Lacibus Ltd is a small company with a big vision. We are looking for equity funding so that we can grow and fulfil our potential. This page sets out how we will provide products and services to help enterprises integrate data. Please contact us to find out more!

Data Integration

Data integration is the process of combining heterogeneous data to form new homogeneous data sets. It is one of the most common operations of data processing. It can be on an enterprise-wide scale, as when data from across the enterprise is integrated to provide analytics for management and decision-support, or data from two enterprises is put together after a merger. It can be on a smaller scale, as when a new solution requires input data from several different sources. We can help with data integration, from solution scale upwards, with our virtual data lake platform, products such as our Soda data content management system, and our solution-building services.

According to MarketsAndMarkets, the global Data Integration Market size is set to grow from USD 11.6 billion in 2021 to USD 19.6 billion by 2026, at a Compound Annual Growth Rate (CAGR) of 11.0% during the forecast period. Various factors such as rise in big data technologies and cloud computing technologies, increasing amount of on-cloud data and incapability of traditional data management tools are expected to drive the adoption of data integration solutions and services.

According to Gartner, the data integration software market grew 6.8% in 2020, reaching $3.3 billion. Growth is sustained by the need for solving multicloud and hybrid data integration challenges of customers along with the sustained need for supporting specific data integration styles needed by customers.

While analysts may not agree on the precise market definition and size, there is no doubt that the data integration market is big and set to grow further. There is also no doubt that the move to cloud computing is a significant factor in its development.

There are a number of established players in the market, but they tend to offer expensive enterprise-wide solutions. With our ability to offer cost-effective solutions at local scale, and our cloud-native approach, Lacibus is well placed to disrupt this market and take advantage of its growth.

Virtual Data Lakes

Virtual data lakes enable applications to mix and match data from different sources, applying distributed access control to ensure the right people have the right data. The Lacibus virtual data lake is fast and efficient. Programs written in Python, the language of choice for data professionals, can use it to store data and can display data from it. It can cope with structured and unstructured data of all kinds, and does not rely on pre-defined schema. Virtual data lakes can be used in a cloud-native environment and at any scale, from single solution to enterprise-wide.

The Lacibus virtual data lake implementation has been stable, with minor enhancements, for over five years. During that time, it has been in use, running in Docker containers on cloud servers and supporting live websites. It has also been run experimentally on a Raspberry Pi as part of an Internet of Things demonstration. It is now being deployed with Kubernetes. It is well suited to a cloud-native microservices approach.

The virtual data lake is open source and free to use. Availability of a free starter component is a feature of many successful cloud products, and has proven to be a highly effective way of engaging customers.


With our Soda data content management system, you can create websites to display data together with text and graphics. The websites can be used by Python programs for data display and input. You can also use the Soda user interface to create data inputs and displays with a no-code approach. The results are less sophisticated, but can be produced quickly. This is particularly useful for visualizing data during application development, and is often fine for published reports too.

The Soda implementation has grown over a number of years and is still being developed. It is used to create and publish several websites, including the one that you are viewing now. Its core is reliable and stable, giving the ability to create, edit and display web pages including views of data, and to apply granular access control. Extensions to the core will need further work before they can be offered as part of the product. These include user registration, user-defined forms for data entry, JSON API import, and spreadsheet import.

A starter version of Soda will be supplied free of charge. The full version will be available on commercial terms.

Other products will be developed to assist enterprises with data integration. These could include integrations with commercial database management systems, and natural language processing applications for enterprise knowledge management. They will be defined as we engage with customers and understand their needs.

Building Solutions

Our experts will help enterprises architect, design and build data integration solutions, either as commissioned projects or by working with their development teams. We are of course particularly skilled with virtual data lakes, but will approach each problem on its merits. 

As well as providing a revenue stream, consultancy and development services are an excellent way of understanding customer needs and identifying product opportunities.

The combination of commercial products and customer-facing services has always been a recipe for success. The addition of an open source component and cloud-native delivery makes it the right recipe for today's market.

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