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DBMS > Apache Impala vs. Geode vs. PouchDB vs. Sphinx

System Properties Comparison Apache Impala vs. Geode vs. PouchDB vs. Sphinx

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonGeode  Xexclude from comparisonPouchDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesJavaScript DBMS with an API inspired by CouchDBOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSKey-value storeDocument storeSearch engine
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score2.34
Rank#112  Overall
#21  Document stores
Score5.95
Rank#55  Overall
#5  Search engines
Websiteimpala.apache.orggeode.apache.orgpouchdb.comsphinxsearch.com
Technical documentationimpala.apache.org/­impala-docs.htmlgeode.apache.org/­docspouchdb.com/­guidessphinxsearch.com/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Apache Software FoundationSphinx Technologies Inc.
Initial release2013200220122001
Current release4.1.0, June 20221.1, February 20177.1.1, June 20193.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2; commercial licenses available as GemfireOpen SourceOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJavaScriptC++
Server operating systemsLinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredserver-less, requires a JavaScript environment (browser, Node.js)FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnono
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.nonono
Secondary indexesyesnoyes infovia viewsyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language (OQL)noSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
Java Client API
Memcached protocol
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
Proprietary protocol
Supported programming languagesAll languages supporting JDBC/ODBC.Net
All JVM based languages
C++
Groovy
Java
Scala
JavaScriptC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functionsView functions in JavaScriptno
Triggersnoyes infoCache Event Listenersyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infowith a proxy-based framework, named couchdb-loungeSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes, on a single nodenono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights per client and object definablenono

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Apache ImpalaGeodePouchDBSphinx
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