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DBMS > Kinetica vs. Microsoft Access vs. MongoDB vs. Weaviate

System Properties Comparison Kinetica vs. Microsoft Access vs. MongoDB vs. Weaviate

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMongoDB  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsMicrosoft 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.)One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureA cloud-native, realtime vector search engine integrating scalable machine learning models
Primary database modelRelational DBMSRelational DBMSDocument storeSearch engine
Secondary database modelsSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.55
Rank#230  Overall
#110  Relational DBMS
Score146.50
Rank#9  Overall
#6  Relational DBMS
Score477.66
Rank#5  Overall
#1  Document stores
Score0.12
Rank#308  Overall
#19  Search engines
Websitewww.kinetica.comwww.microsoft.com/­en-us/­microsoft-365/­accesswww.mongodb.comgithub.com/­semi-technologies/­weaviate
weaviate.io
Technical documentationwww.kinetica.com/­docsdeveloper.microsoft.com/­en-us/­accessdocs.mongodb.com/­manualweaviate.io/­developers/­weaviate/­current
DeveloperKineticaMicrosoftMongoDB, IncSeMI Technologies B.V.
Initial release2012199220092017
Current release7.1, August 20211902 (16.0.11328.20222), March 20196.0.0, July 20221.0.3, January 2021
License infoCommercial or Open Sourcecommercialcommercial infoBundled with Microsoft OfficeOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenonono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C++C++Go
Server operating systemsLinuxWindows infoNot a real database server, but making use of DLLsLinux
OS X
Solaris
Windows
Data schemeyesyesschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.yes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes 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 indexesyesyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infobut not compliant to any SQL standardRead-only SQL queries via the MongoDB Connector for BIGraphQL is used as query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
proprietary protocol using JSONGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
Server-side scripts infoStored proceduresuser defined functionsyes infosince Access 2010 using the ACE-engineJavaScriptno
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infosince Access 2010 using the ACE-engineyes infoin MongoDB Atlas onlyno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Eventual Consistency
Foreign keys infoReferential integrityyesyesno infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infobut no files for transaction loggingMulti-document ACID Transactions with snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyes infooptional, enabled by defaultyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyes infoIn-memory storage engine introduced with MongoDB version 3.2no
User concepts infoAccess controlAccess rights for users and roles on table levelno infoa simple user-level security was built in till version Access 2003Access rights for users and rolesOpenID Connect Discovery
More information provided by the system vendor
KineticaMicrosoft AccessMongoDBWeaviate
Specific characteristicsNative and fully vectorized database across both GPUs and CPUs, with memory first...
» more
MongoDB’s application data platform provides developers a unified interface to power...
» more
Competitive advantagesBest in class geospatial and temporal analytics. Lockless architecture provides real-time...
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The MongoDB platform can be used by developers building transactional, operational,...
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Typical application scenariosAny application requiring (1) real time insights, (2) time series analysis (3) geospatial...
» more
Internet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
As a stand-alone vector search engine, or use one of the many modules (transformers,...
» more
Key customersCitibank, US Air Force, Softbank, OVO, Telkomsel, USPS, 2 of the top 3 US Telcos,...
» more
ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
A ll companies that have data. ​
» more
Market metricsThe largest IoT deployment in the world, NORAD, runs on Kinetica.
» more
200+ million downloads, over 1.5M Atlas database clusters under management handling...
» more
Licensing and pricing modelsAlways Free Tier in the Cloud, Pay-As-You-Go Consumption Based Pricing, and Portable...
» more
MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
Weaviate is open-source, and free to use. We also offer Fully managed Weaviate on...
» more

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More resources
KineticaMicrosoft AccessMongoDBWeaviate
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