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.

Key Features:

• Unmatched performance even on large datasets

• Low-code visual workflow builder: for quick model creation

• Easy data integration: files, databases, API connectors, business applications, data warehouses, Kafka etc

• Reusable components: facilitate accumulation of business expertise.

• Dynamic visualization: interactive OLAP cubes, tables, charts and other specialized tools.

• Fault tolerance: the ability to build high-performance and fault-tolerant systems.

• Wide range of deployment options: from a free community version to on-premise licensing and clouds.

What is Megaladata used for?

• Data analysis

• Machine learning

• Data Mining

• ETL

• Self-service and reporting

• Building a data pipeline

• Automating data analysis processes

Who Uses Megaladata?

• Data analysts

• Data engineers

• Business industry experts

• SMEs and startups

• Enterprises teams

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