Migrate MongoDB to Azure Cosmos DB
Enable simpler integrations with reliable, flexible, and cost-effective cloud resources
The cloud has evolved, and with it, priorities have shifted.
While the common value propositions of the cloud, such as cost-effective resources with on-demand scalability, have remained largely unchanged over the years, more organizations are migrating their databases to the cloud than ever before. In fact, according to Gartner, 75% of all databases will be deployed or migrated to the cloud by 2022.
Two key drivers for this include taking advantage of the pay-as-you-go consumption model enabled by the cloud, as well as capturing the benefits of cloud-enabled analytics solutions.
Why migrate MongoDB to Azure Cosmos DB’s API for MongoDB?
Not only does Azure Cosmos DB run on Microsoft's flexible, scalable, and cost-effective cloud resources, it also enables easy integration with other Microsoft and partner-developed cloud solutions. Microsoft makes integrating third-party solutions and services straightforward as well, helping to provide organizations with a quick, simple migration process.
Microsoft Azure Cosmos DB’s API for MongoDB also offers:
- Virtually unlimited autoscaling
- Millisecond latency with high availability
- Autoindexing to eliminate the need for schema and index management
- Tight integrations with other Microsoft and Azure services
As a longstanding Microsoft Gold Partner, Neal Analytics is in a unique position to help organizations achieve a rapid time-to-value via a quick migration. Additionally, with our AI and Machine Learning expertise, Neal Analytics can help organizations do even more with their Azure database by enabling cutting edge use cases.
Want to learn more? Fill out the form to download our Azure Cosmos DB migration brochure.
Neal Analytics is a cloud, data, and AI Microsoft Gold consulting partner supporting data-driven transformation initiatives from data strategy to solution design, architecture, development, operationalization, and support.
Our expertise spans across migration and modernization, data science, AI/ML, IoT, edge computing, BI, application development, and RPA.
With a focus on right-sized and pragmatic approaches towards digital transformation, Neal leverages Agile methodologies and flexible engagement models to deliver measurable customer value.