What is Megaladata?
Megaladata is the fastest low-code platform for advanced analytics, that provides data integration, cleansing, and deep analysis.
The Megaladata software product is a universal constructor with a set of ready-made components designed for analyzing and processing business data based on visual design methods. It makes advanced analytics accessible to end users without involving IT specialists, allowing them to automate business processes and significantly speed up data processing. The platform is suitable for both self-service analytics and building large-scale, fault-tolerant corporate systems. It is available in local and server versions, as well as a cloud service.
The platform contains an extensive set of analysis and research tools —from simple mathematical operations to neural networks—and allows users to build an end-to-end data processing workflow: from ETL processes to intelligent data analysis and machine learning (ML). The system’s high performance also makes it ideal for big data processing.
Megaladata analytical software is used in a wide range of industries, including banking, retail, logistics, manufacturing, marketing, agriculture, telecommunications, and medicine.
Ready-made application solutions are implemented on the Megaladata platform.. The company and its partners offer well-developed, interactive and free training courses on working with the platform and solving key business tasks.
Pricing
-Personal (Desktop): $399/year
-Team (Server): $21900/year
-Standard (Server): $33300/year
-Enterprise (Server): $78000/year
Company Facts
Product Details
Product Details
Megaladata Categories and Features
Data Analysis Software
Megaladata Customer Reviews
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A Hidden Gem for Low-Code Data Transformation and ML Deployment
Updated: Jul 17 2025SummaryMegaladata 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
Positive-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 designNegative- Still not too many users, so is hard to find a community that helps you
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- Learning course that doesn't teach you the most advanced features
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