Parquet vs Proprietary Formats: Why Standard Storage Matters

Your time-series data shouldn't be trapped in formats only one tool can read. Here's why we built Arc on Parquet, and what 'portable data' actually means.
Continue reading->Real stories, technical insights, and product news. Everything about Arc and how we make your data work for you.

Your time-series data shouldn't be trapped in formats only one tool can read. Here's why we built Arc on Parquet, and what 'portable data' actually means.
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We rewrote Arc from Python to Go. 9.47M records/sec. No memory leaks. Single binary. Here's why we did it and what it means for you.
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Four live demos running on a single Arc instance with real-time vessel tracking, flight tracking, weather monitoring, and system metrics. Watch Arc handle millions of sensor readings with sub-100ms query times. No sandbox—this is production.
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From San Francisco Bay to Miami port - build a production-ready maritime tracking system that sustains 4.21M sensor readings per second. Watch thousands of vessels move in real-time on your dashboard.
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Deep dive into Arc's DELETE implementation: why we chose file rewrites over tombstones, how partition pruning will make deletes 10-100x faster, and the trade-offs of immutable Parquet storage.
Continue reading->Deploy Arc in minutes. Own your data in Parquet.