Synthesized TDK provides database masking, subsetting, and generation capabilities. Prevent PII leaks by integrating TDK into your CI/CD pipeline. Start your 14-day free trial today.
The TDK provides a secure, privacy-preserving, tailored version of production data that can be used for many purposes, including (i) creating a privacy-complaint replica of production data for development, testing, and data engineering, and (ii) generating large amounts of data for performance testing and load testing.
Designed for DBAs, productivity and engineering teams, it gives users the ability to generate structured production-like data at the database level, replicating database structures and maintaining key features like referential integrity while also preserving data privacy.
The TDK works with relational databases that contain complex structures such as constraints and tables with references to other tables, among others. Relational databases are the central point of many applications, and getting access to data can be crucial for developing, maintaining, and testing data-centric applications. But getting access to production data can be difficult and time-consuming.
Start a 14-day free trial on AWS Marketplace now. Use TDK on a pay-as-you-go basis, pay monthly for unlimited usage, and cancel anytime. Contact sales for more information: https://www.synthesized.io/contact-sales.
Key Benefits:
- Reduce test database provisioning time from 1-2 days to 10 minutes
- Increase developer productivity by 20%+
- 0% production data leakage risk
- Reduce data storage costs for non-production environments by up to 90%
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Try this product free for 14 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
Synthesized TDK - Populate non-production environments with test data
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing uses a single usage-based dimension. You pay by the container hour, meaning charges accrue for each hour the software runs. There are no tiers or fixed quantities to choose upfront. Your cost scales directly with runtime, so it rises when you run more or longer jobs and drops when usage is idle. The tool generates, masks, and subsets test data for non-production environments, and it deploys in containers that fit into your existing workflows. Because billing tracks actual container run time, spending follows how much you use the platform.
Top-of-mind questions for buyers
What counts as one container hour for billing?
One container hour is one hour that a running instance of the software stays active. The engine runs in containers, so charges accrue per hour of runtime. Partial usage and multiple running containers each add to your metered hours. Idle time with no running container does not accrue charges.
Am I charged when no jobs are running?
Charges track active container run time only. When you stop the container and run no jobs, software hours stop accruing. Costs rise when you run longer or add more containers, and fall when the software sits idle. Underlying AWS resources may still bill separately.
What tasks does the software run during billed container hours?
During run time, the software masks sensitive data, generates synthetic test data, and subsets production data for non-production environments. It connects to relational databases and preserves key relationships. You can run jobs through a visual editor or a command-line interface, then deploy results into test environments.
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Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
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Replicate a database once, deliver to many. Continuously refreshed, privacy-compliant virtual databases, are independently provisioned and maintained without taking up extra storage space. Used as a foundation for delivering test data environments and empowers your agile teams with the autonomy they need to move fast without waiting for test data.
Tonic.ai frees developers to build with safe, high-fidelity synthetic data to accelerate software and AI innovation while protecting data privacy. Through industry-leading agentic solutions for data synthesis, de-identification, and subsetting, our products enable on-demand access to realistic data and simulated worlds for development, testing, and AI model and agent training. The product suite includes Tonic Fabricate for synthetic data generation, Tonic Structural for test data management, and Tonic Textual for unstructured data redaction and synthesis, each equipped with built-in agents to streamline configuration. Unblock innovation, accelerate your engineering velocity, and ship better products, all while safeguarding data privacy.
Replicate a database once, deliver to many. Continuously refreshed, privacy-compliant virtual databases, are independently provisioned and maintained without taking up extra storage space. Used as a foundation for delivering test data environments and empowers your agile teams with the autonomy they need to move fast without waiting for test data.
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