NoSQL vs. SQL: What You Need to Know
There are hundreds of database options out there, but they all fall into one of two categories: NoSQL and SQL. Which is right for your data...and what is involved in synthesizing the data stored in each?
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Generate data that looks, acts, and feels just like your production data and safely share it across teams, businesses, and international borders.
Choose from dozens of string and data types to build a model of and mimic your data. Create data that looks, acts, and feels just like your production data.
Generate primary and foreign keys that reflect your source tables. Safeguard relationships throughout your database.
Read MoreProactively protect your sensitive data with automatic scanning, alerts, de-identification, and mathematical guarantees of data privacy.
Go big or go small — generate referentially intact subsets of your entire data ecosystem sized to your needs, environments, and simulations.
Create a coherent slice across all your databases that preserves referential integrity while shrinking petabytes of data down to a size that is manageable and easy to share.
Fine-tune your subset with custom WHERE clauses or percentages to get exactly what you need for targeted use cases in testing, QA, and bug reproduction.
Read MoreStreamline your workflows to maximize productivity with seamless integrations, collaboration tools, and access control.
