Data workflow automation
Enterprise AI

Build data workflows that keep up with change

Megaladata is an enterprise data platform that brings the data, logic, analysis, delivery, and actions behind everyday business decisions into one visible workflow.

Change the rules. Keep the workflow.

Build, run and change visual workflows that bring together sources, data preparation, calculations, business rules and checks. Produce the specific output needed for the next step in work, even as data and rules change.

Input

Current data

Updated

Logic

Business rules

Rule changed

Model AI

Decision logic

Reused

Output

Business decision

Ready

Visible workflow

See every step

Sources, transformations, rules, models and intermediate results stay visible and understandable

Build to evolve

Change the process, not the foundation

Reuse recurring workflows and update their data, rules or models as the business and the world change. Each one is built from reusable workflow components

Process more data faster

The Megaladata platform employs methods that ensure high-speed processing, efficient memory use, and easy scaling.

1 Terabyte

processed in 12 minutes 51 seconds

PostgreSQLTransformationClickHouse

4x faster
than industry leaders

Read more
01

Source

Connected

02

Prepare

In motion

03

Analyze

Parallel

04

Deliver

Ready

High-performance core

Megaladata’s own computing engine is built to process demanding enterprise workloads efficiently.

In-memory processing

Data stays close to compute, reducing unnecessary reads and writes throughout the data pipeline.

Parallel computing

Independent branches run simultaneously and use available compute without extra setup.

Mega AI Agent builds the workflow. You stay in control.

Megaladata AI assembles and adapts workflows from enterprise data, business rules, models and tools while Megaladata keeps access, validation and execution governed.

AI Agent workflow scheme
01

Build and adapt workflows with Mega AI

02

Data governance: control access to enterprise data, models and tools

03

Validate inputs and outputs before they reach the business

Turn data into reliable business decisions

Discover how Megaladata helps companies across industries solve business challenges with data and analytics.

Connect customer data, scoring logic and policies to the action the business needs next

Credit scoring and underwritingFraud and anomaly detectionRisk and complianceCustomer segmentationCash-flow forecastingCollections prioritization
Explore all solutions

Enterprise deployment you can own

Keep Megaladata close to your data, retain control of the infrastructure and choose a license built for the long term

Primary deployment

On-premise

Keep data and workflows in your environment

Windows & LinuxYour serversYour security policies

Perpetual license

Get a permanent right to use Megaladata without renewing the core license every year

One-time licenseAnnual licensing is also available

Cloud available

Deploy Megaladata in your cloud environment while you retain infrastructure and operational control

Contact to learn more

Grow your business with Megaladata

Bring local market expertise. We provide the platform, product knowledge and go-to-market support to build, sell and implement data solutions together

Our Blog

Insights and expertise on analytics, data management, automation, and the technologies shaping modern data-driven organizations.

All posts
How to Build a Data Workflow That AI Can Actually Trust
How to Build a Data Workflow That AI Can Actually Trust
There's a version of this conversation that stays theoretical – data quality matters, governance is important, AI needs the right context. Everyone agrees.
How To Use Execution Order Ports When Running Megaladata Workflows
How To Use Execution Order Ports When Running Megaladata Workflows
Megaladata automatically optimizes workflow execution: It runs only the nodes linked by a data chain and uses parallel computing. However, in some cases, you may need to set the execution order manually. You...
1 TB in Under 13 Minutes: Performance Test Report
1 TB in Under 13 Minutes: Performance Test Report
For this test, we ran Megaladata 7.3.3, importing 1 TB from two production DBMSs simultaneously, with transformations applied, over a standard cloud network. Five consecutive runs. Average: 12 minutes...

Build a workflow
that adapts with you

Start free or talk to us about turning a fragile workaround
into a reliable operational process