Audience
Megaladata is designed for business analysts, data professionals, and organizations seeking a fast, low-code platform to build scalable, advanced analytics workflows without coding
About Megaladata
Megaladata is the fastest low-code platform for advanced analytics, enabling business users to design and run end-to-end data workflows—ù, from ETL to ML, without coding or IT support. With visual design tools and ready-made components, it simplifies data integration, cleansing, and deep analysis. The platform supports both self-service and enterprise-grade systems, handling big data with high performance. IT has integrations with more then 50 of the main databases' software and online datasets, other then native compatibility with Micrsoft ecosystem and Python. Available as a desktop, server, or cloud solution, Megaladata is used across industries like banking, retail, logistics, and healthcare. Free, interactive training online courses help users solve real business problems efficiently.
Pricing
-Personal (Desktop): $399/year
-Team (Server): $21900/year
-Standard (Server): $33300/year
-Enterprise (Server): $78000/year
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Megaladata Verified User Reviews
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" A Hidden Gem for Low-Code Data Transformation and ML Deployment" Edited 2025-07-17
Pros: -Fast setup
- powerful PMML support and automation features that save tons of time.
- Fast data cleaning
- Great performance with big data
- Job scheduler for automate reports
- Good modern designCons: - Still not too many users, so is hard to find a community that helps you
- Learning course that doesn't teach you the most advanced featuresOverall: Megaladata is a game-changer. I used it to replace messy Python workflows with clean, repeatable pipelines. The support for PMML is a huge plus, especially for deploying models without dev handovers. Task automation and scheduling saved my team hours every week. It’s like having an entire data engineering team in one platform. Highly recommended for data pros, analysts, and even marketers who want more control without coding everything from scratch. It's really easy to learn and highly customizable thanks to its integration with Python and JavaScript where you can create your own node and save it. The course for learning it is really well done also if it doesn't cover the most advanced features
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