Frequently Asked Questions

Mezocliq is a data-first platform for application development that supports rapid development, customization, and updating of enterprise applications. Mezocliq’s platform gathers together data from multiple sources into a secure, centralized data hub, allowing even the most complex application workflows to be built and deployed quickly.

Applications built on the Mezocliq platform are also easy to update and maintain.  Most application updates, even ones involving multiple data classes and complex workflows, can be managed by changing an application’s configuration.  If a coding change is needed, consistently named data variables and easily understandable business processes keep the task simple and quick.

The Mezocliq platform is ideally suited for applications that manage complex data and workflows.  For example, applications that need to aggregate and validate data distributed across multiple sources, or applications that need to manage a process workflow across multiple back-end applications.

Also, applications built on the Mezocliq platform can be adapted quickly to changes in data inputs or workflows because of the platform’s data management and governance capabilities.  New processes can be configured in minutes and application behavior can be modified by changing configuration parameters.

Mezocliq focuses on tackling the challenging issues that emerge in the back-end of complex enterprise applications.  Mezocliq handles the complexity of ingesting, cleansing and managing data from multiple sources, and supports application workflows with multiple conditionalities for handling that data.

Our enterprise-scale data hub provides a common data model for creating applications that handle both simple upfront processes or more complex back-end workflows.  Our process engine and components handle the majority of common workflows found in most enterprise applications.

With these two core features, the Mezocliq platform can provide powerful data and process governance.  For example, data checks and security can be managed by table row or column, required relationships can be enforced and validated, and workflow governance can ensure the integrity of approvals and permissions.

At the core of the Mezocliq platform is a unique data model, based on years of research, that provides an exceptionally high degree of consistency across all applications built on the Mezocliq platform. 

The data model ensures data accuracy for both operational and analytic applications. All data is checked and validated before it enters the repository, so applications can reliably receive trustworthy and clean data.

Coupled with the data model is a flexible set of business rules that cover a wide range of workflows, both generic and industry-specific, involving data, documents, messages, entities, and roles. Entire applications can be developed or modified by configuring parameters rather than writing code.

Typical no-code platforms are well-suited to handle simple data requests and workflows. Applications that manage customer service requests or route job applications are well suited for no-code development tools.

Applications that require more complex rules and data analysis can often exceed the capabilities of no-code tools. For example, a typical asset management application can have 15 asset classes, each with a unique data structure.  The complexity of even just ingesting this data can overcome the capabilities of most no-code platforms.

The Mezocliq Platform supports the creation and enforcement of a comprehensive set of rules and policies for data used by all applications.  A tightly governed core data model enforces a structured taxonomy of variable names to avoid inconsistencies across applications, especially when features are updated or added.

Data validation rules and security parameters ensure record-level data accuracy and reliability over time.  In-memory validations detect missing or invalid fields and enforce workflow-inferred relationships prior to a save.

Mezocliq also provides seamless integration with outside systems and data sources.  External data is converted automatically to the proper internal variable/value pairing, which automatically captures inconsistencies and errors at the point of data ingestion.

Mezocliq is architected to support the big data requirements of AI/ML applications.  All data managed in Mezocliq’s data repository is stored simultaneously across multiple databases with real-time synchronization.  Data queries and analyses are directed automatically to the most ideally suited database.

Mezocliq’s in-memory rule processing ensures accurate and fast results from complex data analysis.  Computations can be completed in real-time, with instant variable availability, or overnight for more complex data operations and analysis

Mezocliq is based on a data-centric approach to application development.  The data hub abstracts variables found across processes and data sources, allowing comprehensive, inter-process data validation.

Data security parameters and validation rules are encoded in the core data model. Edge use cases, for complex products or multi-level entities, can be pre-configured along with pre-mapped conversions.  These checks are enforced at real-time and during batch operations.

Mezocliq makes use of a hybrid database architecture for optimal performance and scalability.  Analytic data operations are handled via Hadoop, data aggregations are managed with Clickhouse, and Cassandra is used to maintain a real-time golden copy of all saved data

By simultaneously combining multiple database systems, Mezocliq is able to support real-time queries and analytics for even the largest data sets.  Both data-intensive dashboard operations and in-memory data validations can be handled without losing performance.

Mezocliq comes pre-configured for data feeds from all major data providers such as Bloomberg, IDC, Reuters, S&P, Moody’s, Factset, and Virtus.  Integrations with major accounting systems, order management systems and employee management systems are also handled out-of-the-box.

For internal systems that require proprietary or custom integrations, Mezocliq comes equipped with a robust API for handling data files and streaming data.  Connections can be established via FTP, JDBC/ODBC or web services, including protocols for encrypted data.




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