- Honker polls PRAGMA data_version every 1ms at 3µs cost for instant detection.
- Achieves 0.7ms p50 cross-process wake latency on M-series Macs.
- Single poller thread scales to unlimited subscribers per database.
Honker.dev launches SQLite durable queues, pub/sub, streams, and cron as a SQLite loadable extension, per SQLite loadable extensions docs. Developers achieve Postgres-style NOTIFY/LISTEN via PRAGMA data_version polling every millisecond at 3µs read cost. Cross-process wake latency hits 0.7ms p50 on M-series Macs, per Honker.dev benchmarks.
One poller thread per database scales to unlimited subscribers. Fly.io LiteFS docs and Turso validate SQLite reliability at production scale. Honker.dev positions SQLite durable queues as a Redis alternative for Celery-style tasks in fintech apps.
Honker Pub/Sub Polls PRAGMA data_version for Instant Detection
Honker queries SQLite’s PRAGMA data_version every millisecond. Publishers update a dedicated table. Subscribers wake on version changes across processes.
Polling costs 3µs per read, according to Honker.dev tests. A single poller thread per database eliminates per-subscriber overhead. Developers embed full messaging without external brokers.
File-based durability suits web tools.
SQLite Durable Queues Beat Redis at 0.7ms Wake Latency
Honker targets shared SQLite files for cross-process alerts. M-series laptops deliver 0.7ms p50 latency, Honker.dev benchmarks confirm. Polling prioritizes speed over minimal idle CPU.
Redis requires network hops and 1-5ms latency. SQLite stays file-local, slashing infrastructure costs for startups.
- Metric: Wake Latency p50 · Honker (SQLite): 0.7ms · Redis: 1-5ms
- Metric: Read Cost · Honker (SQLite): 3µs/poll · Redis: Network RTT
- Metric: Poller Threads · Honker (SQLite): 1/DB · Redis: Per connection
- Metric: Idle Overhead · Honker (SQLite): 1 SELECT/ms · Redis: Keepalives
Fly.io LiteFS docs highlight similar SQLite replication gains.
SQLite Streams and Queues Boost Fintech Durability
Durable queues store tasks in transactions. Streams replay from file offsets. Pub/sub triggers on inserts for reliable processing.
Cron schedules jobs from SQLite tables with queue retries. Ethereum DeFi oracles demand this durability, as in production deployments.
Bluesky PDS runs SQLite at scale. Honker adds messaging for local fintech prototypes.
Fintech apps process high-volume trades without data loss.
Honker Slashes Redis and Celery Costs for Web Apps
Redis plus Celery needs separate datastores. Honker consolidates into one SQLite file.
Idle overhead: one SELECT per ms per database. Shared poller scales to thousands of subscribers without sharding.
Fintech startups save: AWS ElastiCache Redis t3.medium instances cost $123 USD/month as of October 2024, per AWS pricing page. Fly.io LiteFS proves production viability.
Bitcoin market cap hit $1.5 trillion USD on October 10, 2024, per CoinMarketCap data. SQLite durable queues handle trading volume without Redis overhead.
SQLite Cron Enables Self-Contained Fintech Tools
Honker parses cron expressions from tables and executes jobs durably. It chains with queues for retries and streams for audits.
Apps manage backups and alerts without daemons. Developers deploy across cloud and edge.
Fintech bots process real-time market signals reliably.
Fintech Gains from Honker SQLite Durable Queues
Trading platforms embed 0.7ms queues for order matching. Turso's libSQL extends SQLite globally; Honker enhances local functionality.
Honker advances SQLite as a full app database. Future WAL tweaks target distributed fintech systems. SQLite durable queues redefine cost-efficient infrastructure.
Frequently Asked Questions
What are SQLite durable queues in Honker.dev?
Honker uses SQLite tables for transactional task persistence. Tasks replay from offsets after crashes via PRAGMA data_version polling every 1ms.
How does Honker pub/sub hit 0.7ms latency?
Single poller detects changes at 3µs per read. Wakes subscribers cross-process on M-series at 0.7ms p50.
Why choose SQLite streams over Redis for fintech?
File-local durability cuts network costs. Matches Celery queues; scales like Fly LiteFS and Turso.
What does Honker cron add to SQLite tools?
Parses schedules from tables, executes with queue retries. Self-contained, no external daemons.
