Catomize
Real-time data sync to grow e-commerce revenue
What it does
What differentiates us most is our event-driven architecture. While most platforms rely on cache layers and scheduled batch syncs, we stream inventory and catalog updates instantly across all systems. No stale cache, no delayed polling — just real-time truth. Catomize acts as a system-level data integrity layer, eliminating phantom inventory, overselling, and performance trade-offs at scale.
Does the same job
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Hey HN, Arroyo is a modern, open-source stream processing engine, that lets anyone write complex queries on event streams just by writing SQL—windowing, aggregating, and joining events with sub-second latency. Today data processing typically happens in batch data warehouses like BigQuery and Snowflake despite the fact that most of the data is coming in as streams. Data teams have to build complex orchestration systems to handle late-arriving data and job failures while trying to minimize latency. Stream processing offers an alternative approach, where the query is compiled into a streaming…
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