Best AI Data Analytics Tools for Azure SQL Database

Compare the Top AI Data Analytics Tools that integrate with Azure SQL Database as of October 2025

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This a list of AI Data Analytics tools that integrate with Azure SQL Database. Use the filters on the left to add additional filters for products that have integrations with Azure SQL Database. View the products that work with Azure SQL Database in the table below.

What are AI Data Analytics Tools for Azure SQL Database?

AI data analytics tools are AI-powered software tools designed to analyze large datasets and identify patterns. They can be used for a wide range of tasks such as predicting customer demand, detecting fraud, or spotting trends in sales data.These tools typically use machine learning algorithms that enable them to adjust their predictions and recommendations over time.They also tend to be integrated with common business systems such as ERP or CRM software. Compare and read user reviews of the best AI Data Analytics tools for Azure SQL Database currently available using the table below. This list is updated regularly.

1

DataBuck

FirstEigen

DataBuck is an AI-powered data validation platform that automates risk detection across dynamic, high-volume, and evolving data environments. DataBuck empowers your teams to: ✅ Enhance trust in analytics and reports, ensuring they are built on accurate and reliable data. ✅ Reduce maintenance costs by minimizing manual intervention. ✅ Scale operations 10x faster compared to traditional tools, enabling seamless adaptability in ever-changing data ecosystems. By proactively addressing system risks and improving data accuracy, DataBuck ensures your decision-making is driven by dependable insights. Proudly recognized in Gartner’s 2024 Market Guide for #DataObservability, DataBuck goes beyond traditional observability practices with its AI/ML innovations to deliver autonomous Data Trustability—empowering you to lead with confidence in today’s data-driven world.

6 Ratings

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2

NLSQL

NLSQL

NLSQL is a cutting-edge B2B SaaS platform designed to empower employees by transforming natural language into actionable business data through an intuitive text-based interface. By leveraging Natural Language Processing (NLP), NLSQL enables users to query corporate databases using plain English, streamlining decision-making and accelerating operational efficiency. As the first NLP-to-SQL API of its kind, NLSQL allows seamless integration within existing enterprise systems without the need to transfer any sensitive or confidential information outside the corporate IT environment. This ensures robust data security and compliance with industry regulations. With NLSQL, companies benefit from faster insights, reduced reliance on technical teams for report generation, and improved accessibility to data across departments. The platform is ideal for large enterprises seeking to enhance productivity, boost data-driven culture, and maintain complete control over internal information flow.

Starting Price: $987/month/unlimited users

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3

5X

5X

5X is an all-in-one data platform that provides everything you need to centralize, clean, model, and analyze your data. Designed to simplify data management, 5X offers seamless integration with over 500 data sources, ensuring uninterrupted data movement across all your systems with pre-built and custom connectors. The platform encompasses ingestion, warehousing, modeling, orchestration, and business intelligence, all rendered in an easy-to-use interface. 5X supports various data movements, including SaaS apps, databases, ERPs, and files, automatically and securely transferring data to data warehouses and lakes. With enterprise-grade security, 5X encrypts data at the source, identifying personally identifiable information and encrypting data at a column level. The platform is designed to reduce the total cost of ownership by 30% compared to building your own platform, enhancing productivity with a single interface to build end-to-end data pipelines.

Starting Price: $350 per month

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4

Ardent

Ardent

Ardent (at tryardent.com) is an AI data engineer platform that builds, maintains, and scales data pipelines with minimal human effort. It lets users issue natural language commands, and the system handles implementation, schema inference, lineage tracking, and error resolution autonomously. Ardent’s ingestors come preconfigured for many common data sources and work “out of the box,” enabling connection to warehouses, orchestration systems, and databases in under 30 minutes. It supports debugging on autopilot by referencing web and documentation knowledge, and is trained on thousands of real engineering tasks to solve complex pipeline issues with zero intervention. It is engineered to handle production contexts, managing numerous tables and pipelines at scale, running parallel jobs, triggering self-healing workflows, monitoring and enforcing data quality, and orchestrating operations through APIs or UI.

Starting Price: Free

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5

SimplyPut

SimplyPut

Ditch the out-of-date dashboards and expensive in-house solutions and provide your customers with instant trustworthy answers to data questions with SimplyPut. Stop forcing customers to dig through endless data tables and perform complex calculations in order to get the answers they need. With SimplyPut anyone can chat with your data in natural language and get reliable answers fast directly within your product. Help customers stay on top of the data trends, changes, and updates that matter most. Turn any chat into an automated report with a single click. SimplyPut's AI not only keeps customers up-to-date on key metrics but also provides recommendations on how to turn those insights into action. Unlike text-to-SQL tools, SimplyPut is a best-in-class AI data analytics solution with robust trust mechanisms that prevent hallucinations. Quickly and efficiently teach SimplyPut's AI about your company's specific dataset and verify any question for consistent results.

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6

Codd AI

Codd AI

Codd AI solves one of the biggest problems in analytics: making data truly business-ready. Instead of teams spending weeks manually mapping schemas, building models, and defining metrics, Codd uses generative AI to automatically create a context-aware semantic layer that aligns technical data with your business language. That means business users can ask questions in plain English and get accurate, governed answers instantly—through BI tools, conversational AI, or any endpoint. With governance and auditability built in, Codd makes analytics faster, clearer, and more trustworthy. Codd AI ingests both technical metadata from your database, as well as business rules and logic to use AI to auto-generate the most comprehensive semantic layer. This semantic layer is embedded in an intelligent query agent to power natural language (NLP) conversational analytics or power traditional BI tools

Starting Price: $25k per year

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7

Microsoft Intelligent Data Platform

Microsoft

The Microsoft Intelligent Data Platform is an integrated data and AI platform designed to help organizations adapt rapidly, add intelligence to applications, and generate predictive insights. It unifies databases, analytics, and governance, enabling businesses to invest more time in creating value rather than managing their data estate. The platform offers seamless data integration and real-time business intelligence, facilitating powerful decision-making and innovation. By breaking down data silos, it allows organizations to extract real-time insights with the necessary data governance to operate safely. The platform's capabilities include accelerating innovation, improving productivity through automation and AI, and enhancing agility by anticipating changes and improving decision-making. It also provides comprehensive security across the data lifecycle, helping protect hybrid and multi-cloud environments.

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