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DBMS > Couchbase vs. HBase vs. Impala

System Properties Comparison Couchbase vs. HBase vs. Impala

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Editorial information provided by DB-Engines
NameCouchbase infoOriginally called Membase  Xexclude from comparisonHBase  Xexclude from comparisonImpala  Xexclude from comparison
DescriptionJSON-based document store derived from CouchDB with a Memcached-compatible interfaceWide-column store based on Apache Hadoop and on concepts of BigTableAnalytic DBMS for Hadoop
Primary database modelDocument storeWide column 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
Score32.21
Rank#23  Overall
#3  Document stores
Score54.84
Rank#21  Overall
#2  Wide column stores
Score14.57
Rank#37  Overall
#23  Relational DBMS
Websitewww.couchbase.comhbase.apache.orgwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.html
Technical documentationdocs.couchbase.comhbase.apache.orgwww.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.html
DeveloperCouchbase, Inc.Apache Software Foundation infoApache top-level project, originally developed by PowersetCloudera
Initial release201120082013
Current releaseServer: 6.0, October 2018; Mobile: 2.5, May 2019; Couchbase Autonomous Operator: 1.2, May 20192.2.0, June 20193.3.0, August 2019
License infoCommercial or Open SourceOpen Source infoApache version 2; Commercial licenses also availableOpen Source infoApache version 2Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, Go and ErlangJavaC++
Server operating systemsLinux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
Linux
Data schemeschema-freeschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyes infoString, Boolean, Numberoptions to bring your own types, AVROyes
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.nono
Secondary indexesyesnoyes
SQL infoSupport of SQLDeclarative query language (N1QL) that extends ANSI SQL to JSON. First commercial implementation of SQL++.noSQL-like DML and DDL statements
APIs and other access methodsNative language bindings for CRUD, Query, Search and Analytics APIsJava API
RESTful HTTP API
Thrift
JDBC
ODBC
Supported programming languages.Net
C
Clojure
ColdFusion
Erlang
Go
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
Tcl
C
C#
C++
Groovy
Java
PHP
Python
Scala
All languages supporting JDBC/ODBC
Server-side scripts infoStored proceduresFunctions and timers in JavaScriptyes infoCoprocessors in Javayes infouser defined functions and integration of map-reduce
Triggersyes infovia the TAP protocolyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication infoincluding cross data center replication
Master-slave replication
Master-master replication
Master-slave replication
selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infoselectable on a per-operation basis
Immediate Consistency or Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle-document ACID transactionsSingle row ACID (across millions of columns)no
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoEphemeral bucketsyesno
User concepts infoAccess controlUser and Administrator separation with password-based and LDAP integrated AuthenticationAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users, groups and roles infobased on Apache Sentry and Kerberos
More information provided by the system vendor
Couchbase infoOriginally called MembaseHBaseImpala
Specific characteristicsDeveloped as an alternative to traditionally inflexible relational databases, Couchbase...
» more
Competitive advantagesCouchbase was architected with several differentiated capabilities: Shared-nothing,...
» more
Typical application scenariosCustomer 360 for user profile, session store and data aggregation (Comcast, Equifax,...
» more
Key customersAmadeus, AT&T, BD (Becton, Dickinson and Company), Carrefour, Cisco, Comcast, Disney,...
» 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

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More resources
Couchbase infoOriginally called MembaseHBaseImpala
DB-Engines blog posts

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Recent citations in the news

Couchbase Server 6.5 improves NoSQL database queries
8 October 2019, TechTarget

Couchbase to Sponsor and Exhibit at Red Hat Forums across Europe and Australia
15 October 2019, Yahoo Finance

Couchbase reveals its latest SQL release
2 October 2019, DevOps Online

68 Percent of Digital Architects Say Getting the Right Technology in Place for Transformation an “Insurmountable” Task, Couchbase Research Finds
15 October 2019, GlobeNewswire

Software architects struggle with relational database legacy
15 October 2019, ComputerWeekly.com

provided by Google News

Cloudera Extends Apache HBase To Use Amazon S3
4 October 2019, iProgrammer

Key-Value Stores Market present, past and futuristic data by: Redis, Azure Redis Cache, ArangoDB, Hbase, Google Cloud Datastore.
15 October 2019, Global Market Release

Designing Scalable HPC, Deep Learning, Big Data, and Cloud Middleware for Exascale Systems
18 October 2019, insideHPC

Kafka Spawns Open-Source KarelDB
30 September 2019, Datanami

Review: HBase is massively scalable -- and hugely complex
31 March 2014, InfoWorld

provided by Google News

Cloudera Boosts Hadoop App Development On Impala
10 November 2014, InformationWeek

Cloudera's a data warehouse player now
28 August 2018, ZDNet

Cloudera says Impala is faster than Hive, which isn't saying much
13 January 2014, GigaOM

Apache Impala gets top-level status as open source Hadoop tool
1 December 2017, TechTarget

Cloudera’s Impala brings Hadoop to SQL and BI
25 October 2012, ZDNet

provided by Google News

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