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DBMS > Amazon CloudSearch vs. atoti vs. MonetDB vs. Qdrant

System Properties Comparison Amazon CloudSearch vs. atoti vs. MonetDB vs. Qdrant

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonatoti  Xexclude from comparisonMonetDB  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A relational database management system that stores data in columnsA high-performance vector database with neural network or semantic-based matching
Primary database modelSearch engineObject oriented DBMSRelational DBMSVector DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.87
Rank#140  Overall
#12  Search engines
Score0.59
Rank#242  Overall
#10  Object oriented DBMS
Score1.72
Rank#148  Overall
#68  Relational DBMS
Score1.23
Rank#171  Overall
#6  Vector DBMS
Websiteaws.amazon.com/­cloudsearchatoti.iowww.monetdb.orggithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.atoti.iowww.monetdb.org/­Documentationqdrant.tech/­documentation
DeveloperAmazonActiveViamMonetDB BVQdrant
Initial release201220042021
Current releaseDec2023 (11.49), December 2023
License infoCommercial or Open Sourcecommercialcommercial infofree versions availableOpen Source infoMozilla Public License 2.0Open Source infoApache Version 2.0
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 languageJavaCRust
Server operating systemshostedFreeBSD
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesNumbers, Strings, Geo, Boolean
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.no
Secondary indexesyes infoall search fields are automatically indexedyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLnoMultidimensional Expressions (MDX)yes infoSQL 2003 with some extensionsno
APIs and other access methodsHTTP APIJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnoPythonyes, in SQL, C, R
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding, horizontal partitioningSharding via remote tablesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnone infoSource-replica replication available in experimental statusCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency, tunable consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
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 controlauthentication via encrypted signaturesfine grained access rights according to SQL-standardKey-based authentication

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More resources
Amazon CloudSearchatotiMonetDBQdrant
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Amazon CloudSearch – Start Searching in One Hour for Less Than $100 / Month | Amazon Web Services
12 April 2012, AWS Blog

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16 April 2012, Forbes

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