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DBMS > Amazon DynamoDB vs. Datastax Enterprise vs. Microsoft Access vs. UniData,UniVerse vs. Weaviate

System Properties Comparison Amazon DynamoDB vs. Datastax Enterprise vs. Microsoft Access vs. UniData,UniVerse vs. Weaviate

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonUniData,UniVerse  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)MultiValue database and application server with SQL mapping layer and meta database capabilitiesAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelDocument store
Key-value store
Wide column storeRelational DBMSMultivalue DBMSVector DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score77.72
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score7.07
Rank#57  Overall
#4  Wide column stores
Score107.93
Rank#11  Overall
#8  Relational DBMS
Score3.93
Rank#89  Overall
#2  Multivalue DBMS
Score2.00
Rank#138  Overall
#4  Vector DBMS
Websiteaws.amazon.com/­dynamodbwww.datastax.com/­products/­datastax-enterprisewww.microsoft.com/­en-us/­microsoft-365/­accesswww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidatagithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.datastax.comdeveloper.microsoft.com/­en-us/­accessdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidataweaviate.io/­developers/­weaviate
DeveloperAmazonDataStaxMicrosoftRocket SoftwareWeaviate B.V.
Initial release20122011199219852019
Current release6.8, April 20201902 (16.0.11328.20222), March 20191.19, May 2023
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialcommercial infoBundled with Microsoft OfficecommercialOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJavaC++CGo
Server operating systemshostedLinux
OS X
Windows infoNot a real database server, but making use of DLLsAIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeschema-freeyesschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyesoptionalyes infostring, int, float, geo point, date, cross reference, fuzzy references
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 indexesyesyesyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnoSQL-like DML and DDL statements (CQL); Spark SQLyes infobut not compliant to any SQL standardyesGraphQL is used as query language
APIs and other access methodsRESTful HTTP APIProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
ADO.NET
DAO
ODBC
OLE DB
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
GraphQL query language
RESTful HTTP/JSON API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
Basic infoU2 Basic
C
Java
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnonoyes infosince Access 2010 using the ACE-engineyesno
Triggersyes infoby integration with AWS Lambdayesyes infosince Access 2010 using the ACE-engineyes infoU2 Basicno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infono "single point of failure"nonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesconfigurable replication factor, datacenter aware, advanced replication for edge computingnoneSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual Consistency
Foreign keys infoReferential integritynonoyesnono
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 regionno infoAtomicity and isolation are supported for single operationsACID infobut no files for transaction loggingACID infoconfigurableno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users can be defined per objectno infoa simple user-level security was built in till version Access 2003Access rights according to SQL-standard and operating system basedAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Amazon DynamoDBDatastax EnterpriseMicrosoft AccessUniData,UniVerseWeaviate
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Weaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Flexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
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As a database supporting the development of generative AI and semantic search applications...
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Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
All companies that have data. ​
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
As of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsAnnual subscription
» more
Weaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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More resources
Amazon DynamoDBDatastax EnterpriseMicrosoft AccessUniData,UniVerseWeaviate
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