Real fake data

Say goodbye to inefficient in-house workarounds and clunky legacy tools. The data you need is useful, realistic, safe—and accessible by way of API.
What is Fake Data?
Build vs. Buy
Why Tonic?

Building fake data is much harder than it looks.

If you’re struggling with an in-house solution for generating or de-identifying your data, trust us: you’re not alone. Here’s why it hurts.

Today’s data is very big.

And to think we used to sing the praises of big data. Building a data de-identification infrastructure that works with the scale of today’s data means grappling with performance issues, data sprawl, and PB of data sprinkled with sensitive data throughout. We’re talking fields full of haystacks full of needles, and it’s your job to find them.

Today’s data is very complex.

Not only do you have PB of data, you have it spread across multiple databases of different types. You have it in NoSQL databases. You have it in JSON blobs. You have foreign key constraints that aren’t always expressed. And your production data, heck maybe even your schema, changes every day. Chances are you’ve even got some time series data in there. And you’ve been tasked with recreating it realistically. Here’s a hankie.

Today’s data is very regulated.

GDPR, CCPA, HIPAA, PCI—take your pick. At least one of them likely applies to your data, which means that there are very real, very serious fines tied to your failure to comply. Are you up to the task of securely de-identifying all the data you need no matter where it lives (we’re looking at you, JSON blobs) and even as schema changes threaten to push real data into your lower environments?

It’s not just the data.
It’s the integrations you’ll need.

Get an added layer of security with RBAC and audit trails for full visibility and governance throughout your data generation pipeline.

Support all of your data sources

Maybe you’ve built an in-house solution that works with Postgres. But what happens when your company adds a data warehouse like Snowflake into the stack? You’re back at square one. And if you add a NoSQL database, nudge yourself back to square negative one.

Would you like an API with that?

The answer is always yes, so keep that in mind as you’re writing those custom scripts. Your workflows are only as smooth as the integrations they allow. One more bucket of code to maintain in the shifting landscape of your tech stack.

We haven’t even talked about subsetting

This isn’t so much an integration as it is a bonus feature of a truly well-built data de-identification infrastructure. The secret sauce for working with big data is to shrink it down to a manageable size first. But make sure you don’t break referential integrity along the way. And your subsetter will need to work in tandem with your data generators for it to be worth its spit.

What you need is a platform solution.

Add up all of the above requirements, and the answer is clear: you need a platform solution. Are we suggesting that you build a data de-identification platform in-house? Of course not, unless that’s the product you’re paid to be building. Happily, that is the product we’re paid to be building. Here’s why it’s worth your while to check out Tonic.

Safely de-identify complex data at scale.

Big, complex, sensitive data is what our platform is built to handle. Our native database connectors and broad range of generators meet your real data where it is and get realistic data where it needs to be.

Integrate and collaborate seamlessly.

Access all of Tonic’s capabilities by way of API, trigger actions outside of Tonic with webhooks, and collaborate within the platform with commenting and RBAC. CI/CD meet continuous data generation.

Save your team time, money, and needless suffering.

Eliminate the burden of building and maintaining an in-house solution, and free your developers to build your product instead.

TLDR; It’s cheaper, faster, and more powerful to buy a best-in-class solution like Tonic, than to bog your talented team down with a problem we’ve already solved.

Get quality data faster, with privacy guaranteed.

Fake your world a better place

Enable your developers, unblock your data scientists, and respect data privacy as a human right.

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