InterSystems HealthShare vs. MongoDB

InterSystems HealthShare is an extremely powerful platform for which we have not found a need it cannot meet. Granted, some particular complex solutions may require a bit more 'engineering' level talent than some healthcare organizations staff in their traditional 'interface departments'. Organizations that make the investment in InterSystems AND their staff through training and empowerment of bettering their career will rapidly reap the rewards of a robust integration foundation with support for rapidly increasing the organization's ability to action their data using analytics, natural language processing, machine learning and business process orchestration. Through HealthShare, I have been able to harvest key business and clinical metrics rapidly from plain text blobs into discrete data elements, empowering our analytic users, reducing manual data entry and bettering the lives of our most important customer - the patient.

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If asked by a colleague I would highly recommend MongoDB. MongoDB provides incredible flexibility and is quick and easy to set up. It also provides extensive documentation which is very useful for someone new to the tool. Though I've used it for years and still referenced the docs often. From my experience and the use cases I've worked on, I'd suggest using it anywhere that needs a fast, efficient storage space for non-relational data. If a relational database is needed then another tool would be more apt.

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• A wealth of specific integration adaptors provided with the product, allowing for rapid low-code integrations for a myriad of use-cases.
• Most InterSystems provided functionality delivered with the product can be review and extended to allow for rapid development of custom solutions for adaptors and tools not met out-of-the-box.
• Continual timely releases ensure organizations can keep up to date with the rapidly changing healthcare integration space, while trusting that upgrades do not mean months of testing and validation. Most major upgrades can be completed within a few weeks of simple unit testing.

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• Being a JSON language optimizes the response time of a query, you can directly build a query logic from the same service
• You can install a local, database-based environment rather than the non-relational real-time bases such a firebase does not allow, the local environment is paramount since you can work without relying on the internet.
• Forming collections in Mango is relatively simple, you do not need to know of query to work with it, since it has a simple graphic environment that allows you to manage databases for those who are not experts in console management.

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• Improvements to built in REST, SOAP and FHIR adapters to allow for low-code solutions against modern integration web service APIs.
• Terminology engine improvements to provide auto-mapping against the plethora of terminology datasets required by FHIR and US CDI standards.
• Tighter integration with Git/GitHub and similar platforms to enable Continuous Integration and Development models out of the box not only for general developers but healthcare integrators.

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• An aggregate pipeline can be a bit overwhelming as a newcomer.
• There's still no real concept of joins with references/foreign keys, although the aggregate framework has a feature that is close.
• Database management/dev ops can still be time-consuming if rolling your own deployments. (Thankfully there are plenty of providers like Compose or even MongoDB's own Atlas that helps take care of the nitty-gritty.

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I am looking forward to increasing our SaaS subscriptions such that I get to experience global replica sets, working in reads from secondaries, and what not. Can't wait to be able to exploit some of the power that the "Big Boys" use MongoDB for.

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NoSQL database systems such as MongoDB lack graphical interfaces by default and therefore to improve usability it is necessary to install third-party applications to see more visually the schemas and stored documents. In addition, these tools also allow us to visualize the commands to be executed for each operation.

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Finding support from local companies can be difficult. There were times when the local company could not find a solution and we reached a solution by getting support globally. If a good local company is found, it will overcome all your problems with its global support.

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While the setup and configuration of MongoDB is pretty straight forward, having a vendor that performs automatic backups and scales the cluster automatically is very convenient. If you do not have a system administrator or DBA familiar with MongoDB on hand, it's a very good idea to use a 3rd party vendor that specializes in MongoDB hosting. The value is very well worth it over hosting it yourself since the cost is often reasonable among providers.

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InterSystems HealthShare is not your standard integration platform. While the Health Connect product could be construed as an 'interface engine', it is so much more. The capabilities to extend the engine using low code and visual business process modeling ensures a wealth of use cases not covered by a traditional interface engine. Furthermore, while not a direct competitor of Epic (Epic is in fact an InterSystems customer themselves), we are far more comfortable relying on the robustness of the HealthShare platform for complex integrations, data modeling and data normalization using HealthShare than just Bridges and Interconnect alone.

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We have [measured] the speed in reading/write operations in high load and finally select the winner = MongoDBWe have [not] too much data but in case there will be 10 [times] more we need Cassandra. Cassandra's storage engine provides constant-time writes no matter how big your data set grows. For analytics, MongoDB provides a custom map/reduce implementation; Cassandra provides native Hadoop support.

• Simple integration development time has been reduced from weeks to days.
• Complex integration development time has been reduced from months to weeks.
• On-call Support after-hours for the integration team has been nearly non-existent since the move to InterSystems, increasing employee retention and satisfaction as InterSystems 'just works'.
• Less need to purchase other products to implement complex integrations through web service APIs and SQL ETL processes - it can all be done with InterSystems.

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• Open Source w/ reasonable support costs have a direct, positive impact on the ROI (we moved away from large, monolithic, locked in licensing models)
• You do have to balance the necessary level of HA & DR with the number of servers required to scale up and scale out. Servers cost money - so DR & HR doesn't come for free (even though it's built into the architecture of MongoDB