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DBMS > Amazon DynamoDB vs. ObjectBox vs. Pinecone vs. Sequoiadb

System Properties Comparison Amazon DynamoDB vs. ObjectBox vs. Pinecone vs. Sequoiadb

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonObjectBox  Xexclude from comparisonPinecone  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudExtremely fast embedded database for small devices, IoT and MobileA managed, cloud-native vector databaseNewSQL database with distributed OLTP and SQL
Primary database modelDocument store
Key-value store
Object oriented DBMSVector DBMSDocument store
Relational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.07
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Websiteaws.amazon.com/­dynamodbobjectbox.iowww.pinecone.iowww.sequoiadb.com
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.objectbox.iodocs.pinecone.io/­docs/­overviewwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperAmazonObjectBox LimitedPinecone Systems, IncSequoiadb Ltd.
Initial release2012201720192013
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache License 2.0commercialOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++
Server operating systemshostedAndroid
iOS
Linux
macOS
Windows
hostedLinux
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesString, Number, Booleanyes infooid, date, timestamp, binary, regex
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 indexesyesyesyes
SQL infoSupport of SQLnononoSQL-like query language
APIs and other access methodsRESTful HTTP APIProprietary native APIRESTful HTTP APIproprietary protocol using JSON
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Python.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnonoJavaScript
Triggersyes infoby integration with AWS Lambdanono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesonline/offline synchronization between client and serverSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionACIDDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yessimple password-based access control
More information provided by the system vendor
Amazon DynamoDBObjectBoxPineconeSequoiadb
News

Edge AI: The era of on-device AI
23 April 2024

In-Memory Database Use Cases
15 February 2024

Data Viewer for Objects – announcing ObjectBox Admin
14 November 2023

Vector Databases for Edge AI
9 August 2023

Vector Database Release for Flutter / Dart + Python
13 June 2023

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More resources
Amazon DynamoDBObjectBoxPineconeSequoiadb
DB-Engines blog posts

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Recent citations in the news

Introducing configurable maximum throughput for Amazon DynamoDB on-demand | Amazon Web Services
3 May 2024, AWS Blog

AWS announces Amazon DynamoDB zero-ETL integration with Amazon OpenSearch Service
28 November 2023, AWS Blog

Simplify cross-account access control with Amazon DynamoDB using resource-based policies | Amazon Web Services
20 March 2024, AWS Blog

A new and improved AWS CDK construct for Amazon DynamoDB tables | Amazon Web Services
31 January 2024, AWS Blog

Bulk update Amazon DynamoDB tables with AWS Step Functions | Amazon Web Services
20 March 2024, AWS Blog

provided by Google News

Industrial IoT (IIoT) edge solution for railway operators – a Kapsch ObjectBox Case Study
21 June 2019, 1E9

A Quick Look at Open Source Databases for Mobile App Development
29 April 2018, Open Source For You

provided by Google News

Pinecone’s new serverless database may see few takers, analysts say
17 January 2024, InfoWorld

Pinecone Brings Serverless To Vector Databases
16 January 2024, Forbes

Pinecone: New vector database architecture a 'breakthrough' to curb AI hallucinations
16 January 2024, VentureBeat

Reimagining Vector Databases for the Generative AI Era with Pinecone Serverless on AWS | Amazon Web Services
21 March 2024, AWS Blog

Seven Vector Database Startups Poised to Win in the AI Revolution
19 April 2024, Business Insider

provided by Google News



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