DBMS > Hazelcast vs. MongoDB vs. UniData,UniVerse
System Properties Comparison Hazelcast vs. MongoDB vs. UniData,UniVerse
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|Editorial information provided by DB-Engines|
|Name||Hazelcast Xexclude from comparison||MongoDB Xexclude from comparison||UniData,UniVerse Xexclude from comparison|
|Description||A widely adopted in-memory data grid||One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure||MultiValue database and application server with SQL mapping layer and meta database capabilities|
|Primary database model||Key-value store||Document store||Multivalue DBMS|
|Secondary database models||Document store JSON support with IMDG 3.12||Spatial DBMS|
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
|Developer||Hazelcast||MongoDB, Inc||Rocket Software|
|Current release||5.3.2, August 2023||6.0.7, June 2023|
|License Commercial or Open Source||Open Source Apache Version 2; commercial licenses available||Open Source MongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.||commercial|
|Cloud-based only Only available as a cloud service||no||no MongoDB available as DBaaS (MongoDB Atlas)||no|
|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||All OS with a Java VM||Linux|
|Data scheme||schema-free||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.||schema-free|
|Typing predefined data types such as float or date||yes||yes string, integer, double, decimal, boolean, date, object_id, geospatial||optional|
|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 the object must implement a serialization strategy|
|SQL Support of SQL||SQL-like query language||Read-only SQL queries via the MongoDB Atlas SQL Interface||yes|
|APIs and other access methods||JCache|
RESTful HTTP API
proprietary protocol using JSON
|Java API JPA|
RESTful HTTP API
|Supported programming languages||.Net|
|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
Basic U2 Basic
|Triggers||yes Events||yes in MongoDB Atlas only||yes U2 Basic|
|Partitioning methods Methods for storing different data on different nodes||Sharding||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.||none|
|Replication methods Methods for redundantly storing data on multiple nodes||yes Replicated Map||Multi-Source deployments with MongoDB Atlas Global Clusters|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes||yes||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency or Eventual Consistency selectable by user Raft Consensus Algorithm||Eventual Consistency can be individually decided for each read operation|
Immediate Consistency default behaviour
|Foreign keys Referential integrity||no||no typically not used, however similar functionality with DBRef possible||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||one or two-phase-commit; repeatable reads; read commited||Multi-document ACID Transactions with snapshot isolation||ACID configurable|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes optional, enabled by default||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||yes In-memory storage engine introduced with MongoDB version 3.2|
|User concepts Access control||Role-based access control||Access rights for users and roles||Access rights according to SQL-standard and operating system based|
|More information provided by the system vendor|
|Specific characteristics||MongoDB provides an integrated suite of cloud database and data services to accelerate...|
|Competitive advantages||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...|
|Key customers||ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...|
|Market metrics||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,
|Related products and services|
|3rd parties||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.
Studio 3T: The world's favorite IDE for working with MongoDB
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