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DBMS > Apache Impala vs. Cubrid vs. Dgraph vs. PouchDB vs. Sphinx

System Properties Comparison Apache Impala vs. Cubrid vs. Dgraph vs. PouchDB vs. Sphinx

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonCubrid  Xexclude from comparisonDgraph  Xexclude from comparisonPouchDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPDistributed and scalable native Graph DBMSJavaScript DBMS with an API inspired by CouchDBOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSRelational DBMSGraph DBMSDocument 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
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score5.95
Rank#55  Overall
#5  Search engines
Websiteimpala.apache.orgcubrid.com (korean)
cubrid.org (english)
dgraph.iopouchdb.comsphinxsearch.com
Technical documentationimpala.apache.org/­impala-docs.htmlcubrid.org/­manualsdgraph.io/­docspouchdb.com/­guidessphinxsearch.com/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCUBRID Corporation, CUBRID FoundationDgraph Labs, Inc.Apache Software FoundationSphinx Technologies Inc.
Initial release20132008201620122001
Current release4.1.0, June 202211.0, January 20217.1.1, June 20193.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoApache 2.0Open SourceOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, C++, JavaGoJavaScriptC++
Server operating systemsLinuxLinux
Windows
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnono
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.nononono
Secondary indexesyesyesyesyes infovia viewsyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnonoSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
Proprietary protocol
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
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-reduceJava Stored ProceduresnoView functions in JavaScriptno
Triggersnoyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyesSharding 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 factorSource-replica replicationSynchronous replication via RaftMulti-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 MapReducenonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardno infoPlanned for future releasesnono

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More resources
Apache ImpalaCubridDgraphPouchDBSphinx
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