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DBMS > CockroachDB vs. Spark SQL vs. TDengine vs. TempoIQ

System Properties Comparison CockroachDB vs. Spark SQL vs. TDengine vs. TempoIQ

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Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTDengine  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionCockroachDB 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.Spark SQL is a component on top of 'Spark Core' for structured data processingTime Series DBMS and big data platformScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelRelational DBMSRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitewww.cockroachlabs.comspark.apache.org/­sqlgithub.com/­taosdata/­TDengine
tdengine.com
tempoiq.com (offline)
Technical documentationwww.cockroachlabs.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.tdengine.com
DeveloperCockroach LabsApache Software FoundationTDEngine, previously Taos DataTempoIQ
Initial release2015201420192012
Current release23.1.1, May 20233.5.0 ( 2.13), September 20233.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availableOpen Source infoApache 2.0Open Source infoGPL V3, also commercial editions availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoScalaC
Server operating systemsLinux
macOS
Windows
Linux
OS X
Windows
Linux
Windows
Data schemedynamic schemayesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesnono
SQL infoSupport of SQLyes, wire compatible with PostgreSQLSQL-like DML and DDL statementsStandard SQL with extensions for time-series applicationsno
APIs and other access methodsJDBCJDBC
ODBC
JDBC
RESTful HTTP API
HTTP API
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Java
Python
R
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresnononono
Triggersnonoyes, via alarm monitoringyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodeshorizontal 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 RAFTyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlRole-based access controlnoyessimple authentication-based access control
More information provided by the system vendor
CockroachDBSpark SQLTDengineTempoIQ infoformerly TempoDB
Specific characteristicsTDengineā„¢ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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