MongoDB launches Stitch, a new backend as a service product, and Mongo Charts, coming fall; says Atlas now runs on Microsoft Azure and Google's Cloud Platform
MongoDB is hosting its annual developer conference in Chicago this week and no good developer conference would be complete without a few product launches.
Context & Ripple Effects
MongoDB is using its Chicago developer conference to widen the funnel around Atlas: Stitch turns the database into a backend-as-a-service for app developers, Mongo Charts adds a visualization layer coming this fall, and Atlas itself now runs on Azure and Google Cloud rather than AWS alone. It is a deliberate move up the stack and out across clouds at once.
The multi-cloud announcement sets up the pattern the company has followed since: doubling down on Atlas as the core business, including the $68M acquisition of hosting provider MLab the following year to fold more managed-database customers into it.
First-order effects
- App developers get a managed backend (Stitch) and analytics (Mongo Charts) bundled with the database, reducing the need to assemble separate services around Atlas.
- Atlas customers locked to AWS can now run workloads on Microsoft Azure and Google Cloud, putting MongoDB directly alongside each hyperscaler's own first-party database offerings.
Second-order effects
- Running on all three clouds makes MongoDB simultaneously a partner and a competitor to AWS, Azure, and Google — a tension that later showed up in its aggressive poaching of eight senior AWS executives for product and developer-relations roles.
- Mongo Charts enters territory owned by standalone BI and dashboarding vendors, who now face a database vendor giving away visualization as part of the data platform.
Third-order effects
- If the pattern holds, database vendors consolidate into full application platforms — storage, backend logic, and analytics sold as one subscription — squeezing point-tool providers at each layer.
- Multi-cloud availability becomes table stakes for infrastructure software, weakening any single hyperscaler's ability to use compute pricing or exclusivity as leverage over ISVs built on its rivals.
The trend: Database companies are evolving from storage engines into multi-cloud application platforms, using breadth across AWS, Azure, and Google Cloud as both growth engine and insurance against hyperscaler dependence.