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DBMS > Couchbase vs. Vertica

System Properties Comparison Couchbase vs. Vertica

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Our visitors often compare Couchbase and Vertica with Cassandra, PostgreSQL and MySQL.

Editorial information provided by DB-Engines
NameCouchbase infoOriginally called Membase  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionJSON-based document store derived from CouchDB with a Memcached-compatible interfaceColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelDocument storeRelational DBMS
Secondary database modelsKey-value store infooriginating from the former Membase product and supporting the Memcached protocolDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score32.04
Rank#23  Overall
#3  Document stores
Score22.65
Rank#29  Overall
#17  Relational DBMS
Websitewww.couchbase.comwww.vertica.com
Technical documentationdocs.couchbase.comwww.vertica.com/­documentation/­vertica
DeveloperCouchbase, Inc.Vertica / Micro Focus infoprior to that Hewlett Packard
Initial release20112005
Current releaseServer: 6.0, October 2018; Mobile: 2.5, May 2019; Couchbase Autonomous Operator: 1.2, May 2019Vertica Analytics Platform 9.2.x, March 2019
License infoCommercial or Open SourceOpen Source infoApache version 2; Commercial licenses also availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenono infoavailable on Amazon AWS and Microsoft Azure
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, Go and Erlang
Server operating systemsLinux
OS X
Windows
Linux
Data schemeschema-freeyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyes infoString, Boolean, Numberyes
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.yes
Secondary indexesyesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLDeclarative query language (N1QL) that extends ANSI SQL to JSON. First commercial implementation of SQL++.yes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsNative language bindings for CRUD, Query, Search and Analytics APIsADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languages.Net
C
Clojure
ColdFusion
Erlang
Go
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
Tcl
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresFunctions and timers in JavaScriptyes
Triggersyes infovia the TAP protocolno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication infoincluding cross data center replication
Master-slave replication
Master-master replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infoselectable on a per-operation basis
Immediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle-document ACID transactionsACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoEphemeral buckets
User concepts infoAccess controlUser and Administrator separation with password-based and LDAP integrated Authenticationfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Couchbase infoOriginally called MembaseVertica infoVertica Analytics Platform
Specific characteristicsDeveloped as an alternative to traditionally inflexible relational databases, Couchbase...
» more
Columnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesCouchbase was architected with several differentiated capabilities: Shared-nothing,...
» more
Performance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosCustomer 360 for user profile, session store and data aggregation (Comcast, Equifax,...
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersAmadeus, AT&T, BD (Becton, Dickinson and Company), Carrefour, Cisco, Comcast, Disney,...
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Market metricsNamed a leader in the Forrester Wave™: Big Data NoSQL, Q1 2019 Over 10M downloads...
» more
Licensing and pricing modelsThe Community Edition (CE) of Couchbase Server and Couchbase Mobile are available...
» more
Cost-based models and subscription-based models are available
» more
Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more

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More resources
Couchbase infoOriginally called MembaseVertica infoVertica Analytics Platform
DB-Engines blog posts

Couchbase climbs up the DB-Engines Ranking, increasing its popularity by 10% every month
2 June 2014, Matthias Gelbmann

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