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DBMS > Riak KV vs. STSdb vs. Vertica

System Properties Comparison Riak KV vs. STSdb vs. Vertica

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Editorial information provided by DB-Engines
NameRiak KV  Xexclude from comparisonSTSdb  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionDistributed, fault tolerant key-value storeKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelKey-value store infowith links between data sets and object tags for the creation of secondary indexesKey-value storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.67
Rank#57  Overall
#9  Key-value stores
Score0.09
Rank#291  Overall
#48  Key-value stores
Score22.55
Rank#29  Overall
#17  Relational DBMS
Websitebasho.com/­products/­riak-kvstssoft.com/­products/­stsdb-4-0www.vertica.com
Technical documentationwww.vertica.com/­documentation/­vertica
DeveloperBasho TechnologiesSTS Soft SCVertica / Micro Focus infoprior to that Hewlett Packard
Initial release200920112005
Current release2.1.0, April 2015Vertica Analytics Platform 9.2.x, March 2019
License infoCommercial or Open SourceOpen Source infoApache version 2, commercial enterprise editionOpen Source infoGPLv2, commercial license availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonono infoavailable on Amazon AWS and Microsoft Azure
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC#
Server operating systemsLinux
OS X
WindowsLinux
Data schemeschema-freeyesyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or datenoyes 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.noyes
Secondary indexesrestrictednono infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLnonoyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsHTTP API
Native Erlang Interface
.NET Client APIADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesC 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
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresJavaScript and Erlangnoyes
Triggersyes infopre-commit hooks and post-commit hooksnono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"noneSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneMaster-master replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infolinks between data sets can be storednoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
User concepts infoAccess controlnonofine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Riak KVSTSdbVertica infoVertica Analytics Platform
Specific characteristicsColumnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesPerformance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are available
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Riak KVSTSdbVertica infoVertica Analytics Platform
Recent citations in the news

Is Riak A Good NoSQL Database Option?
1 July 2019, Analytics India Magazine

Basho open-sources its Riak TS database for the Internet Of Things
5 May 2016, TechCrunch

Basho's database downfall highlights danger of bringing too-niche tech to market
10 July 2018, TechRepublic

Basho, Maker of Riak NoSQL Database, Raises $25M
13 January 2015, Data Center Knowledge

NoSQL database Riak acquired following Basho’s fall from grace
13 September 2017, Computer Business Review

provided by Google News

3 Data-Driven Rules For Competing With Amazon In The First-Ever Trillion-Dollar Holiday Season
12 November 2019, Forbes

Micro Focus Announces Vertica in Eon Mode for Pure Storage
18 September 2019, DevOps.com

You Can't Do Machine Learning Inside a Database. Can You?
1 April 2019, Datanami

Inside the Democrats’ Plan to Fix Their Crumbling Data Operation
2 April 2019, WIRED

How ML Helps Solve the Big Data Transform/Mastering Problem
10 October 2019, Datanami

provided by Google News

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