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DBMS > Amazon DocumentDB vs. atoti vs. Hypertable vs. Speedb

System Properties Comparison Amazon DocumentDB vs. atoti vs. Hypertable vs. Speedb

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonatoti  Xexclude from comparisonHypertable  Xexclude from comparisonSpeedb  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 in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.An open source BigTable implementation based on distributed file systems such as HadoopAn embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDB
Primary database modelDocument storeObject oriented DBMSWide column storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#124  Overall
#22  Document stores
Score0.45
Rank#253  Overall
#13  Object oriented DBMS
Score0.20
Rank#310  Overall
#44  Key-value stores
Websiteaws.amazon.com/­documentdbatoti.iowww.speedb.io
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.atoti.io
DeveloperActiveViamHypertable Inc.Speedb
Initial release201920092020
Current release0.9.8.11, March 2016
License infoCommercial or Open Sourcecommercialcommercial infofree versions availableOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache Version 2.0; commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++
Server operating systemshostedLinux
OS X
Windows infoan inofficial Windows port is available
Linux
Windows
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnono
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 scansno
SQL infoSupport of SQLnoMultidimensional Expressions (MDX)nono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)C++ API
Thrift
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C++
Java
Perl
PHP
Python
Ruby
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnoPythonnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding, horizontal partitioningShardinghorizontal 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 levelyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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 operationsnoyes
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.yesyes
User concepts infoAccess controlAccess rights for users and rolesnono

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More resources
Amazon DocumentDBatotiHypertableSpeedb
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