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DBMS > Amazon DocumentDB vs. Kinetica

System Properties Comparison Amazon DocumentDB vs. Kinetica

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Our visitors often compare Amazon DocumentDB and Kinetica with Elasticsearch, Snowflake and Pinecone.

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceFully vectorized database across both GPUs and CPUs
Primary database modelDocument storeRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.76
Rank#128  Overall
#24  Document stores
Score0.45
Rank#252  Overall
#118  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.kinetica.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.kinetica.com
DeveloperKinetica
Initial release20192012
Current release7.1, August 2021
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++
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 SQLnoSQL-like DML and DDL statements
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functions
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-replica replication
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 ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsno
Concurrency infoSupport for concurrent manipulation of datayesyes
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.yes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and roles on table level

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More resources
Amazon DocumentDBKinetica
Recent citations in the news

Amazon DocumentDB Quick Start: Zero Setup with AWS CloudShell | Amazon Web Services
14 March 2025, AWS Blog

Optimizing costs on Amazon DocumentDB using event-driven architecture and the AWS EventBridge Terraform module
23 August 2024, AWS Blog

Scale your connections with Amazon DocumentDB using mongobetween
4 June 2024, AWS Blog

Microsoft Announces Open-Source DocumentDB NoSQL Database
26 January 2025, Phoronix

Amazon DocumentDB zero-ETL integration with Amazon OpenSearch Service is now available
16 May 2024, AWS Blog

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Kinetica Delivers Real-Time Vector Similarity Search
21 March 2024, insideainews.com

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15 October 2020, NVIDIA Blog

Kinetica: AI is a ‘killer app’ for data analytics
2 May 2023, Blocks and Files

Kinetica Adds $6 Million in Acceleration Funding and Expands Management Team
26 September 2016, Business Wire

Explaining GPUs To Your CEO: The Power Of Productization
21 June 2017, Forbes

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