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DBMS > Amazon DocumentDB vs. InfinityDB vs. Microsoft Azure AI Search

System Properties Comparison Amazon DocumentDB vs. InfinityDB vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonInfinityDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA Java embedded Key-Value Store which extends the Java Map interfaceSearch-as-a-service for web and mobile app development
Primary database modelDocument storeKey-value storeSearch engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.00
Rank#378  Overall
#57  Key-value stores
Score5.59
Rank#63  Overall
#7  Search engines
Websiteaws.amazon.com/­documentdbboilerbay.comazure.microsoft.com/­en-us/­services/­search
Technical documentationaws.amazon.com/­documentdb/­resourcesboilerbay.com/­infinitydb/­manuallearn.microsoft.com/­en-us/­azure/­search
DeveloperBoiler Bay Inc.Microsoft
Initial release201920022015
Current release4.0V1
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemshostedAll OS with a Java VMhosted
Data schemeschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyes
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes
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.nonono
Secondary indexesyesno infomanual creation possible, using inversions based on multi-value capabilityyes
SQL infoSupport of SQLnonono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
JavaC#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnoneyes infoImplicit feature of the cloud service
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 infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleno infomanual creation possible, using inversions based on multi-value capabilityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACID infoOptimistic locking for transactions; no isolation for bulk loadsno
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.nono
User concepts infoAccess controlAccess rights for users and rolesnoyes infousing Azure authentication

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More resources
Amazon DocumentDBInfinityDBMicrosoft Azure AI Search
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