Peliqan.io is an all-in-one AI-first data integration and automation platform designed for business teams, scale-ups and consultants. Unlike traditional data tools that demand heavy engineering effort, Peliqan enables both business users and technical teams to connect, manage, and activate their data in one collaborative environment - without requiring a dedicated data engineer.
With 300+ built-in connectors, Peliqan connects to databases, SaaS business applications (ERP, CRM, Accounting, HRM/ATS etc.), cloud storage, files and APIs as well as on-prem data sources. New connectors are available on demand within 5 business days.
Peliqan offers one-click ELT pipelines to the built-in data warehouse, or you can bring your own data warehouse. Peliqan supports all major data warehouses.
Thanks to Peliqan’s Excel add-in, business users and consultants can work with real-time data in Excel.
Analysts and power users can use Peliqan’s advanced SQL editor with the support of an AI assistant to transform data and prepare business-ready data sets, which can be used in any BI tool such as Microsoft Power BI, Metabase, Tableau, Qlik, Looker etc. Users can also set up Reverse ETL flows.
Developers can go even further with Peliqan’s low-code environment, with a built-in virtual AI Data Engineer, where they can:
- Build & Publish interactive data apps
- Automate writebacks into source systems
- Publish API endpoints for data sharing
- Implement custom pipelines
- Build out internal AI Agents
By empowering business users, analysts, consultants and developers, Peliqan dramatically reduces reliance on IT support and speeds up decision-making.
Peliqan is not just an ELT data pipeline tool, it’s a complete solution for data orchestration, automation, and activation. Peliqan also acts as the data foundation for Agentic AI, ensuring that AI agents work with trusted, up-to-date 360° views of customers, products, orders, and more - at the speed of a cloud data warehouse.
Peliqan’s data warehouse provides an AI-ready data layer out-of-the-box including:
- Automatic vectorizing of structured and non-structured data for RAG (Retrieval-Augmented Generation)
- Text-to-SQL
- MCP Gateway
In today’s landscape, a data warehouse is no longer just for BI - it’s the foundation for both BI and AI. With Peliqan.io, organizations can integrate, analyze, and activate their data seamlessly, empowering both humans and AI agents to make smarter, faster decisions.
Average Rating: 4.8/5.0
Total Reviews: 91
How Do G2 Users Rate Peliqan?
-
Has the product been a good partner in doing business?: 9.0/10 (Category avg: 9.0/10)
-
Quality of Support: 9.2/10 (Category avg: 8.7/10)
-
Ease of Use: 9.4/10 (Category avg: 8.6/10)
-
Ease of Admin: 8.7/10 (Category avg: 8.4/10)
Who Is the Company Behind Peliqan?
-
Seller: Peliqan
-
Company Website:
-
Year Founded: 2022
-
HQ Location: Gent
-
LinkedIn® Page: www.linkedin.com
32 employees on LinkedIn®
Who Uses This Product?
-
Top Industries: Computer Software, Information Technology and Services
-
Company Size: 47% Small, 41% Medium
What Do G2 Reviewers Say About Peliqan?
AI-generated summary from verified user reviews
Pros
- Users praise Peliqan for its ease of use, especially in automating data integration and simplifying setup processes.
- Users value Peliqan's seamless integrations, enabling efficient data management and automated reporting across various platforms.
- Users value Peliqan for its easy integrations, streamlining data connections without adding complexity to their workflows.
- Users value Peliqan's seamless integrations and numerous connectors, enabling efficient data management and rapid development.
- Users value Peliqan's efficient data management, enabling seamless integration and automation of supply chain processes with ease.
Cons
- Users note a steep learning curve with Peliqan, requiring expertise in scripting and machine learning for advanced features.
- Users note that the required technical skills for Peliqan can create a steep learning curve for beginners.
- Users feel the need for a wider range of features, limiting the platform's functionality for advanced workflows.
- Users find the steep learning curve of Peliqan challenging, requiring expertise in scripting and machine learning.
- Users find the steep learning curve challenging, especially for advanced features requiring technical knowledge and experience.
