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DBMS > Amazon SimpleDB vs. STSdb vs. Weaviate vs. XTDB

System Properties Comparison Amazon SimpleDB vs. STSdb vs. Weaviate vs. XTDB

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonSTSdb  Xexclude from comparisonWeaviate  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodAn AI-native realtime vector database engine that integrates scalable machine learning models.A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelKey-value storeKey-value storeVector DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score0.04
Rank#360  Overall
#52  Key-value stores
Score1.73
Rank#143  Overall
#5  Vector DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websiteaws.amazon.com/­simpledbgithub.com/­STSSoft/­STSdb4github.com/­weaviate/­weaviate
weaviate.io
github.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.aws.amazon.com/­simpledbweaviate.io/­developers/­weaviatewww.xtdb.com/­docs
DeveloperAmazonSTS Soft SCWeaviate B.V.Juxt Ltd.
Initial release2007201120192019
Current release4.0.8, September 20151.19, May 20231.19, September 2021
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2, commercial license availableOpen Source infocommercial license available with Weaviate EnterpriseOpen Source infoMIT License
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 languageC#GoClojure
Server operating systemshostedWindowsAll OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeyesyes, maps to GraphQL interfaceschema-free
Typing infopredefined data types such as float or datenoyes infoprimitive types and user defined types (classes)yes infostring, int, float, geo point, date, cross reference, fuzzy referencesyes, extensible-data-notation format
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 indexesyes infoAll columns are indexed automaticallynoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexedyes
SQL infoSupport of SQLnonoGraphQL is used as query languagelimited SQL, making use of Apache Calcite
APIs and other access methodsRESTful HTTP API.NET Client APIGraphQL query language
RESTful HTTP/JSON API
HTTP REST
JDBC
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C#
Java
JavaScript / TypeScript
Python
Clojure
Java
Server-side scripts infoStored proceduresnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyesyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Amazon SimpleDBSTSdbWeaviateXTDB infoformerly named Crux
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
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Key customersAll companies that have data. ​
» more
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon SimpleDBSTSdbWeaviateXTDB infoformerly named Crux
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Recent citations in the news

New SimpleDB Goodies: Enhanced Select, Larger Result Sets, Mandatory HTTPS | Amazon Web Services
20 May 2009, AWS Blog

Hands-on Tutorial for Getting Started with Amazon SimpleDB
28 May 2010, Packt Hub

Amazon DynamoDB Serves Trillions Of Requests Per Month While Counterpart SimpleDB Is No Longer A Listed Product On AWS
12 November 2013, TechCrunch

Amazon SimpleDB Management in Eclipse | AWS News Blog
22 July 2009, AWS Blog

Amazon Goes Back to the Future With 'NoSQL' Database
19 January 2012, WIRED

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Build enterprise-ready generative AI solutions with Cohere foundation models in Amazon Bedrock and Weaviate vector ...
24 January 2024, AWS Blog

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8 February 2024, Datanami

Weaviate Partners with Snowflake to Bring Secure GenAI to Snowpark Container Services
9 February 2024, AiThority

Foley Represents Cortical Ventures in $50M Series B Round for Weaviate
17 December 2023, Foley & Lardner LLP

Getting Started with Weaviate: A Beginner's Guide to Search with Vector Databases
18 July 2023, Towards Data Science

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