TINTIN: A Tool for INcremental INTegrity checking

Summary of the technology

A tool for efficiently implementing business rules validation, in any database system, to ensure the quality of the data.

Universitat Politècnica de Catalunya - UPC
Universitat Politècnica de Catalunya - UPC

The Challenge


Nowadays, data is gaining more importance than ever. For instance, data is driving the decisions of the business world (Business Intelligence), it is capturing the production state of the Industry (Industry 4.0), it is essential for automatizing administration (digital administration), and it is the key for new trends affecting our lives (from Smart mobility, to digital Healthcare).
Still, ensuring the quality of the data is a manual process. That is, engineers from all the previous domains, in order to guarantee whether their data complies with any business rules, must spend time and dedication to manually creating validation processes for such rules. This is a time-consuming and error prone task that is increasing the costs of producing any software, when not compromising its quality, over the whole world, affecting, among others, all the previous cited sectors.

The Technology


TINTIN is a tool for automatically ensuring the quality of the data, by means of efficiently checking that it complies with the required business rules, without programmatic efforts. On the one hand, TINTIN creates a code that captures user updates. On the other, it rewrites the business rules into queries that join the captured updates. In this way, TINTIN builds incremental queries: that is, queries that only take into account the last update applied to check whether some business rule has been violated. This incremental capability is the key for ensuring the efficiency of TINTIN.

Current stage of development


Right now, TINTIN is a proof of concept tool that reads a set of business rules that data must satisfy, currently specified as SQL assertions, and generates some code, currently under the form of SQL triggers and procedures, that automatically guarantees that any update on the data satisfies the constraints. All the code generated is automatically installed in the database without human intervention.

Applications and Target Market

  • Applicable to any domain: any industrial sector using data can benefit from it.E.g.: Business Intelligence, Industry 4.0, digital administration, Smart mobility, Smart healthcare, etc.
  • Applicable to any database system: the technology can be adapted to any system providing first-order queries (e.g. queries similar to SQL or SPARQL).

Innovative advantages

  • Efficiency: the revalidation of the business rules is only applied when some data update might violate them. Furthermore, it only revalidates the rule that can have been violated, and only for the modified part of the data that may affect it.
  • Full automation: users of the tool only need to write the business rules that data must satisfy, and the tool automatically generates all the necessary code.

Intellectual property status

  • Granted Patent
  • Patent application number :-

Related Keywords

  • Databases, Database Management, Data Mining
  • Data Communications
  • Big data management

About Universitat Politècnica de Catalunya - UPC

The Universitat Politècnica de Catalunya - BarcelonaTech is a public institution dedicated to higher education and research in the fields of engineering, architecture and science, which contributes its knowledge and expertise in order to increase scientific output, transfer its results to society and provide a network of scientific and technical state-of-the-art facilities and technology valorization services that place us at the leading edge of innovation and economic development.

The UPC has established itself as a driver of innovation and is the technology partner of choice for companies and organizations with which it develops projects and builds partnerships. A role borne out by the numerous agreements and research projects that have been set in motion by groups, organizations and laboratories; the creation of new technology-based companies; the generation and exploitation of patents, and the scientific and technical services UPC makes available to its environment in order to generate progress and employment.

The Technology Transfer Office (SGI) is responsible of Designing, coordinating and implementing research valorisation strategies, carrying out the protection policy of the research results, marketing these results through license contracts and designing and setting up the University's enterprise creation model in order to transfer the results of the research to the market, protect and commercialize these results, promote the culture of entrepreneurship and innovation, and create technology-based companies within the UPC environment.

Universitat Politècnica de Catalunya - UPC

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