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More of our community is adopting the Exasol MCP server, and that raises the bar for us: users should get the best experience of any database MCP server, not just …
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A retailer wants to flag potentially fraudulent transactions as part of a nightly batch query by scoring transaction data against a trained model. One approach is to export the data, …
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AI can help draft analytics pipelines, but it shouldn’t own them. With a well-structured dbt project, an AI coding assistant can draft models, documentation, and tests, while developers still review …
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Learn what data sovereignty means for cloud, AI, and analytics, with new 2026 research on control, residency, risk, and workload portability.
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How Exasol Virtual Schemas Let You Query Data Where It Lives A business question often depends on data stored across several systems. Which customers opened a support ticket last quarter, …
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A text-to-SQL agent built on a hosted LLM moves two payloads across the wire per question. The first request carries your schema which includes table names, columns, types, often a …
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Teaching Assistants to work with Exasol Large language models have transformed the way developers work. Today, asking an AI assistant to write SQL, explain a query, or generate Python code …
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ClickHouse 26.4 closed half the join gap in one release. On the queries that need a cost-based optimizer, Exasol is still up to 174× faster. When we published our Exasol-vs-ClickHouse …
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How Process Mining Demonstrator Turns Business Event Data into Clarity There is a well-known gap in almost every organization. On one side sits the process model – the flowchart that …
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Everyone wants to point an AI at their data. Almost nobody wants to hand their data to an AI. That hesitation is fair. The moment your data leaves your machine, …
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