Their website, datamimic.io, has a chatbot with one unread message, and it makes the tab title blink with “1 new message.” It’s wild to see a tech company doing something like that.
Synthetic test data generation is a massive bottleneck for AI agents. Does Datamimic support schema constraints and foreign keys across relational databases out of the box?
Yes. DATAMIMIC CE can model relational constraints including foreign keys, composite keys, parent/child relationships, cardinalities and uniqueness, and generate the corresponding data across the supported relational databases. The authoring api is already configured the way it is guiding the agent to model the existing relationship;ationship right.
There is always pace for improvement and automate more.
In our EE Platform we have a separate Service what is dealing with project environments, Schema scanning, recommendation pipelines ( for PII scanning and recommending Converters, Generators ) and build a DATAMIMIC model based on this.
In the CE we only have the parsing and execution engine of the models.
But, I think that the agent may also generate like this approach, not directly generate text, instead first writing the generation code then execute if they are the smart agent.
Interesting, I'm working on something that tries to constrain what data an agent can access, but I haven't looked at the case of using it to manage test data.
Their website, datamimic.io, has a chatbot with one unread message, and it makes the tab title blink with “1 new message.” It’s wild to see a tech company doing something like that.
:)
I’ll change that. Thanks for calling it out.
Synthetic test data generation is a massive bottleneck for AI agents. Does Datamimic support schema constraints and foreign keys across relational databases out of the box?
Yes. DATAMIMIC CE can model relational constraints including foreign keys, composite keys, parent/child relationships, cardinalities and uniqueness, and generate the corresponding data across the supported relational databases. The authoring api is already configured the way it is guiding the agent to model the existing relationship;ationship right. There is always pace for improvement and automate more. In our EE Platform we have a separate Service what is dealing with project environments, Schema scanning, recommendation pipelines ( for PII scanning and recommending Converters, Generators ) and build a DATAMIMIC model based on this. In the CE we only have the parsing and execution engine of the models.
But, I think that the agent may also generate like this approach, not directly generate text, instead first writing the generation code then execute if they are the smart agent.
Interesting, I'm working on something that tries to constrain what data an agent can access, but I haven't looked at the case of using it to manage test data.
I'll keep this in mind as I explore that case.
I thought Datomic was back.