MongoDB Enterprise Advanced with IBM

Automate administration, stay on top of database performance and unlock opportunities to turn data into value

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Open source-based data management

Build apps faster and distribute data to where it needs to be, with the freedom to run anywhere. MongoDB Enterprise Advanced with IBM provides enterprise tooling to support mission-critical, highly secure and always-on deployments. Promote operational visibility and control. Automate administration and stay on top of database performance. Make running MongoDB simple. Unlock opportunities to turn data into value.

Read the solution brief
Develop faster

Ship and iterate three to five times faster with a document data model and a unified query interface.

Scale further

Meet your performance SLAs in any environment, whether it’s your first customer or 20 million users.

Ensure resiliency

Meet availability, security, and compliance requirements for mission-critical workloads.

Feature spotlight

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Improved support for time series data

Time series collections now include secondary and compound measurement indexes, as well as better query efficiency and sorting operations.

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New capabilities to support change streams and event driven architectures

Users can now retrieve the before and after state of an entire document. Support for data definition language (DDL) operations such as creating and dropping indexes and collections so you can react to database events in addition to data changes

People, coding and programming in software development on computer
Data security

Administrators can now compress and encrypt audit events before they are written to disk, leveraging their own KMIP-compliant key management system.

Woman using smartphone against blue coloured illuminated LED digital display
Improved support for time series data

Time series collections now include secondary and compound measurement indexes, as well as better query efficiency and sorting operations.

Man programming in the computer
New capabilities to support change streams and event driven architectures

Users can now retrieve the before and after state of an entire document. Support for data definition language (DDL) operations such as creating and dropping indexes and collections so you can react to database events in addition to data changes

People, coding and programming in software development on computer
Data security

Administrators can now compress and encrypt audit events before they are written to disk, leveraging their own KMIP-compliant key management system.

Featured product

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IBM Cloud Pak for Data

The next generation of IBM Cloud Pak for Data provides a data fabric for faster, trusted AI outcomes. Connect the right data, at the right time, to the right people, from anywhere it’s needed. Use one fully managed experience across hybrid cloud to ingest, explore, prepare, manage, govern and serve petabyte-scale data for business-ready AI.

MongoDB use cases

Mainframe augmentation

Offload key applications from the mainframe to MongoDB at your own pace. Maintain your core systems at lower cost and risk.

Single view of anything

Spot opportunities through a single view of customers, products, assets, and so forth. Manage risk and exposure through better insight.

IoT

Handle large volumes of data, scale horizontally or vertically, and support time series data. Handle and blend IoT and operational data in real-time.

The MongoDB AI Applications Program (MAAP)

MAAP helps organizations rapidly build and deploy modern applications enriched with AI technology at enterprise scale.

Resources

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Get started with MongoDB
MongoDB is a document database designed for ease of application development and scaling.
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Secure MongoDB Enterprise
Simplify your MongoDB database deployment in your own environment.
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Mainframe modernization
Make critical mainframe data available for modern mobile and web applications with MongoDB and IBM Z systems.
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MongoDB AI Applications Program (MAAP)
MAAP helps organizations rapidly build and put applications into production with advanced AI capabilities by providing them with reference architectures and an end-to-end technology stack.

The data leader’s guide to leverage the right databases for applications, analytics and generative AI.

Explore the data guide
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Schedule a one-on-one consultation and build your data-driven apps faster