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DBMS > Amazon DocumentDB vs. Graphite vs. SvectorDB

System Properties Comparison Amazon DocumentDB vs. Graphite vs. SvectorDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGraphite  Xexclude from comparisonSvectorDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperServerless cloud-native vector database infoServerless cloud-native vector database
Primary database modelDocument storeTime Series DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#124  Overall
#22  Document stores
Score5.19
Rank#62  Overall
#4  Time Series DBMS
Score0.00
Rank#385  Overall
#16  Vector DBMS
Websiteaws.amazon.com/­documentdbgithub.com/­graphite-project/­graphite-websvectordb.com
Technical documentationaws.amazon.com/­documentdb/­resourcesgraphite.readthedocs.iowww.svectordb.com/­docs
DeveloperChris DavisSvectorDB
Initial release201920062023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePython
Server operating systemshostedLinux
Unix
server-less
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateyesNumeric data onlystring, double, vector
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
SQL infoSupport of SQLnono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)HTTP API
Sockets
OpenAPI 3.0, RESTful HTTP API, Python SDK, JavaScript / TypeScript SDK
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnonenone
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)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate 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 operationsno
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyes
Durability infoSupport for making data persistentyesyesyes
User concepts infoAccess controlAccess rights for users and rolesno

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More resources
Amazon DocumentDBGraphiteSvectorDB
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Recent citations in the news

Unlock the power of parallel indexing in Amazon DocumentDB
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16 May 2024, AWS Blog

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28 March 2024, AWS Blog

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