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

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

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonRiak KV  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 complexityDistributed, fault tolerant key-value storeSpark 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 DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMSKey-value storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitegithub.com/­datafuselabs/­databend
www.databend.com
spark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4tempoiq.com (offline)
Technical documentationdocs.databend.comwww.tiot.jp/­riak-docs/­riak/­kv/­latestspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDatabend LabsOpenSource, formerly Basho TechnologiesApache Software FoundationSTS Soft SCTempoIQ
Initial release20212009201420112012
Current release1.0.59, April 20233.2.0, December 20223.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache version 2, commercial enterprise editionOpen Source infoApache 2.0Open Source infoGPLv2, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustErlangScalaC#
Server operating systemshosted
Linux
macOS
Linux
OS X
Linux
OS X
Windows
Windows
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyes 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.nononono
Secondary indexesnorestrictednono
SQL infoSupport of SQLyesnoSQL-like DML and DDL statementsnono
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
HTTP API
Native Erlang Interface
JDBC
ODBC
.NET Client APIHTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Java
Python
R
Scala
C#
Java
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresnoErlangnonono
Triggersnoyes infopre-commit hooks and post-commit hooksnonoyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infono "single point of failure"yes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factornonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynono infolinks between data sets can be storednonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnononono
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.nono
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesyes, using Riak Securitynonosimple authentication-based access control

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More resources
DatabendRiak KVSpark SQLSTSdbTempoIQ infoformerly TempoDB
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