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DBMS > Amazon DocumentDB vs. Apache HBase

System Properties Comparison Amazon DocumentDB vs. Apache HBase

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Our visitors often compare Amazon DocumentDB and Apache HBase with Apache Cassandra, Firebase Realtime Database and Microsoft Azure Cosmos DB.

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache HBase  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceWide-column store based on Apache Hadoop and on concepts of BigTable
Primary database modelDocument storeWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.84
Rank#127  Overall
#23  Document stores
Score25.00
Rank#26  Overall
#2  Wide column stores
Websiteaws.amazon.com/­documentdbhbase.apache.org
Technical documentationaws.amazon.com/­documentdb/­resourceshbase.apache.org/­book.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by Powerset
Initial release20192008
Current release2.3.4, January 2021
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 languageJava
Server operating systemshostedLinux
Unix
Windows infousing Cygwin
Data schemeschema-freeschema-free, schema definition possible
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVRO
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 indexesyesno
SQL infoSupport of SQLnono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Java API
RESTful HTTP API
Thrift
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Java
Triggersnoyes
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 replicasMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes
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 possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsSingle row ACID (across millions of columns)
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.yes
User concepts infoAccess controlAccess rights for users and rolesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

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More resources
Amazon DocumentDBApache HBase
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