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

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

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonRiak KV  Xexclude from comparisonSTSdb  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableDistributed, 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 modelWide column storeKey-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
Score53.34
Rank#21  Overall
#2  Wide column stores
Score5.39
Rank#59  Overall
#9  Key-value stores
Score0.08
Rank#288  Overall
#47  Key-value stores
Score22.65
Rank#29  Overall
#17  Relational DBMS
Websitehbase.apache.orgbasho.com/­products/­riak-kvstssoft.com/­products/­stsdb-4-0www.vertica.com
Technical documentationhbase.apache.orgwww.vertica.com/­documentation/­vertica
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetBasho TechnologiesSTS Soft SCVertica / Micro Focus infoprior to that Hewlett Packard
Initial release2008200920112005
Current release2.2.0, June 20192.1.0, April 2015Vertica Analytics Platform 9.2.x, March 2019
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache version 2, commercial enterprise editionOpen Source infoGPLv2, commercial license availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenononono infoavailable on Amazon AWS and Microsoft Azure
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlangC#
Server operating systemsLinux
Unix
Windows infousing Cygwin
Linux
OS X
WindowsLinux
Data schemeschema-free, schema definition possibleschema-freeyesyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROnoyes 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.nonoyes
Secondary indexesnorestrictednono infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLnononoyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsJava API
RESTful HTTP API
Thrift
HTTP API
Native Erlang Interface
.NET Client APIADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
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
C#
Java
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresyes infoCoprocessors in JavaJavaScript and Erlangnoyes
Triggersyesyes infopre-commit hooks and post-commit hooksnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infono "single point of failure"noneSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
selectable replication factornoneMaster-master replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnoyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infolinks between data sets can be storednoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)nonoACID
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.yes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnonofine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
HBaseRiak 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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More resources
HBaseRiak KVSTSdbVertica infoVertica Analytics Platform
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