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DBMS > HBase vs. Riak KV vs. Sadas Engine vs. YDB

System Properties Comparison HBase vs. Riak KV vs. Sadas Engine vs. YDB

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonRiak KV  Xexclude from comparisonSadas Engine  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableDistributed, fault tolerant key-value storeSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelWide column storeKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score4.10
Rank#82  Overall
#9  Key-value stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websitehbase.apache.orgwww.sadasengine.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationhbase.apache.org/­book.htmlwww.tiot.jp/­riak-docs/­riak/­kv/­latestwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationydb.tech/­en/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetOpenSource, formerly Basho TechnologiesSADAS s.r.l.Yandex
Initial release2008200920062019
Current release2.3.4, January 20213.2.0, December 20228.0
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache version 2, commercial enterprise editioncommercial infofree trial version availableOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlangC++
Server operating systemsLinux
Unix
Windows infousing Cygwin
Linux
OS X
AIX
Linux
Windows
Linux
Data schemeschema-free, schema definition possibleschema-freeyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROnoyesyes
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 indexesnorestrictedyesyes
SQL infoSupport of SQLnonoyesSQL-like query language (YQL)
APIs and other access methodsJava API
RESTful HTTP API
Thrift
HTTP API
Native Erlang Interface
JDBC
ODBC
Proprietary protocol
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
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
.Net
C
C#
C++
Groovy
Java
PHP
Python
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresyes infoCoprocessors in JavaErlangnono
Triggersyesyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infono "single point of failure"horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factornoneActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infolinks between data sets can be storedyesno
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 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.yesyes infomanaged by 'Learn by Usage'no
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACyes, using Riak SecurityAccess rights for users, groups and roles according to SQL-standardAccess rights defined for Yandex Cloud users

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More resources
HBaseRiak KVSadas EngineYDB
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