Best AI Data Analytics Tools for Azure Database for PostgreSQL
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Compare the Top AI Data Analytics Tools that integrate with Azure Database for PostgreSQL as of November 2025
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This a list of AI Data Analytics tools that integrate with Azure Database for PostgreSQL. Use the filters on the left to add additional filters for products that have integrations with Azure Database for PostgreSQL. View the products that work with Azure Database for PostgreSQL in the table below.
What are AI Data Analytics Tools for Azure Database for PostgreSQL?
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 Database for PostgreSQL currently available using the table below. This list is updated regularly.
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icCube
icCube
icCube is a Swiss embeddable analytics solution designed for B2B SaaS product and development teams to deeply embed analytic capabilities inside their applications. Dashboards will seamlessly blend into the SaaS solution’s UI and UX experience, while resting on top of icCube’s robust analytical engine, allowing to consume complex data models needing sophisticated data security. With a dev2dev approach, icCube's team accompanies clients to successfully and quickly get into production. At icCube, we understand that navigating the complexities of data can be daunting. That’s why we’re excited to introduce also our Data Analytics Boutique Services, designed to empower both existing and new clients in achieving seamless data integration, robust data security, insightful analytics, effective decision automation and dashing reports. We partner with our clients at all stages and all phases of their projects and product roadmaps. From a quick review up to a full project and productStarting Price: $20,000/year -
2
Microsoft Power BI
Microsoft
Power BI is a business intelligence platform that enables users to analyze data using AI-driven tools and intuitive report creation. It consolidates data from various sources into OneLake, creating a centralized data source. This platform aids in embedding actionable insights into applications like Microsoft 365, aiding decision-making. Power BI integrates with Microsoft Fabric, enhancing data management. It offers scalability to handle large data volumes and integrates seamlessly with Microsoft services. Its AI capabilities efficiently identify patterns and generate insights. Power BI ensures data security and compliance. Its Copilot feature allows rapid report generation. Additionally, Power BI Pro offers self-service analytics, and its free version includes data modeling and visualization tools. It's known for unified data management, empowering users with accessibility and training resources. Power BI has demonstrated a significant ROI and economic benefit, as evidenced in a ForresStarting Price: $10 per user per month -
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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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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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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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