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Exasol Unveils New Suite of AI Tools to Turbocharge Enterprise Data Analytics

Espresso AI makes AI more affordable and accessible, enabling customers to leapfrog expensive, time-consuming experimentation and achieve immediate ROI.

Note: TDWI's editors carefully choose vendor-issued press releases about new or upgraded products and services. We have edited and/or condensed this release to highlight key features but make no claims as to the accuracy of the vendor's statements.

Exasol, a high-performance analytics database provider, today released Espresso AI at TDWI Transform 2024 that includes three new artificial intelligence (AI) capabilities designed to help enterprises approach data analytics in a faster, more cost-efficient, and flexible manner. With these new features, Espresso AI provides organizations with the tools needed to harness the power of their data for advanced AI-driven insights and decision-making. By leveraging Espresso AI, data teams are equipped to address business-critical needs such as demand forecasting, fraud detection, and churn prediction.

Exasol has enhanced its versatile query engine, Exasol Espresso, with Espresso AI, bringing AI and business intelligence (BI) together to enable better BI reports with predictive machine learning (ML) models. Leveraging Exasol's expertise in data management and analytics, Espresso AI optimizes data extraction, loading, and transformation processes to give users the flexibility to immediately experiment with new technologiesat scale, regardless of infrastructure restriction—whether on-premises, in the cloud, or in a hybrid arrangement. Users can reduce data movement costs and effort while bringing in emerging technologies such as large language models (LLMs) into their database with just a few clicks. By streamlining critical data preparation steps, organizations can accelerate their journey towards implementing AI and ML solutions while ensuring the quality and reliability of their data.

Available now for Exasol Espresso customers, Espresso AI offers integrated AI features and ML tools, including:

  • evoML integration: With this autoML tool from TurinTech, users can maximize performance with the deployment of ML models directly in their database.
  • Exasol AI Lab: A new container-based solution that allows data scientists to integrate Exasol’s in-memory analytics database into their preferred data science ecosystem to create optimized AI models faster and deploy them at scale.
  • Veezoo integration: This recent addition to Espresso enables customers to ask questions in natural language to query their database and immediately get trusted answers from billions of rows of data. Veezoo’s AI feature offers smart suggestions for follow-up questions to guide data exploration, transforming data analysis into an engaging, interactive experience.

Exasol and TurinTech: Automatically Build, Optimize, and Deploy AI Models

Exasol has natively integrated its platform with TurinTech’s evoML product, enabling customers to derive greater value from their data. By combining the strengths of both platforms, organizations will see benefits of advanced data analytics with AI to gain deeper insights faster, accelerate time-to-results from weeks to days, and boost productivity across both engineering and business teams. Due to Exasol’s performance, users can run models on big data at record speeds with distributed and parallel execution engines. All of this is done with easy-to-understand visualizations and model code.

Exasol AI Lab: Create Optimized AI Models Faster and Deploy Them at Scale

Exasol AI Lab, a new pre-configured container-based solution, enables data scientists to seamlessly and quickly integrate Exasol’s in-memory analytics database into their preferred data science ecosystem. The AI Lab is the ideal starting point for users to implement AI use cases for Exasol due to its support for any data science language and its extensive list of technology integrations including PyTorch, Hugging Face, scikit-learn, TensorFlow, Ibis, Amazon SageMaker, Azure ML, and Jupyter. With this new feature, data scientists can use Exasol for AI-related tasks such as data loading, data preparation, model training, model optimization, and model deployment.

According to Joerg Tewes, CEO of Exasol, “With a focus on data preparation, advanced AI integration, and strategic partnership, Exasol is poised to empower enterprises to harness the value of AI-driven analytics. Espresso AI provides the tools to thrive in today’s data-driven economy, regardless of if the organization is just getting started in its AI journey or looking for ways to quickly move beyond proof of concepts and begin leveraging AI at scale.”

For more information about Espresso AI, please visit

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