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DBMS > Databend vs. Spark SQL vs. STSdb vs. TempoIQ

System Properties Comparison Databend vs. Spark SQL vs. STSdb vs. TempoIQ

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexitySpark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelRelational DBMSRelational DBMSKey-value storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitegithub.com/­datafuselabs/­databend
www.databend.com
spark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4tempoiq.com (offline)
Technical documentationdocs.databend.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDatabend LabsApache Software FoundationSTS Soft SCTempoIQ
Initial release2021201420112012
Current release1.0.59, April 20233.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoGPLv2, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustScalaC#
Server operating systemshosted
Linux
macOS
Linux
OS X
Windows
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infoprimitive types and user defined types (classes)yes
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 indexesnonono
SQL infoSupport of SQLyesSQL-like DML and DDL statementsnono
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
JDBC
ODBC
.NET Client APIHTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
Java
Python
R
Scala
C#
Java
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresnononono
Triggersnononoyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonono
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.nono
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesnonosimple authentication-based access control

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More resources
DatabendSpark SQLSTSdbTempoIQ infoformerly TempoDB
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