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DBMS > Amazon DocumentDB vs. Apache Phoenix vs. Spark SQL

System Properties Comparison Amazon DocumentDB vs. Apache Phoenix vs. Spark SQL

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Phoenix  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA scale-out RDBMS with evolutionary schema built on Apache HBaseSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.69
Rank#136  Overall
#22  Document stores
Score3.57
Rank#93  Overall
#49  Relational DBMS
Score23.33
Rank#33  Overall
#19  Relational DBMS
Websiteaws.amazon.com/­documentdbphoenix.apache.orgspark.apache.org/­sql
Technical documentationaws.amazon.com/­documentdb/­resourcesphoenix.apache.orgspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software FoundationApache Software Foundation
Initial release201920142014
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.2.0, October 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScala
Server operating systemshostedLinux
Unix
Windows
Linux
OS X
Windows
Data schemeschema-freeyes infolate-bound, schema-on-read capabilitiesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesno
SQL infoSupport of SQLnoyesSQL-like DML and DDL statements
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBCJDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Java
Python
R
Scala
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and rolesAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyno

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More resources
Amazon DocumentDBApache PhoenixSpark SQL
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Recent citations in the news

Amazon DocumentDB adds Global Clusters
2 June 2021, ZDNet

Amazon DocumentDB (with MongoDB compatibility) adds support for Access Control with User-Defined Roles
26 October 2021, marketscreener.com

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

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

How MongoDB Beat Amazon
8 October 2021, Motley Fool

provided by Google News

Apache Phoenix Now HBase 2.0 Compatible
20 July 2018, iProgrammer

Developing Python Applications Against Apache Phoenix (HBase)
30 September 2016, DZone News

HPE gobbles up Ampool to add SQL grunt to Ezmeral
9 July 2021, The Register

Apache Calcite, FreeMarker, Gora, Phoenix, and Solr updated
27 March 2017, SDTimes.com

The Apache Software Foundation Announces the 10th Anniversary of Apache® HBase
13 May 2020, GlobeNewswire

provided by Google News

Apache Spark Brings Pandas API with Version 3.2
4 November 2021, InfoQ.com

Compare Hadoop vs. Spark vs. Kafka for your big data strategy
15 November 2021, TechTarget

Spark Gets Closer Hooks to Pandas, SQL with Version 3.2
26 October 2021, Datanami

2015 - Spark Takes the Big Data World by Storm
1 July 2021, Datanami

Microsoft : Accelerate big data analytics with Spark 3.0 connector for SQL Server—now generally available
13 July 2021, marketscreener.com

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