Alternatives
Products that do what Qlog – grep for logs, but 100x faster does
I 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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Hi folks, Quickwit cofounder here. We started Quickwit 3 years ago with a POC, "Searching the web for under $1000/month" (see HN discussions [0]), with the goal of making a robust OSS alternative to Elasticsearch / Splunk / Datadog. We have reached a significant milestone with our latest release (0.7) [1], as we have witnessed users of the nightly version of Quickwit deploy clusters with hundreds of nodes, ingest hundreds of terabytes of data daily, and enjoy considerable cost savings. To give you a concrete example, one company is ingesting hundreds of terabytes of logs daily…
2024 · github.com
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My immediate reaction to today's news that Splunk was being acquired was to comment in the HN discussion for that story: "I hated Splunk so much that I spent a couple days a few months ago writing a single 1200 line python script that does absolutely everything I need in terms of automatic log collection, ingestion, and analysis from a fleet of cloud instances. It pulls in all the log lines, enriches them with useful metadata like the IP address of the instance, the machine name, the log source, the datetime, etc. and stores it all in SQlite, which it then exposes to a very convenient web…
2023 · github.com
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We just released a major upgrade to SigNoz with support for Logs management based on ClickHouse. Would love to get any feedback from the community here on what you think and any questions you may have for us Many big companies like Uber and Cloudflare have been shifting to ClickHouse as their main workhorse for Logs management seeing much better performance. for e.g Cloudflare recently shifted from Elastic to ClickHouse and are seeing 8x improvement in memory/cpu resource requirement in ingestion. This is our first release with Logs support and we have added support for: - Filtering…
2022 · github.com
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I don't like the existing query languages for Elasticsearch and Grafana Loki, because they are too awkward to use for typical logs' investigation cases. So I designed new query language - LogsQL - and wrote reference implementation for it as a part of VictoriaLogs - an open source database for logs. LogsQL is based on the following principles: - Simplicity. It is easy to write typical queries over logs in it. For example, a single word `error` is a valid LogsQL query, which returns all the logs with the `error` word. Another example is `_time:5m error`, which returns all the logs with the…
2024 · docs.victoriametrics.com
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Hey guys, I'm building erlog to try and solve problems with logging. While trying to add logs to my application, I couldn't find any lightweight log platform which was easy to set up without adding tons of dependencies to my code, or configuring 10,000 files. ErLog is just a simple go web server which batch inserts json logs into an sqlite3 server. Through tuning sqlite3 and batching inserts, I find I can get around 8k log insertions/sec which is fast enough for small projects. This is just an MVP, and I plan to add more features once I talk to users. If anyone has any problems with…
2023 · github.com
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I kept re-Googling the same flags, so I built a tiny, fast directory of copy-ready CLI commands. It’s static (vanilla JS), instant search, keyboard nav (↑/↓ + Enter), favorites (localStorage), and linkable queries. Examples: • grep errors → https://www.greppers.com/?q=grep%20error%20logs • list open ports (macOS) → https://www.greppers.com/?q=list%20open%20ports • show git branch graph → https://www.greppers.com/?q=git%20graph • tail with colors → https://www.greppers.com/?q=tail%20colors Tech notes: static site on Netlify, no…
Sep 2025 · greppers.com
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Hi Everyone! Kubetail is a general-purpose logging dashboard for Kubernetes, optimized for tailing logs across multi-container workloads in real-time. With Kubetail, you can view logs from all the containers in a workload (e.g. Deployment or DaemonSet) merged into a single chronological timeline, delivered to your browser or terminal. I launched Kubetail on HN last year and at that time the top request was to add search. Now I'm happy to say we finally have search available in our latest official release (cli/v0.4.3, helm/v0.10.1). You can check it out in action here:…
2025 · github.com
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For more background and technical details, I wrote this up as well: https://dmitryfrank.com/projects/nerdlog/article
2025 · github.com
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Hello all! I built Glintlog because I wanted a simple way to aggregate logs without spinning up Elasticsearch, Loki, or a SaaS that costs my kidney… What it is: A self-hosted log aggregation tool that runs as a single binary. No Docker, no dependencies, no config files required. How it works: ``` curl -fsSL https://raw.githubusercontent.com/ibero-data/glintlog/main/s... | bash ``` That's it. Open localhost:8080 and you have a log viewer with search, filtering, and live tail. Tech: - Go backend with embedded DuckDB for storage - Native OTLP support (gRPC on 4317,…
Feb 2026 · glintlog.com
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2022 · github.com
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There are multiple programs for working with log files, both inside and outside of the terminal. These tools are feature rich and functional and offer lots of control to the user. However, a lot of the time I found myself just opening raw log files in `less`. I enjoy the simplicity of quickly skimming through the logs, but it was difficult when the wall of text was in one color. For this reason, I created a command line tool called `tailspin` (the name is a take on the `tail` command) that did one thing: highlighting of log files. It is configurable, but requires no setup. It defaults to…
2023 · github.com
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Hello everyone, there are many log services available and this is my attempt at a better one. Most online logging tools feature convoluted UIs, arbitrary mandatory fields, questionable AI/insights, complex pricing, etc. I hope my application fixes most of these issues. It also has some nice features, such as automatic Geo IP checks and public dashboards. Although I've created lots of software, this is my first open source application (MIT license), the tutorial for selfhosting is hopefully sufficient! Most of my development career has been with C#, NodeJS and PHP. For this project I've…
2025 · txtlog.net
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2023 · github.com
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Hi HN, Mike and Warren here! We're excited to share some (early) work towards our next major version of HyperDX. HyperDX makes it easy to visualize/search logs & traces on top of Clickhouse (so incident & bug investigations hopefully go by a little easier). For example, if a team is thinking of migrating to Clickhouse for their observability data warehouse [1][2][3] usually due to cost or data privacy reasons, they can easily throw HyperDX on top to do the UI layer for analysis and dashboarding in a dev-friendly way (aka not needing to type paragraphs of SQL to find some logs) Over the…
2024 · github.com
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Hey HN! I’m Karan, creator of Logchef (https://logchef.app), an open-source log viewer built specifically for exploring logs stored in ClickHouse. This tool grew directly out of my $day job managing massive log volumes. Like many orgs, we migrated our log workloads to ClickHouse for its performance, but found the ecosystem lacked dedicated UI tooling for actually browsing and analyzing those logs effectively. We were using Metabase, and while great for general BI, it wasn't designed for log exploration workflows. Common pain points included: - Clunky Ad-hoc Querying:…
2025 · github.com
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We built Gonzo to make log analysis faster and friendlier in the terminal. Think of it like k9s for logs — a TUI that can ingest JSON, text, or OpenTelemetry (OTLP) logs, highlight and boil up patterns, and even run AI models locally or via API to summarize logs. We’re still iterating, so ideas and contributions are welcome!
2025 · github.com
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Founder here, Parseable is a lightweight log ingestion and query engine written in Rust. Parseable can ingest data from existing logging agents (FluentBit, LogStash, Vector, syslog-ng and more) using HTTP + JSON output. Ingested logs are stored as semi-indexed Parquet files (on disk or S3). You can query the data with builtin query engine using SQL or use a query engines of choice like Spark, Presto, Trino and so on. We also developed a Grafana data source plugin that lets you visualise log data via Grafana. Sample dashboard link in readme. As log data grew, our industry has responded with…
2023 · github.com
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