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DBMS > Databend vs. HBase vs. Kinetica vs. NSDb

System Properties Comparison Databend vs. HBase vs. Kinetica vs. NSDb

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonHBase  Xexclude from comparisonKinetica  Xexclude from comparisonNSDb  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 complexityWide-column store based on Apache Hadoop and on concepts of BigTableFully vectorized database across both GPUs and CPUsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelRelational DBMSWide column storeRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
hbase.apache.orgwww.kinetica.comnsdb.io
Technical documentationdocs.databend.comhbase.apache.org/­book.htmldocs.kinetica.comnsdb.io/­Architecture
DeveloperDatabend LabsApache Software Foundation infoApache top-level project, originally developed by PowersetKinetica
Initial release2021200820122017
Current release1.0.59, April 20232.3.4, January 20217.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache version 2commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustJavaC, C++Java, Scala
Server operating systemshosted
Linux
macOS
Linux
Unix
Windows infousing Cygwin
LinuxLinux
macOS
Data schemeyesschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesyes: int, bigint, decimal, string
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.nononono
Secondary indexesnonoyesall fields are automatically indexed
SQL infoSupport of SQLyesnoSQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
JDBC
ODBC
RESTful HTTP API
gRPC
HTTP REST
WebSocket
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Java
JavaScript (Node.js)
Python
Java
Scala
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javauser defined functionsno
Triggersnoyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesSingle row ACID (across millions of columns)nono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAM
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users and roles on table level

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More resources
DatabendHBaseKineticaNSDb
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