Database generation, masking and subsetting powered by AI
Remove the need for full virtualized copies of your data, intelligently subset only the data you need. Configure data generation and masking parameters within the platform to meet your organization’s needs.
Trusted by data teams at the world’s leading companies
Trusted by data teams at world's leading companies
Why Synthesized
Ensure test data is up-to-date, compliant, and as close to production as possible
Sync
Get data in the hands of engineers and testers in days not months with built in configuration options for custom rules, CI/CD integrations and native self-service UI.
Fix
Generate robust and interpretable YAML configurations that allow for precision generation of high-fidelity production-like data for testing and development.
Access
Automatically ensure test data is up-to-date, compliant, and as close to production as possible with Synthesized’s "Data as Code" approach to codify complex compliance requirements into concrete data transformations.
Codify
Automatically ensure test data is up-to-date, compliant, and as close to production as possible with Synthesized’s "Data as Code" approach to codify complex compliance requirements into concrete data transformations.
01
Specify requirements
Write data requirements in a YAML config file for a database or using Python DSL for a dataset.
02
Create workflow
Create a data transformation job, check data categorization and access rights.
03
Run job
Run job as part of CI/CD or data pipeline to create data in the destination that meets the requirements.
Data generation for any development and QA use-case
Create large, diverse datasets representative of real-world scenarios.
Streamline the database generation process, ensuring the availability of high-quality data for testing while minimizing manual effort and accelerating development cycles.
Save over 70% in costs per application dev & test lifecycle. Make your database provisioning cloud-native using Synthesized database generation, masking and subsetting engine that runs in Kubernetes. Seamless integration with testing frameworks enables efficient automation, while continuous learning ensures ongoing improvement, resulting in faster, higher-quality software releases.
Automate test data provisioning with AI
With AI algorithms analyzing requirements and patterns, synthetic or realistic data is produced, ensuring comprehensive test coverage. Sensitive data is protected through intelligent masking techniques while maintaining data integrity. Test data is dynamically refreshed to reflect changes in the application, and predictive maintenance anticipates future testing needs.
Build and ship bulletproof applications
Ensure rapid detection, root cause analysis, and resolution of data quality issues, enabling quick mitigation before impacting your operations. Feel confident in your application by finding the root cause before anyone else.
Accelerate application migration
Automatically ensure test data is up-to-date, compliant, and as close to production as possible with Synthesized’s "Data as Code" approach to codify complex compliance requirements into concrete data transformations.
Stream PostgreSQL database preparation for development and testing
Synthesized provides the only AI-driven database masking, subsetting, and generation for PostgreSQL, tailored for application development and testing teams.
Automate the creation of databases that closely mirror production environments.
Enhance security and compliance by intelligently masking sensitive data, ensuring that personally identifiable information is protected.
Automate SQL Server test data provisioning
Synthesized optimizes SQL Server development cycles by efficiently identifying performance bottlenecks and data anomalies, crucial for handling large transaction volumes and complex queries.
Ensure every possible data scenario is covered by your test data.
Identify the "unknown unknowns", to accelerate release cycles and deliver with fewer bugs.
Automated test data provisioning for Oracle
Synthesized for Oracle databases enhance environments that handle high-volume transactions and complex production pipelines. Minimize downtime and optimize development with the right data, not all the data.
Manage complex Oracle-specific data types and relationships with Synthesized automated data generation
Intelligent masking for PII risk discovery.
Enhance Salesforce development with privacy-preserving snapshots
Synthesized enables rapid, reliable Salesforce application development with privacy-preserving snapshots for QA and development. Quickly identify and resolve issues, minimizing operational disruptions and enhance application robustness before release, not after.
Automated, comprehensive data coverage for any use-case
Protect sensitive customer information with AI-driven data masking techniques, ensuring compliance with codified regulatory rules
Partners & integrations
Built to work with your ecosystem
We understand that today’s production data pipelines and development environments are complex and dynamic. So while you can use Synthesized to generate production-like data for your specific POC, it also works with your specific technologies.
Cloud
Create production-like data in your cloud tenant
Deploy instantly, supercharge effortlessly, and accelerate initiatives with seamless cloud marketplace integrations. Our “Data as Code” approach makes it easy for anyone to be a data engineer.
