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DBMS > Riak KV vs. STSdb vs. ToroDB vs. Vertica

System Properties Comparison Riak KV vs. STSdb vs. ToroDB vs. Vertica

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Editorial information provided by DB-Engines
NameRiak KV  Xexclude from comparisonSTSdb  Xexclude from comparisonToroDB  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 methodA MongoDB-compatible JSON document store, built on top of PostgreSQLColumnar 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 storeDocument storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.34
Rank#67  Overall
#9  Key-value stores
Score0.14
Rank#290  Overall
#45  Key-value stores
Score0.04
Rank#317  Overall
#43  Document stores
Score21.21
Rank#32  Overall
#19  Relational DBMS
Websiteriak.com/­products/­riak-kvgithub.com/­STSSoft/­STSdb4www.torodb.comwww.vertica.com
Technical documentationwww.torodb.com/­stampede/­docswww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
DeveloperBasho TechnologiesSTS Soft SC8KdataVertica / Micro Focus infoprior to that Hewlett Packard
Initial release2009201120162005
Current release2.1.0, April 20154.0.8, September 2015Vertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
License infoCommercial or Open SourceOpen Source infoApache version 2, commercial enterprise editionOpen Source infoGPLv2, commercial license availableOpen Source infoAGPL-V3commercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenononono infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platform
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangC#Java
Server operating systemsLinux
OS X
WindowsAll OS with a Java 7 VMLinux
Data schemeschema-freeyesschema-freeyes 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 infostring, integer, double, boolean, date, object_idyes
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.nonoyes
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 hooksnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"noneShardingSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneSource-replica replicationMulti-source 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 ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityno infolinks between data sets can be storednonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
User concepts infoAccess controlnonoAccess rights for users and rolesfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Riak KVSTSdbToroDBVertica 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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More resources
Riak KVSTSdbToroDBVertica infoVertica Analytics Platform
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