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DBMS > Amazon DynamoDB vs. Lovefield vs. Pinecone vs. STSdb

System Properties Comparison Amazon DynamoDB vs. Lovefield vs. Pinecone vs. STSdb

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonLovefield  Xexclude from comparisonPinecone  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudEmbeddable relational database for web apps written in pure JavaScriptA managed, cloud-native vector databaseKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelDocument store
Key-value store
Relational DBMSVector DBMSKey-value store
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
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websiteaws.amazon.com/­dynamodbgoogle.github.io/­lovefieldwww.pinecone.iogithub.com/­STSSoft/­STSdb4
Technical documentationdocs.aws.amazon.com/­dynamodbgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.pinecone.io/­docs/­overview
DeveloperAmazonGooglePinecone Systems, IncSTS Soft SC
Initial release2012201420192011
Current release2.1.12, February 20174.0.8, September 2015
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache 2.0commercialOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC#
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafarihostedWindows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesString, Number, Booleanyes infoprimitive types and user defined types (classes)
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 indexesyesyesno
SQL infoSupport of SQLnoSQL-like query language infovia JavaScript builder patternnono
APIs and other access methodsRESTful HTTP APIRESTful HTTP API.NET Client API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
JavaScriptPythonC#
Java
Server-side scripts infoStored proceduresnonono
Triggersyes infoby integration with AWS LambdaUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenone
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
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 regionACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDBno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)nono

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More resources
Amazon DynamoDBLovefieldPineconeSTSdb
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20 May 2024, AWS Blog

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29 December 2023, InfoQ.com

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