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DBMS > Amazon Redshift vs. Quasardb vs. Riak KV vs. Valentina Server vs. VelocityDB

System Properties Comparison Amazon Redshift vs. Quasardb vs. Riak KV vs. Valentina Server vs. VelocityDB

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonQuasardb  Xexclude from comparisonRiak KV  Xexclude from comparisonValentina Server  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsDistributed, high-performance timeseries databaseDistributed, fault tolerant key-value storeObject-relational database and reports serverA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMSGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Score0.17
Rank#327  Overall
#145  Relational DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websiteaws.amazon.com/­redshiftquasar.aiwww.valentina-db.netvelocitydb.com
Technical documentationdocs.aws.amazon.com/­redshiftdoc.quasar.ai/­masterwww.tiot.jp/­riak-docs/­riak/­kv/­latestvalentina-db.com/­docs/­dokuwiki/­v5/­doku.phpvelocitydb.com/­UserGuide
DeveloperAmazon (based on PostgreSQL)quasardbOpenSource, formerly Basho TechnologiesParadigma SoftwareVelocityDB Inc
Initial release20122009200919992011
Current release3.14.1, January 20243.2.0, December 20225.7.57.x
License infoCommercial or Open Sourcecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache version 2, commercial enterprise editioncommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++ErlangC#
Server operating systemshostedBSD
Linux
OS X
Windows
Linux
OS X
Linux
OS X
Windows
Any that supports .NET
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infointeger and binarynoyesyes
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 indexesrestrictedyes infowith tagsrestrictedyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL-like query languagenoyesno
APIs and other access methodsJDBC
ODBC
HTTP APIHTTP API
Native Erlang Interface
ODBC.Net
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
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++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
.Net
Server-side scripts infoStored proceduresuser defined functions infoin PythonnoErlangyesno
Triggersnonoyes infopre-commit hooks and post-commit hooksyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashingSharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication with selectable replication factorselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnono infolinks between data sets can be storedyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient modeyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trailyes, using Riak Securityfine grained access rights according to SQL-standardBased on Windows Authentication

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More resources
Amazon RedshiftQuasardbRiak KVValentina ServerVelocityDB
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