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DBMS > Amazon DocumentDB vs. Hypertable vs. Yaacomo

System Properties Comparison Amazon DocumentDB vs. Hypertable vs. Yaacomo

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonHypertable  Xexclude from comparisonYaacomo  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAn open source BigTable implementation based on distributed file systems such as HadoopOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument storeWide column storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.78
Rank#130  Overall
#24  Document stores
Score0.00
Rank#357  Overall
#155  Relational DBMS
Websiteaws.amazon.com/­documentdbyaacomo.com
Technical documentationaws.amazon.com/­documentdb/­resources
DeveloperHypertable Inc.Q2WEB GmbH
Initial release201920092009
Current release0.9.8.11, March 2016
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedLinux
OS X
Windows infoan inofficial Windows port is available
Android
Linux
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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 indexesyesrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLnonoyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)C++ API
Thrift
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnono
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning
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 on file system levelSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoACID
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.yes
User concepts infoAccess controlAccess rights for users and rolesnofine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBHypertableYaacomo
Recent citations in the news

Amazon DocumentDB (with MongoDB compatibility) now supports the Decimal128 data type
10 August 2022, Marketscreener.com

Change data capture: The critical link for Airbnb, Netflix and Uber
14 August 2022, VentureBeat

Imperva Extends its Data Security Fabric to Include Enterprise Data Lakes Built on AWS
26 July 2022, Business Wire

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

AWS, MongoDB database collision stirs open source tensions
11 January 2019, TechTarget

provided by Google News

TimescaleDB goes distributed; implements ‘Chunking’ over ‘Sharding’ for scaling-out
22 August 2019, Packt Hub

provided by Google News

Job opportunities

Software Development Manager, Amazon DocumentDB
Amazon.com Services LLC, Seattle, WA

Senior Product Manager Tech ES, Amazon DocumentDB
Amazon Dev Center U.S., Inc., East Palo Alto, CA

Senior Software Development Engineer, Amazon DocumentDB
Amazon.com Services LLC, Seattle, WA

Senior Software Development Engineer – DocumentDB (with MongoDB compatibility), Amazon DocumentDB
Amazon.com Services LLC, Seattle, WA

Principal Product Manager Tech - AWS, Amazon DocumentDB
Amazon Dev Center U.S., Inc., Seattle, WA

jobs by Indeed



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