DBMS > Infobright vs. MongoDB vs. Postgres-XL
System Properties Comparison Infobright vs. MongoDB vs. Postgres-XL
Please select another system to include it in the comparison.
|Editorial information provided by DB-Engines|
|Name||Infobright Xexclude from comparison||MongoDB Xexclude from comparison||Postgres-XL Xexclude from comparison|
|Description||High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontend||One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure||Based on PostgreSQL enhanced with MPP and write-scale-out cluster features|
|Primary database model||Relational DBMS||Document store||Relational DBMS|
|Secondary database models||Spatial DBMS|
Search engine integrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS Time Series Collections introduced in Release 5.0
|Developer||Ignite Technologies Inc.; formerly InfoBright Inc.||MongoDB, Inc|
|Initial release||2005||2009||2014 since 2012, originally named StormDB|
|Current release||6.0.1, August 2022||10 R1, October 2018|
|License Commercial or Open Source||commercial The open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016||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 Mozilla public license|
|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|
Providers of DBaaS offerings, please contact us to be listed.
|ScaleGrid for MongoDB Database: Fully managed hosting for MongoDB Database on a wide variety of cloud providers and On-Premises. Automate your management, scaling and backups through one centralized platform.|
|Server operating systems||Linux|
|Data scheme||yes||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|
|Typing predefined data types such as float or date||yes||yes string, integer, double, decimal, boolean, date, object_id, geospatial||yes|
|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.||no||yes XML type, but no XML query functionality|
|Secondary indexes||no Knowledge Grid Technology used instead||yes||yes|
|SQL Support of SQL||yes||Read-only SQL queries via the MongoDB Connector for BI||yes distributed, parallel query execution|
|APIs and other access methods||ADO.NET|
|proprietary protocol using JSON||ADO.NET|
native C library
streaming API for large objects
|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
|Triggers||no||yes in MongoDB Atlas only||yes|
|Partitioning methods Methods for storing different data on different nodes||none||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.||horizontal partitioning|
|Replication methods Methods for redundantly storing data on multiple nodes||Source-replica replication||Multi-Source deployments with MongoDB Atlas Global Clusters|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||yes||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Eventual Consistency|
Immediate Consistency can be individually decided for each write operation
|Foreign keys Referential integrity||no||no typically not used, however similar functionality with DBRef possible||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||Multi-document ACID Transactions with snapshot isolation||ACID MVCC|
|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||no|
|User concepts Access control||fine grained access rights according to SQL-standard exploiting MySQL or PostgreSQL frontend capabilities||Access rights for users and roles||fine grained access rights according to SQL-standard|
More information provided by the system vendor
We invite representatives of system vendors to contact us for updating and extending the system information,
|Related products and services|
|3rd parties||Navicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development.|
CData: Connect to Big Data & NoSQL through standard Drivers.
Percona: Database problems? Not on your watch.
Databases run better with Percona.
Studio 3T: The world's favorite IDE for working with MongoDB
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|DB-Engines blog posts|
Snowflake is the DBMS of the Year 2021
|Recent citations in the news|
MongoDB, Inc. (NASDAQ:MDB) Shares Acquired by Bank Julius ...
Why Datadog, MongoDB, and CrowdStrike Were Sinking Today
Cloud-Computing Stocks Rally as Microsoft Results Bring Relief ...
Premarket Mover: Mongodb Inc (MDB) Down 2.44%
Satori Expands Support to NoSQL Databases, Streamlines Secure ...
provided by Google News
Building a scalable PostgreSQL solution
provided by Google News
Database Performance Consultant - MongoDB
Share this page