DBMS > MongoDB vs. Oracle Berkeley DB vs. Qdrant
System Properties Comparison MongoDB vs. Oracle Berkeley DB vs. Qdrant
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|Editorial information provided by DB-Engines
|MongoDB Xexclude from comparison
|Oracle Berkeley DB Xexclude from comparison
|Qdrant Xexclude from comparison
|One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure
|Widely used in-process key-value store
|A high-performance vector database with neural network or semantic-based matching
|Primary database model
|Key-value store supports sorted and unsorted key sets
Native XML DBMS in the Oracle Berkeley DB XML version
|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
|Oracle originally developed by Sleepycat, which was acquired by Oracle
|6.0.7, June 2023
|18.1.40, May 2020
|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
|Open Source Apache Version 2.0
|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.
|C, Java, C++ (depending on the Berkeley DB edition)
|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.
|Typing predefined data types such as float or date
|yes string, integer, double, decimal, boolean, date, object_id, geospatial
|Numbers, Strings, Geo, Boolean
|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 only with the Berkeley DB XML edition
|yes Keywords, numberic ranges, geo, full-text
|SQL Support of SQL
|Read-only SQL queries via the MongoDB Atlas SQL Interface
|yes SQL interfaced based on SQLite is available
|APIs and other access methods
proprietary protocol using JSON
RESTful HTTP/JSON API OpenAPI 3.0
|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
|.Net Figaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others Third-party libraries to manipulate Berkeley DB files are available for many languages
|Server-side scripts Stored procedures
|yes in MongoDB Atlas only
|yes only for the SQL API
|Partitioning methods Methods for storing different data on different nodes
|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
|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
|Eventual Consistency, tunable consistency
|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 for users and roles
|More information provided by the system vendor
|Oracle Berkeley DB
|MongoDB provides an integrated suite of cloud database and data services to accelerate...
|Built around the flexible document data model and unified API, MongoDB is a developer...
|Typical application scenarios
|AI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
|ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
|Hundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
|Licensing and pricing models
|MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
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|Related products and services
|CData: Connect to Big Data & NoSQL through standard Drivers.
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|Oracle Berkeley DB
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