DBMS > 4D vs. MongoDB vs. SAP HANA
System Properties Comparison 4D vs. MongoDB vs. SAP HANA
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|Editorial information provided by DB-Engines
|4D former name: 4th Dimension Xexclude from comparison
|MongoDB Xexclude from comparison
|SAP HANA Xexclude from comparison
|Application development environment with integrated database management system
|One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure
|In-memory, column based data store. Available as appliance or cloud service
|Primary database model
|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
Graph DBMS with SAP Hana, Enterprise Edition
|v20, April 2023
|6.0.7, June 2023
|2.0 SPS07 (April 4, 2023), April 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.
|Cloud-based only Only available as a cloud service
|no MongoDB available as DBaaS (MongoDB Atlas)
|no also available as a cloud based service
|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
|Appliance or cloud-service
|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
|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.
|SQL Support of SQL
|yes close to SQL 92
|Read-only SQL queries via the MongoDB Atlas SQL Interface
|APIs and other access methods
RESTful HTTP API by using 4D Mobile
proprietary protocol using JSON
|Supported programming languages
|4D proprietary IDE
|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 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
|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
|Users and groups
|Access rights for users and roles
|More information provided by the system vendor
|4D former name: 4th Dimension
|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...
We invite representatives of system vendors to contact us for updating and extending the system information,
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|4D former name: 4th Dimension
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