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DBMS > Apache IoTDB vs. CockroachDB vs. FatDB vs. Kdb vs. OpenTSDB

System Properties Comparison Apache IoTDB vs. CockroachDB vs. FatDB vs. Kdb vs. OpenTSDB

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonCockroachDB  Xexclude from comparisonFatDB  Xexclude from comparisonKdb  Xexclude from comparisonOpenTSDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
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 FlinkCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.A .NET NoSQL DBMS that can integrate with and extend SQL Server.High performance Time Series DBMSScalable Time Series DBMS based on HBase
Primary database modelTime Series DBMSRelational DBMSDocument store
Key-value store
Time Series DBMS
Vector DBMS
Time Series DBMS
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
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score1.68
Rank#146  Overall
#12  Time Series DBMS
Websiteiotdb.apache.orgwww.cockroachlabs.comkx.comopentsdb.net
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.cockroachlabs.com/­docscode.kx.comopentsdb.net/­docs/­build/­html/­index.html
DeveloperApache Software FoundationCockroach LabsFatCloudKx Systems, a division of First Derivatives plccurrently maintained by Yahoo and other contributors
Initial release2018201520122000 infokdb was released 2000, kdb+ in 20032011
Current release1.1.0, April 202323.1.1, May 20233.6, May 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0, commercial license availablecommercialcommercial infofree 32-bit versionOpen Source infoLGPL
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC#qJava
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
macOS
Windows
WindowsLinux
OS X
Solaris
Windows
Linux
Windows
Data schemeyesdynamic schemaschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesnumeric data for metrics, strings for tags
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.nonoyesno
Secondary indexesyesyesyesyes infotable attribute 'grouped'no
SQL infoSupport of SQLSQL-like query languageyes, wire compatible with PostgreSQLno infoVia inetgration in SQL ServerSQL-like query language (q)no
APIs and other access methodsJDBC
Native API
JDBC.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
HTTP API
Telnet API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C#C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Erlang
Go
Java
Python
R
Ruby
Server-side scripts infoStored proceduresyesnoyes infovia applicationsuser defined functionsno
Triggersyesnoyes infovia applicationsyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)horizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTShardinghorizontal partitioningSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replication using RAFTselectable replication factorSource-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknoyesno infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlyesRole-based access controlno infoCan implement custom security layer via applicationsrights management via user accountsno
More information provided by the system vendor
Apache IoTDBCockroachDBFatDBKdbOpenTSDB
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 IoTDBCockroachDBFatDBKdbOpenTSDB
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