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DBMS > Amazon DocumentDB vs. Impala vs. InfluxDB vs. Microsoft Azure Cosmos DB vs. PostgreSQL

System Properties Comparison Amazon DocumentDB vs. Impala vs. InfluxDB vs. Microsoft Azure Cosmos DB vs. PostgreSQL

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonImpala  Xexclude from comparisonInfluxDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAnalytic DBMS for HadoopDBMS for storing time series, events and metricsGlobally distributed, horizontally scalable, multi-model database serviceWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelDocument storeRelational DBMSTime Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument storeSpatial DBMS infowith GEO packageSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.69
Rank#133  Overall
#22  Document stores
Score18.46
Rank#39  Overall
#24  Relational DBMS
Score30.09
Rank#28  Overall
#1  Time Series DBMS
Score40.04
Rank#26  Overall
#3  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score606.56
Rank#4  Overall
#4  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlwww.influxdata.com/­products/­influxdb-overviewazure.microsoft.com/­services/­cosmos-dbwww.postgresql.org
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmldocs.influxdata.com/­influxdbdocs.microsoft.com/­azure/­cosmos-dbwww.postgresql.org/­docs
DeveloperClouderaMicrosoftPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release20192013201320141989 info1989: Postgres, 1996: PostgreSQL
Current release4.0.0, July 20212.0.8, August 202114.1, November 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoMIT-License; commercial enterprise version availablecommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ScaleGrid for PostgreSQL: Fully managed PostgreSQL hosting on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
Implementation languageC++GoC
Server operating systemshostedLinuxLinux
OS X infothrough Homebrew
hostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-freeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesNumeric data and Stringsyes infoJSON typesyes
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.nononoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesnoyes infoAll properties auto-indexed by defaultyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like query languageSQL-like query languageyes infostandard with numerous extensions
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
HTTP API
JSON over UDP
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
All languages supporting JDBC/ODBC.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reducenoJavaScriptuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
TriggersnononoJavaScriptyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoin enterprise version onlySharding infoImplicit feature of the cloud servicepartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factorselectable replication factor infoin enterprise version onlyyes infoImplicit feature of the cloud serviceSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes infoquery execution via MapReducenowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnonoMulti-item ACID transactions with snapshot isolation within a partitionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoDepending on used storage engineno
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles infobased on Apache Sentry and Kerberossimple rights management via user accountsAccess rights can be defined down to the item levelfine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon DocumentDBImpalaInfluxDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBPostgreSQL
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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More resources
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DB-Engines blog posts

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Conferences and events

Postgres Build 2021
On Demand Talks, 30 November 2021 - 1 December 2021 (finished)

Recent citations in the news

Amazon DocumentDB adds Global Clusters
2 June 2021, ZDNet

AWS DocumentDB not MongoDB-compatible, says MongoDB Inc
6 December 2021, The Register

SAS Viya is living large on Azure
24 January 2022, ZDNet

Introduction to Amazon DocumentDB With MongoDB Compatibility
19 October 2020, AiThority

AWS Announces Amazon DocumentDB (with MongoDB Compatibility)
9 January 2019, Business Wire

provided by Google News

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

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Unravel Data Adds Native Support for Impala and Kafka
29 June 2017, insideBIGDATA

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24 October 2012, ZDNet

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