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DBMS > Databend vs. Riak KV vs. SQream DB

System Properties Comparison Databend vs. Riak KV vs. SQream DB

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonRiak KV  Xexclude from comparisonSQream DB  Xexclude from comparison
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 storea GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational 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
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
sqream.com
Technical documentationdocs.databend.comwww.tiot.jp/­riak-docs/­riak/­kv/­latestdocs.sqream.com
DeveloperDatabend LabsOpenSource, formerly Basho TechnologiesSQream Technologies
Initial release202120092017
Current release1.0.59, April 20233.2.0, December 20222022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache version 2, commercial enterprise editioncommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustErlangC++, CUDA, Haskell, Java, Scala
Server operating systemshosted
Linux
macOS
Linux
OS X
Linux
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes, ANSI Standard SQL Types
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.nono
Secondary indexesnorestrictedno
SQL infoSupport of SQLyesnoyes
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
HTTP API
Native Erlang Interface
.Net
JDBC
ODBC
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
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoErlanguser defined functions in Python
Triggersnoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infono "single point of failure"horizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesyes, using Riak Security

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More resources
DatabendRiak KVSQream DB
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