DBMS > Microsoft Azure Table Storage vs. MongoDB vs. Weaviate
System Properties Comparison Microsoft Azure Table Storage vs. MongoDB vs. Weaviate
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|Editorial information provided by DB-Engines
|Microsoft Azure Table Storage Xexclude from comparison
|MongoDB Xexclude from comparison
|Weaviate Xexclude from comparison
|A Wide Column Store for rapid development using massive semi-structured datasets
|One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure
|An AI-native realtime vector database engine that integrates scalable machine learning models.
|Primary database model
|Wide column store
|Secondary database models
Search engine integrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS Time Series Collections introduced in Release 5.0
Vector DBMS currently available in the MongoDB Atlas cloud service only
|6.0.7, June 2023
|1.19, May 2023
|License Commercial or Open Source
|Open Source MongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.
|Open Source commercial license available with Weaviate Enterprise
|Cloud-based only Only available as a cloud service
|no MongoDB available as DBaaS (MongoDB Atlas)
|DBaaS offerings (sponsored links) Database as a Service
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|MongoDB Atlas: Global multi-cloud database with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more.
|Server operating systems
|schema-free Although 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 predefined data types such as float or date
|yes string, integer, double, decimal, boolean, date, object_id, geospatial
|yes string, int, float, geo point, date, cross reference, fuzzy references
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.
|yes all data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
|SQL Support of SQL
|Read-only SQL queries via the MongoDB Atlas SQL Interface
|GraphQL is used as query language
|APIs and other access methods
|RESTful HTTP API
proprietary protocol using JSON
|GraphQL query language
RESTful HTTP/JSON API
|Supported programming languages
|Actionscript unofficial driver
Clojure unofficial driver
ColdFusion unofficial driver
D unofficial driver
Dart unofficial driver
Delphi unofficial driver
Groovy unofficial driver
Lisp unofficial driver
Lua unofficial driver
MatLab unofficial driver
PowerShell unofficial driver
Prolog unofficial driver
R unofficial driver
Smalltalk unofficial driver
|Server-side scripts Stored procedures
|yes in MongoDB Atlas only
|Partitioning methods Methods for storing different data on different nodes
|Sharding Implicit feature of the cloud service
|Sharding Partitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.
|Replication methods Methods for redundantly storing data on multiple nodes
|yes implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
|Multi-Source deployments with MongoDB Atlas Global Clusters
|MapReduce Offers an API for user-defined Map/Reduce methods
|Consistency concepts Methods to ensure consistency in a distributed system
|Eventual Consistency can be individually decided for each read operation
Immediate Consistency default behaviour
|Foreign keys Referential integrity
|no typically not used, however similar functionality with DBRef possible
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data
|Multi-document ACID Transactions with snapshot isolation
|Concurrency Support for concurrent manipulation of data
|Durability Support for making data persistent
|yes optional, enabled by default
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.
|yes In-memory storage engine introduced with MongoDB version 3.2
|User concepts Access control
|Access rights based on private key authentication or shared access signatures
|Access rights for users and roles
OpenID Connect Discovery
|More information provided by the system vendor
|Microsoft Azure Table Storage
|MongoDB provides an integrated suite of cloud database and data services to accelerate...
|Weaviate is an open source vector database that is robust, scalable, cloud-native,...
|Built around the flexible document data model and unified API, MongoDB is a developer...
|Flexible deployment - Free, open source or fully-managed cloud vector database service...
|Typical application scenarios
|AI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
|As a database supporting the development of generative AI and semantic search applications...
|ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
|All companies that have data.
|Hundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
|As of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
|Licensing and pricing models
|MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
|Weaviate is open-source, and free to use. Weaviate is also available as a fully managed...
We invite representatives of system vendors to contact us for updating and extending the system information,
|Related products and services
|Studio 3T: The world's favorite IDE for working with MongoDB
CData: Connect to Big Data & NoSQL through standard Drivers.
Navicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development.
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|Microsoft Azure Table Storage
|DB-Engines blog posts
Snowflake is the DBMS of the Year 2021
Weaviate, an ANN Database with CRUD support How to use Azure Table storage in .Net Office Licensing Service and Azure Cosmos DB part 2: Improved performance and availability How to write data to Azure Table Store with an Azure Function Microsoft confirms Azure outage was human error A technical overview of Azure Cosmos DB provided by Google News Amazon DocumentDB (with MongoDB compatibility) now supports Partial Indexes Does This Valuation Of MongoDB, Inc. (NASDAQ:MDB) Imply Investors Are Overpaying? Unlock MongoDB's Full Potential: Ensuring Post-Upgrade Success Federated Hermes Inc. Increases Stake in MongoDB, Inc. (NASDAQ:MDB) MongoDB, Inc. Announces Date of Fourth Quarter and Full Year Fiscal 2024 Earnings Call provided by Google News Weaviate Partners with Snowflake to Bring Secure GenAI to Snowpark Container Services Getting Started with Weaviate: A Beginner's Guide to Search with Vector Databases Weaviate reels in $50M for its AI-optimized vector database provided by Google News
How to use Azure Table storage in .Net
Office Licensing Service and Azure Cosmos DB part 2: Improved performance and availability
How to write data to Azure Table Store with an Azure Function
Microsoft confirms Azure outage was human error
A technical overview of Azure Cosmos DB
provided by Google News
Amazon DocumentDB (with MongoDB compatibility) now supports Partial Indexes
Does This Valuation Of MongoDB, Inc. (NASDAQ:MDB) Imply Investors Are Overpaying?
Unlock MongoDB's Full Potential: Ensuring Post-Upgrade Success
Federated Hermes Inc. Increases Stake in MongoDB, Inc. (NASDAQ:MDB)
MongoDB, Inc. Announces Date of Fourth Quarter and Full Year Fiscal 2024 Earnings Call
provided by Google News
Weaviate Partners with Snowflake to Bring Secure GenAI to Snowpark Container Services
Getting Started with Weaviate: A Beginner's Guide to Search with Vector Databases
Weaviate reels in $50M for its AI-optimized vector database
provided by Google News
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