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DBMS > Apache Impala vs. InfluxDB vs. MonetDB vs. PouchDB

System Properties Comparison Apache Impala vs. InfluxDB vs. MonetDB vs. PouchDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonInfluxDB  Xexclude from comparisonMonetDB  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopDBMS for storing time series, events and metricsA relational database management system that stores data in columnsJavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSTime Series DBMSRelational DBMSDocument store
Secondary database modelsDocument storeSpatial DBMS infowith GEO packageDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score22.12
Rank#28  Overall
#1  Time Series DBMS
Score1.72
Rank#135  Overall
#62  Relational DBMS
Score2.18
Rank#114  Overall
#21  Document stores
Websiteimpala.apache.orgwww.influxdata.com/­products/­influxdb-overviewwww.monetdb.orgpouchdb.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.influxdata.com/­influxdbwww.monetdb.org/­Documentationpouchdb.com/­guides
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaMonetDB BVApache Software Foundation
Initial release2013201320042012
Current release4.1.0, June 20222.7.6, April 2024Dec2023 (11.49), December 20237.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoMIT-License; commercial enterprise version availableOpen Source infoMozilla Public License 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoCJavaScript
Server operating systemsLinuxLinux
OS X infothrough Homebrew
FreeBSD
Linux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyesno
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 indexesyesnoyesyes infovia views
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageyes infoSQL 2003 with some extensionsno
APIs and other access methodsJDBC
ODBC
HTTP API
JSON over UDP
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
JavaScript
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyes, in SQL, C, RView functions in JavaScript
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlySharding via remote tablesSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infoin enterprise version onlynone infoSource-replica replication available in experimental statusMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoDepending on used storage engineyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberossimple rights management via user accountsfine grained access rights according to SQL-standardno
More information provided by the system vendor
Apache ImpalaInfluxDBMonetDBPouchDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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