Release notes, user guides, API references, tutorials, and more…
Introduction to the FintechOS ecosystem.
Core security, maintenance, and administration.
Develop, extend, and deploy customized enterprise apps.
Out-of-the-box solutions for your digital transformation.
Smart building blocks for fast low-code development.
Integrate and interact with external systems.
Interested in discovering Genie – the new version of FintechOS Studio? Watch the movie to start your learning journey.
FintechOS can be deployed both in the cloud as an IT SaaS solution and on premises.
To ensure higher system scalability and availability, we recommend you to deploy it in the cloud using one of the enterprise cloud solutions that FintechOS is compatible with: Microsoft Azure, Amazon Web Services (AWS) Cloud or IBM Cloud.
The FintechOS platform provides you with a RESTful API Service. The communication between your systems and the FintechOS API is encrypted using TLS.
Your application can use basic authorization (user name / password) or OAauth 1.2 before being allowed to communicate with the FintechOS API, ensuring that the users are identified and authorized to do the requests.
Microsoft's SQL Server can apply Always Encrypted State on data stored in SQL Server databases. This allows clients to encrypt sensitive data inside client applications and never reveal the encryption keys to the Database Engine. As a result, Always Encrypted provides a separation between those who own the data (and can view it) and those who manage the data (but should have no access). This allows organizations to encrypt data at rest and in use for storage in Azure or on-premises.
Dynamic Data Masking limits sensitive data exposure by masking it to non-privileged users. It can be used to simplify the design and coding of security in your application. Dynamic data masking helps prevent unauthorized access to sensitive data by enabling customers to designate how much of the sensitive data to reveal with minimal impact on the application layer.
Integrating the SQL Server 2016 Enterprise with SQL Server Integration Services enables the FintechOS platform to extract, load, transform and aggregate data from multiple data sources.
Yes. You can import / export large amounts of data to / from FintechOS integrating through ETL or Data Lakes processes for d2b integration. You can integrate these processes using one the following technologies:
• SQL Server Integration Services packages
• Power Query
• Linked servers
Yes. The platform is very flexible and allows extensive configuration. You can use FintechOS Studio, the integrated no-code configuration tool, to extend the data model, business rules, add coverages and coverages attributes, etc.
Yes. A product defined within FintechOS Product Factory can be used in numerous journeys or processes. You can also easily a create a product and maintain versions of it, as well as clone it to create a new one easier.
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