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DBMS > Amazon DocumentDB vs. Impala

System Properties Comparison Amazon DocumentDB vs. Impala

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonImpala  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAnalytic DBMS for Hadoop
Primary database modelDocument storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.55
Rank#194  Overall
#27  Document stores
Score14.57
Rank#37  Overall
#23  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.html
Technical documentationaws.amazon.com/­documentdb/­resourceswww.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.html
DeveloperCloudera
Initial release20192013
Current release3.3.0, August 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemshostedLinux
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statements
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
All languages supporting JDBC/ODBC
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduce
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles infobased on Apache Sentry and Kerberos

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More resources
Amazon DocumentDBImpala
Recent citations in the news

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

DocumentDB vs. DynamoDB: Compare AWS NoSQL databases
26 April 2019, TechTarget

How We'll Know If Amazon's DocumentDB Is Hurting MongoDB
21 March 2019, The Motley Fool

Amazon DocumentDB Speeds Up With Slow Queries Logging
20 August 2019, Computer Business Review

AWS's DocumentDB Takes Aim at MongoDB
11 January 2019, Light Reading

provided by Google News

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

Cloudera's a data warehouse player now
28 August 2018, ZDNet

Cloudera says Impala is faster than Hive, which isn't saying much
13 January 2014, GigaOM

Cloudera’s Impala brings Hadoop to SQL and BI
25 October 2012, ZDNet

Apache Impala gets top-level status as open source Hadoop tool
1 December 2017, TechTarget

provided by Google News

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