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DBMS > Amazon DocumentDB vs. Kdb vs. Microsoft Azure AI Search vs. PieCloudDB vs. Yaacomo

System Properties Comparison Amazon DocumentDB vs. Kdb vs. Microsoft Azure AI Search vs. PieCloudDB vs. Yaacomo

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonKdb  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonPieCloudDB  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceHigh performance Time Series DBMSSearch-as-a-service for web and mobile app developmentA cloud-native analytic database platform with new technologoy for elastic MPPOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument storeTime Series DBMS
Vector DBMS
Search engineRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score0.25
Rank#304  Overall
#138  Relational DBMS
Websiteaws.amazon.com/­documentdbkx.comazure.microsoft.com/­en-us/­services/­searchwww.openpie.comyaacomo.com
Technical documentationaws.amazon.com/­documentdb/­resourcescode.kx.comlearn.microsoft.com/­en-us/­azure/­search
DeveloperKx Systems, a division of First Derivatives plcMicrosoftOpenPieQ2WEB GmbH
Initial release20192000 infokdb was released 2000, kdb+ in 200320152009
Current release3.6, May 2018V12.1, January 2023
License infoCommercial or Open Sourcecommercialcommercial infofree 32-bit versioncommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageq
Server operating systemshostedLinux
OS X
Solaris
Windows
hostedhostedAndroid
Linux
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyesnono
Secondary indexesyesyes infotable attribute 'grouped'yesyesyes
SQL infoSupport of SQLnoSQL-like query language (q)noyesyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
RESTful HTTP APICLI Client
JDBC
ODBC
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C#
Java
JavaScript
Python
Java
PL/SQL
Python
R
Server-side scripts infoStored proceduresnouser defined functionsnouser defined functions
Triggersnoyes infowith viewsnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningSharding infoImplicit feature of the cloud serviceyeshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-replica replicationyes infoImplicit feature of the cloud serviceyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)no infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users and rolesrights management via user accountsyes infousing Azure authenticationUser Roles and pluggable authentication with full SQL Standardfine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon DocumentDBKdbMicrosoft Azure AI SearchPieCloudDBYaacomo
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
PieCloudDB, OpenPie's flagship product, is a cutting-edge cloud-native data warehouse....
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Extreme Elastic: PieCloudDB utilizes a cutting-edge eMPP cloud-native architecture...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
PieCloudDB is ideal for Data mining applications that require extreme scalability...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Sail-Cloud China Shipbuilding Group Haizhou System Soochow Securities ​etc.,
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more
PieCloudDB Community Edition: Community License, Free Download, Self-Hosted Deployment;...
» more

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More resources
Amazon DocumentDBKdbMicrosoft Azure AI SearchPieCloudDBYaacomo
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