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DBMS > Amazon DocumentDB vs. atoti vs. Lovefield

System Properties Comparison Amazon DocumentDB vs. atoti vs. Lovefield

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonatoti  Xexclude from comparisonLovefield  Xexclude from comparison
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.Embeddable relational database for web apps written in pure JavaScript
Primary database modelDocument storeObject oriented DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#137  Overall
#24  Document stores
Score0.59
Rank#242  Overall
#10  Object oriented DBMS
Score0.32
Rank#290  Overall
#132  Relational DBMS
Websiteaws.amazon.com/­documentdbatoti.iogoogle.github.io/­lovefield
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.atoti.iogithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperActiveViamGoogle
Initial release20192014
Current release2.1.12, February 2017
License infoCommercial or Open Sourcecommercialcommercial infofree versions availableOpen 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 languageJavaJavaScript
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
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 SQLnoMultidimensional Expressions (MDX)SQL-like query language infovia JavaScript builder pattern
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
JavaScript
Server-side scripts infoStored proceduresnoPythonno
TriggersnoUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesnoneSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDB
User concepts infoAccess controlAccess rights for users and rolesno

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More resources
Amazon DocumentDBatotiLovefield
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