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DBMS > Dolt vs. Microsoft Access vs. TigerGraph vs. Weaviate

System Properties Comparison Dolt vs. Microsoft Access vs. TigerGraph vs. Weaviate

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Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonTigerGraph  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaMicrosoft 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.)A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSRelational DBMSGraph DBMSVector DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.93
Rank#194  Overall
#90  Relational DBMS
Score93.76
Rank#12  Overall
#8  Relational DBMS
Score1.44
Rank#152  Overall
#14  Graph DBMS
Score1.48
Rank#149  Overall
#8  Vector DBMS
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
www.microsoft.com/­en-us/­microsoft-365/­accesswww.tigergraph.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.dolthub.comdeveloper.microsoft.com/­en-us/­accessdocs.tigergraph.comweaviate.io/­developers/­weaviate
DeveloperDoltHub IncMicrosoftWeaviate B.V.
Initial release2018199220172019
Current release1902 (16.0.11328.20222), March 20191.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoBundled with Microsoft OfficecommercialOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++C++Go
Server operating systemsLinux
macOS
Windows
Windows infoNot a real database server, but making use of DLLsLinux
Data schemeyesyesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyesyes 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.nonono
Secondary indexesyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesyes infobut not compliant to any SQL standardSQL-like query language (GSQL)GraphQL is used as query language
APIs and other access methodsCLI Client
HTTP REST
ADO.NET
DAO
ODBC
OLE DB
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C++
Java
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresyes infocurrently in alpha releaseyes infosince Access 2010 using the ACE-engineyesno
Triggersyesyes infosince Access 2010 using the ACE-enginenono
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.noneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integrityyesyesyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infobut no files for transaction loggingACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes 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.noyes
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupno infoa simple user-level security was built in till version Access 2003Role-based access controlAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
DoltMicrosoft AccessTigerGraphWeaviate
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...
» more
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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More resources
DoltMicrosoft AccessTigerGraphWeaviate
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Recent citations in the news

Dolt- A Version Controlled Database
29 January 2024, iProgrammer

Dolt, a Relational Database with Git-Like Cloning Features
19 August 2020, The New Stack

Data Versioning at Scale: Chaos and Chaos Management
10 February 2023, InfoQ.com

Top Data Version Control Tools for Machine Learning Research in 2023
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11 November 2023, CybersecurityNews

Access Migration to Power Apps and Dataverse is released to General Availability
11 May 2022, Microsoft

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16 February 2024, Offshore magazine

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How TigerGraph CoPilot enables graph-augmented AI
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Vector database startup Weaviate debuts ‘AI workbench’ and flexible storage tiers
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Weaviate Enhances Cloud Console with New Collections and Explorer Tools for AI Developers
31 July 2024, Datanami

StructuredRAG Released by Weaviate: A Comprehensive Benchmark to Evaluate Large Language Models’ Ability to Generate Reliable JSON Outputs for Complex AI Systems
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Build enterprise-ready generative AI solutions with Cohere foundation models in Amazon Bedrock and Weaviate vector database on AWS Marketplace
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