Espresso is an intuitive, easy-to-deploy BI accelerator. It consists of our state-of-the-art analytical database combined with a tool called “Data Virtuality” that helps to load your data into Exasol, so users can easily replicate their BI data and instantly switch the connection from their legacy data management system to Espresso and blend it with additional sources.
That means Espresso builds a persisted data cache of the relevant data, and with the optional AI-powered add-on “Veezoo”, users will have a new way of querying data by just asking questions or typing questions in natural, everyday language, just like interacting with ChatGPT.

Espresso sits between your existing data sources such as Core DWH/Datalake/Datalakehouse and BI Frontend as an acceleration layer. Data Virtuality takes care of variety and veracity of data without complex ELT processes while the fast Exasol cache provides the velocity.

It’s simple - just get in touch to arrange a free demo and you can see it in action for yourself. Our team will guide you through each step and you’ll soon be able to see how Espresso integrates seamlessly with your existing stack to deliver vital insights based on your data and your queries.

If your organization struggles with its BI reporting and keeps running into the so-called “spinning-wheel problem”, Espresso is right for you. If you are unable to deliver new use cases and meet business demands or you are stuck with standard reports instead of getting deeper insights by exploring the data ad-hoc, Espresso is the right choice.
If you have too many users and dashboards, have too much load on your legacy data system, generate data volumes that are too huge to handle, or simply have poorly performing data stacks, Espresso is the solution.

You can load your most important datasets into Espresso, point your BI report/dashboard to it and see the performance effects of the in-memory cache layer immediately. You can also save costs by:

• Avoiding expensive upgrades of your legacy systems.
• Offloading workloads from legacy systems if they’re based on a consumption-based model.
• Driving better decisions, as more members of your team can ask more questions and better steer the business.
• Giving your administrators the time to work on topics that generate business value rather than tuning the database (see Forrester TEI) because Exasol is self-tuning.

Exasol AI Lab is a pre-configured container which enables data scientists to use Exasol easily for typical data science/AI related tasks, including data loading, data preparation, model training, model optimization and model deployment. The core component of the AI Lab is a Jupyter Notebook environment, which is very popular in the data science community. The AI Lab also includes Exasol packages, extensions, and routines to make it easier to configure and set up the database for AI/ML use cases. To help users get started quickly, the AI Lab provides example notebooks which showcase classic ML use-cases (e.g. scikit-learn), clarify how you can integrate Exasol into AWS Sagemaker, and how you can use the transformers extension to directly use models from Huggingface inside Exasol. The Exasol AI Lab is built on open-source technologies and can be used for free. It can be downloaded as a Docker container from Docker hub. Additionally, Amazon Machine Image and other virtual machine images like VMDK can be downloaded from Exasol’s GitHub repository: https://github.com/exasol/ai-lab.

Espresso natively integrates TurinTech, which is designed to unlock the full potential of your code and data with GenAI. It enables data scientists to optimize the resulting machine learning models or LLMs, so that they can be directly put into production and avoid expensive infrastructure costs. In comparison to the standard data science tools, users can extract the resulting model code for maximum control and transparency in the AI workflow. By applying autoML techniques, organizations can apply best-practices, tune models for accuracy and resource consumption, and ensure they are auditable and certified for regulatory restrictions.