Automatize the data masking process and prevent risks in your company

Realistic data for your applications

Efficient and risk-free AI-driven database creation for development environments

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Gigantics' pillars

We follow the three DataOps principles

Data transformation software to speed up the application delivery procress

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Anonymize

Safely share datasets with confidential information among your teams thanks to masking and anonymization
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Synthesize

Thanks to our AI engine, provision your databases with consistent datasets
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Provision

Provide your teams and tools with new data so that they can use them with no risk
How Gigantics works

The three principles in three steps

Automate your data transformation and internal security with these three steps

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Data classification

Identify your sensitive data and classify the tables of your data sources.
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Data transformation

Creates transformation rules automates anonymisation and synthetic creation of realistic data
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Load the new dataset wherever you want

Load your new realistic data transformed by Gigantics rules anywhere you want. You can automate via API requests from any CI/CD software
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We can integrate with any data source

Deliver realistic data in a fast and secure way

Connect with any data source, implement your data service strategy and automate your data provisioning

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Different use cases

Some use cases for realistic data

These are some scenarios where realistic data can be useful for your teams

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Realistic UI Testing

Test your user interface in a production environment and validate the quality of your user experience with extremely high data volumes
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SQL Optimization

Improve the performance and quality of SQL query results in your application
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Test Your Migrations

For each new version of the application or schema, we may need to test data migration changes and ensure that migrations do not break the application or take too long in the environment
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Realistic Integration Testing

Test the integrated system and applications as if they were running in the production environment
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Provision Environments Quickly

Provide instant, short-lived environments for testing or development
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From Zero to Data

Experiment with simulated or realistic data for analysis, reporting, transformations, and business simulations
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Risk-Free Data Sharing

Deliver data to people inside and outside your team or organization without fear of data leaks
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ML/AI Training

Build more robust ML/AI data models by training with augmented datasets that are statistically sound
Data Sources

Multiple data sources

Gigantics is multi-technology in the application of data sources. You can work with any of these

Cassandra
CouchDB
CSV
DB2
DocumentDB
DynamoDB
Firebase
Hadoop
HBase
Imapala
JSON
Mainframe
MariaDB
MongoDB
MySQL
Neo4j
Oracle
Postgres
Redshift
S3
Salesforce
SQL Server
SQLite
SyBase
Book a demo!Find out how Gigantics can help you