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DBMS > HBase vs. ReductStore vs. Riak TS vs. SQream DB

System Properties Comparison HBase vs. ReductStore vs. Riak TS vs. SQream DB

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonReductStore  Xexclude from comparisonRiak TS  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KVa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelWide column storeTime Series DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitehbase.apache.orggithub.com/­reductstore
www.reduct.store
sqream.com
Technical documentationhbase.apache.org/­book.htmlwww.reduct.store/­docswww.tiot.jp/­riak-docs/­riak/­ts/­latestdocs.sqream.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetReductStore LLCOpen Source, formerly Basho TechnologiesSQream Technologies
Initial release2008202320152017
Current release2.3.4, January 20211.9, March 20243.0.0, September 20222022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoBusiness Source License 1.1Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++, RustErlangC++, CUDA, Haskell, Java, Scala
Server operating systemsLinux
Unix
Windows infousing Cygwin
Docker
Linux
macOS
Windows
Linux
OS X
Linux
Data schemeschema-free, schema definition possibleschema-freeyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROnoyes, 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 SQLnoyes, limitedyes
APIs and other access methodsJava API
RESTful HTTP API
Thrift
HTTP APIHTTP API
Native Erlang Interface
.Net
JDBC
ODBC
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C++
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 proceduresyes infoCoprocessors in JavaErlanguser defined functions in Python
Triggersyesyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infolinks between datasets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)noACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACno

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More resources
HBaseReductStoreRiak TSSQream DB
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