We rewrote a core component of our cloud infrastructure in four months, which is absolutely mind-blowing. Without Antithesis, I would never have approved that project.
Antithesis helps database companies improve code quality, ensure reliability, and do more with the same team.
Guarantee your guarantees
Catch “unknown unknowns” that lead to data loss, corrupted state, or other violated guarantees.
Reduce testing toil
Massively reduce the number of tests you need to write and maintain. Debug at light speed.
Launch faster
Shift testing left, iterate faster, and deploy with confidence.
Antithesis turned testing into a dialogue. Instead of asserting what I already knew, I was constantly learning what I didn’t. That feedback loop exposed subtle design flaws, false assumptions, and concurrency edge cases buried deep in Graft’s replication engine.
Antithesis fits seamlessly into your existing development flow
Enduring properties, not brittle tests
Define how your database should behave, instead of continually updating tests to try and match your code.
Perfect reproductions, not heisenbugs
Stop wasting time on flaky reproductions. Antithesis offers full determinism and perfect reproducibility of every bug caught.
Perfect reproductions, not heisenbugs
Stop wasting time on flaky reproductions. Antithesis offers full determinism and perfect reproducibility of every bug caught.
Detailed artifacts, not more log lines
Unique analytics give you detailed, intuitive, debugging tools to accelerate your fixes and make them stick.
Intelligent exploration, not limited pathways
Antithesis explores massive state spaces efficiently and autonomously, rather than relying on human input or imagination.
Intelligent exploration, not limited pathways
Antithesis explores massive state spaces efficiently and autonomously, rather than relying on human input or imagination.
Antithesis has the potential to really transform how we test systems. Already, I think it has the ability to save businesses a lot of money – it has the potential today, I think, to save millions in cloud costs for most businesses.
