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Alternatives

Products that do what Eventum does

Realistic synthetic events for testing, demos, and pipelines

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    Remix93

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    Custom API endpoints with realistic fake data in seconds

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  14. 14LI

    Hi everyone, If you have a Java Spring Boot application with a PostgreSQL database, you can implement Event Sourcing without introducing new specialized databases or frameworks. If you have an application dealing with an entity called Order, you should adopt Event Sourcing to keep track of all changes, and know how the Order got into the current state. Event Sourcing gives you: 1. the true history of the system (audit and traceability), 2. the ability to put the system in any prior state (debugging), 3. the ability to create read projections from events as needed to respond to new demands.…

    2023 · github.com

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    Ballpark240

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  16. 16DT

    I built DDL to Data after repeatedly pushing back on "just use production data and mask it" requests. Teams needed populated databases for testing, but pulling prod meant security reviews, PII scrubbing, and DevOps tickets. Hand-written seed scripts were the alternative slow, fragile, and out of sync the moment schemas changed. Paste your CREATE TABLE statements, get realistic test data back. It parses your schema, preserves foreign key relationships, and generates data that looks real, emails look like emails, timestamps are reasonable, uniqueness constraints are honored. No setup, no…

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    Expect109

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    DataFairy113

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  20. 20TD

    Hey HN, I'm Marcel from Tusk. We’re launching Tusk Drift, an open source tool that generates a full API test suite by recording and replaying live traffic. How it works: 1. Records traces from live traffic (what gets captured) 2. Replays traces as API tests with mocked responses (how replay works) 3. Detects deviations between actual vs. expected output (what you get) Unlike traditional mocking libraries, which require you to manually emulate how dependencies behave, Tusk Drift automatically records what these dependencies respond with based on actual user behavior and maintains recordings…

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  23. 23CG

    Hey HN! I’m Gal, co-founder at Checksum (https://checksum.ai). Checksum is a tool for automatically generating and maintaining end-to-end tests using AI. I cut my teeth in applied ML in 2016 at a maritime tech company called TSG, based in Israel. When I was there, I worked on a cool product that used machine learning to detect suspicious vehicles. Radar data is pretty tough for humans to parse, but a great fit for AI – and it worked very well for detecting smugglers, terrorist activity, and that sort of thing. In 2021, after a few years working in big tech (Lyft, Google), I joined…

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