Www.rlog.io query high volume of flat files using SQL or web API
Www.rlog.io query high volume of flat files using SQL or web API launched on October 1, 2017 with 6 votes, #1,370 of 3,169 launches that month and more than 50% of that year's launches.
Does a similar job
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Qlog – grep for logs, but 100x fasterMar 2026 · github.com · ▲17I built qlog because I got tired of waiting for grep to search through gigabytes of logs. qlog uses an inverted index (like search engines) to search millions of log lines in milliseconds. It's 10-100x faster than grep and way simpler than setting up Elasticsearch. Features: - Lightning fast indexing (1M+ lines/sec using mmap) - Sub-millisecond searches on indexed data - Beautiful terminal output with context lines - Auto-detects JSON, syslog, nginx, apache formats - Zero configuration - Works offline - Pure Python Example: qlog index './logs/*/*.log' qlog search "error"…
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There are a lot of APIs that provide access to these types of data, but there were not any (as far as we're aware of) tools & services that provide access to query the raw data directly for analytical purposes. We get the data across different sources and clean, schematize them in a PostgreSQL databases so folks can query/analyze the data directly. We have ~100 tables of data across stocks, ETFs, economic indicators, US/international census data and plan to keep adding more. More information on the tables are available at https://docs.wizdata.io Access to all of the data…
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