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DBMS > Apache IoTDB vs. Kdb vs. NSDb vs. searchxml

System Properties Comparison Apache IoTDB vs. Kdb vs. NSDb vs. searchxml

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonKdb  Xexclude from comparisonNSDb  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkHigh performance Time Series DBMSScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesDBMS for structured and unstructured content wrapped with an application server
Primary database modelTime Series DBMSTime Series DBMS
Vector DBMS
Time Series DBMSNative XML DBMS
Search engine
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Websiteiotdb.apache.orgkx.comnsdb.iowww.searchxml.net/­category/­products
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlcode.kx.comnsdb.io/­Architecturewww.searchxml.net/­support/­handouts
DeveloperApache Software FoundationKx Systems, a division of First Derivatives plcinformationpartners gmbh
Initial release20182000 infokdb was released 2000, kdb+ in 200320172015
Current release1.1.0, April 20233.6, May 20181.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree 32-bit versionOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaqJava, ScalaC++
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeyesyesschema-free
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.noyesnoyes
Secondary indexesyesyes infotable attribute 'grouped'all fields are automatically indexedyes
SQL infoSupport of SQLSQL-like query languageSQL-like query language (q)SQL-like query languageno
APIs and other access methodsJDBC
Native API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
gRPC
HTTP REST
WebSocket
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Java
Scala
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresyesuser defined functionsnoyes infoon the application server
Triggersyesyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)horizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasSource-replica replicationyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkno infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononomultiple readers, single writer
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.yesyesno
User concepts infoAccess controlyesrights management via user accountsDomain, group and role-based access control at the document level and for application services
More information provided by the system vendor
Apache IoTDBKdbNSDbsearchxml
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
Apache IoTDBKdbNSDbsearchxml
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