35 Tonic.ai Reviews
Overall Review Sentiment for Tonic.ai
Log in to view review sentiment.
Tonic takes the guesswork out of providing data for engineers to use during debugging etc. We wrote a simple automation that runs Tonic every day, and as a result our developers have up-to-date info to work with that is largely set-and-forget. Review collected by and hosted on G2.com.
There's no Okta integration, and the ability to configure user permissions is tied to their most-expensive Enterprise tier, but these aren't dealbreakers. Review collected by and hosted on G2.com.
Tonic's customer service is outstanding. They always want to ensure we are taken care of, that the product works as expected, and a lot more. The product's design itself is setup to be trusted. When we de-identify data, we need to know in great detail what's going on. Their design is intuitive and customizable to ensure all data we consider to be important is addressed properly. Review collected by and hosted on G2.com.
The biggest dislike we have is that the product's data de-identification job can't be put on a cron from inside the product itself. We had to make a Lambda in AWS to call the Tonic Structural API to trigger a job. Review collected by and hosted on G2.com.
The best part I like about Tonic is that it's very easy to create fake data. If we see in earlier scenarios, it is cumbersome to create test data as we might manually use some combination or need to write a python script to create random data. This testdata might not cover all possible scenarios actually happening in the production environment and we might miss key observations.
The data generated by Tonic is very similar to the actual data and therefore covers up all possible scenarios. Also, Tonic's support team is very helpful where in if you face any issues, you can chat with them, They are quick to respond and help you out Review collected by and hosted on G2.com.
One thing which in my opinion is difficult about Tonic is lack of sufficient documentation and videos on how to use it.
As a newcomer, if I am using Tonic for the first time, then I need to do quite a research to understand how to use the tool especially the advanced topics like AI Synthesizer, complex generators
A detailed documenation on how to use (considering even the QA community having not known most of the Data Scienc concepts) or even videos would be really helpful Review collected by and hosted on G2.com.
Prior to Tonic, nothing in our demo environment was functional. A lack of quality demo data prevented employees and partners from training and onboarding with the full functionality of our platform. We found Tonic to be the only technology that met our needs for realistic demo data generated based on production at database scale. In particular, we appreciate its support for multiple databases, automated schema change detection, and easy-to-use subsetting.
Now, with the realistic data we’re getting from Tonic, most of our reps come out of training saying, ‘I’m more comfortable with onboarding calls and demoing the platform, than with discovery calls.’ It’s having a massive impact.
Data that used to take days or weeks to manually source is now refreshed and provisioned overnight, with generation jobs completed in a matter of hours. For smaller subsets, jobs complete in as little as 30 minutes. The ease of getting this data and the quality and realism of the scenarios it captures transformed our broken demo environment into a platform driving success across the company.
You can’t tell that our demo environment runs on Tonic data. It is so close to a mirrored experience for what our partners deal with, and that helps us empower them and guide them better. Review collected by and hosted on G2.com.
The team can be a little salesy/pushy at times Review collected by and hosted on G2.com.
Anyone who is faced with the challenge of needing to move quickly and to be laser focused on their mission to provide value for their customers, go with the cloud hosted version of Tonic. It’s the best way to support that mission more broadly for your organization and to make sure that you're able to leverage the time and talent of your team in a way that is in support of that goal. Review collected by and hosted on G2.com.
Some additional automation (like scheduled data generation jobs) would be helpful, but their API made it easy to build this ourselves. Review collected by and hosted on G2.com.
Before Tonic, we needed an effective process in place for data provisioning to our dev and staging environments. Now, it's a straightforward process, taking about five minutes for jobs to run. For local development, our developers pull from a container image that's a de-identified production version and refreshed after every release. For staging, our QA team can refresh data on demand whenever they need an update. It gives our QA team and our engineers confidence in testing features. Before Tonic, we would see critical issues at least once a week that were tied to being unable to test our features accurately under real-world scenarios. We haven't had a critical issue since we fully operationalized Tonic into our software development life cycle. That was ten months ago.
The ease of setting up Tonic and managing the service ourselves is great. We knew we could plug this into our infrastructure and set it up way easier than writing our own scripts. In terms of security and compliance, the ease of being able to identify sensitive fields and apply the appropriate generators to those fields so that we aren't missing anything was a big motivator for us.
In terms of accelerating our workflows, Tonic drastically reduces the time it takes for a full regression test for all of our core features. Before, it was within two weeks for QA to get the data set up; now, they are ready to go and have tested all of the core features manually within half a day.
It's been such a great product to use. It's been huge for us, from getting it set up and the initial configuration to the support that we get to operationalizing. I have yet to find any other platforms that do what Tonic does. Review collected by and hosted on G2.com.
We maintaine the infrustructure to run Tonic, but they have Tonic cloud now so we'll migrate eventually. Review collected by and hosted on G2.com.
Before implementing Tonic, our QA and development environments looked nothing like production. Their test data platform removed a major blocker for us by enabling our teams to test at scale with data that mirrors the size, shape, and feel of our production data. And by guaranteeing privacy for HIPAA compliance, Tonic allows us to share that data safely with our off-shore development teams, too.
Their team is extremely responsive. They work closely with their customers and engage with partner vendors to make sure all systems sync. With Tonic, you get all the benefits of a smart, hungry startup—being super flexible, working hand-in-hand, iterating quickly to deploy new features—without any of the drawbacks some people fear. They have a superstar engineering team, willing to engage on every level with a white-glove approach. I can’t say enough good things about them.
As more teams at my organization became aware of Tonic, more of them wanted access to the data it's generating. It’s been a major step up in terms of what we’re able to do internally, thanks to the time we’re saving in each sprint, and how we’re able to engage with our off-shore development teams. Review collected by and hosted on G2.com.
Not particularly a dislike, but the on-prem implementation is quite a bit more difficult than a hosted one. That's not really their fault though. Review collected by and hosted on G2.com.
Tonic.ai for us, enables us to test on anonymized data with reference data architecture challenges. I think while the concept is simple, the support is what makes our engagement successful. Review collected by and hosted on G2.com.
Initial setup, testing, and getting full value took some time. Challenges on both sides but excellent collaboration to identify Tonic's core proposition. Review collected by and hosted on G2.com.
