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DBMS > Apache Impala vs. Couchbase vs. RDF4J

System Properties Comparison Apache Impala vs. Couchbase vs. RDF4J

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonCouchbase infoOriginally called Membase  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA distributed document store with integrated cache, a powerful search engine, in-built operational and analytical capabilities, and an embedded mobile databaseRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSDocument storeRDF store
Secondary database modelsDocument storeKey-value store infooriginating from the former Membase product and supporting the Memcached protocol
Spatial DBMS infousing the Geocouch extension
Search engine
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score18.46
Rank#36  Overall
#5  Document stores
Score0.71
Rank#231  Overall
#9  RDF stores
Websiteimpala.apache.orgwww.couchbase.comrdf4j.org
Technical documentationimpala.apache.org/­impala-docs.htmldocs.couchbase.comrdf4j.org/­documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCouchbase, Inc.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release201320112004
Current release4.1.0, June 2022Server: 7.2, June 2023; Mobile: 3.1, March 2022; Couchbase Capella (DBaaS), June 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoBusiness Source License (BSL 1.1); Commercial licenses also availableOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, C++, Go and ErlangJava
Server operating systemsLinuxLinux
OS X
Windows
Linux
OS X
Unix
Windows
Data schemeyesschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyes
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.no
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL++, extends ANSI SQL to JSON for operational, transactional, and analytic use casesno
APIs and other access methodsJDBC
ODBC
CLI Client
HTTP REST
Kafka Connector
Native language bindings for CRUD, Query, Search and Analytics APIs
Spark Connector
Spring Data
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
Go
Java
JavaScript infoNode.js
Kotlin
PHP
Python
Ruby
Scala
Java
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceFunctions and timers in JavaScript and UDFs in Java, Python, SQL++yes
Triggersnoyes infovia the TAP protocolyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic Shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication infoincluding cross data center replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency infoselectable on a per-operation basis
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoEphemeral buckets
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosUser and Administrator separation with password-based and LDAP integrated Authentication. Role-base access control.no

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More resources
Apache ImpalaCouchbase infoOriginally called MembaseRDF4J infoformerly known as Sesame
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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