn/­en/­product/­argodb
Technical documentationdocs.databend.comdocs.kinetica.comnsdb.io/­Architecturedocs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
DeveloperDatabend LabsKineticaTranswarp
Initial release202120122017
Current release1.0.59, April 20237.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0commercial
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 languageRustC, C++Java, Scala
Server operating systemshosted
Linux
macOS
LinuxLinux
macOS
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyes
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 indexesnoyesall fields are automatically indexedyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsSQL-like query languageyes
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
gRPC
HTTP REST
WebSocket
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C++
Java
JavaScript (Node.js)
Python
Java
Scala
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAM
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesAccess rights for users and roles on table level

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More resources
DatabendKineticaNSDbTranswarp ArgoDB
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