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DBMS > Amazon DocumentDB vs. Apache Doris vs. atoti

System Properties Comparison Amazon DocumentDB vs. Apache Doris vs. atoti

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Doris  Xexclude from comparisonatoti  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAn MPP-based analytics DBMS embracing the MySQL protocolAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.
Primary database modelDocument storeRelational DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Websiteaws.amazon.com/­documentdbdoris.apache.org
github.com/­apache/­doris
atoti.io
Technical documentationaws.amazon.com/­documentdb/­resourcesgithub.com/­apache/­doris/­wikidocs.atoti.io
DeveloperApache Software Foundation, originally contributed from BaiduActiveViam
Initial release20192017
Current release1.2.2, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial infofree versions available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemshostedLinux
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 SQLnoyesMultidimensional Expressions (MDX)
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
MySQL client
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Java
Server-side scripts infoStored proceduresnouser defined functionsPython
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningSharding, horizontal partitioning
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 ConsistencyImmediate 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 operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
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.noyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBApache Dorisatoti
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