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    <title>clickhouse</title>
    <link rel="self" type="application/atom+xml" href="https://links.biapy.com/guest/tags/847/feed"/>
    <updated>2026-06-15T01:50:10+00:00</updated>
    <id>https://links.biapy.com/guest/tags/847/feed</id>
            <entry>
            <id>https://links.biapy.com/links/12791</id>
            <title type="text"><![CDATA[Traceway]]></title>
            <link rel="alternate" href="https://tracewayapp.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12791"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Logs, Traces, Metrics, Session Replay, Exceptions.
 The only tool you need to know what is happening and how to fix it. 

Traceway is an OpenTelemetry-native observability platform that combines logs, traces, metrics, session replay/RUM, exceptions, and AI tracing together. Point an OTLP exporter at it and you&amp;#039;re in business. No Collector, no glue code, no per-language vendor SDK.

- [Traceway @ GitHub](https://github.com/tracewayapp/traceway).

Related contents:

- [A note from the creator of Traceway](https://github.com/tracewayapp/traceway/blob/main/HN.md).]]>
            </summary>
            <updated>2026-05-19T05:57:45+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12105</id>
            <title type="text"><![CDATA[Rudel]]></title>
            <link rel="alternate" href="https://rudel.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12105"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Understand how your team codes with AI.
Coding Agent Analytics for Claude Code.

Rudel gives engineering leaders visibility into Claude Code usage across their team. Track productivity, quantify ROI, and surface quality signals, automatically.

- [Rudel @ GitHub](https://github.com/obsessiondb/rudel).]]>
            </summary>
            <updated>2026-03-13T12:36:08+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10721</id>
            <title type="text"><![CDATA[Code-First CDC to ClickHouse with Debezium, Redpanda, and MooseStack]]></title>
            <link rel="alternate" href="https://github.com/514-labs/debezium-cdc" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10721"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Easy-to-run demo of a CDC pipeline using Debezium (Kafka Connect), PostgreSQL, Redpanda, and ClickHouse.]]>
            </summary>
            <updated>2025-10-20T06:22:14+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/805</id>
            <title type="text"><![CDATA[Logchef]]></title>
            <link rel="alternate" href="https://logchef.app/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/805"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Purpose-built log analytics UI for ClickHouse.

A modern, single binary, high-performance log analytics platform.

Logchef is a dedicated log query and visualization interface built specifically for ClickHouse. It fills a critical gap in the ClickHouse ecosystem, providing a powerful log explorer without reinventing log collection or storage.

- [Logchef @ ngitnhub](https://github.com/mr-karan/logchef).]]>
            </summary>
            <updated>2025-08-28T18:12:20+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1019</id>
            <title type="text"><![CDATA[tbls]]></title>
            <link rel="alternate" href="https://github.com/k1LoW/tbls" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1019"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[tbls is a CI-Friendly tool to document a database, written in Go. 

Related contents:

- [Liam ERD](https://liambx.com/).]]>
            </summary>
            <updated>2025-08-28T18:46:45+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1380</id>
            <title type="text"><![CDATA[Telescope]]></title>
            <link rel="alternate" href="https://iamtelescope.github.io/telescope/docs/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1380"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Telescope is a web application designed to provide an intuitive interface for exploring log data. It is built to work with any type of logs, as long as they are stored in ClickHouse. Users can easily configure connections to their ClickHouse databases and run queries to filter, search, and analyze logs efficiently. While ClickHouse is the primary supported storage backend, future versions of Telescope may introduce support for additional data sources.

- [Telescope @ GitHub](https://github.com/iamtelescope/telescope).]]>
            </summary>
            <updated>2025-08-28T19:47:12+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1462</id>
            <title type="text"><![CDATA[PeerDB]]></title>
            <link rel="alternate" href="https://www.peerdb.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1462"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Fast, Simple and a cost effective tool to replicate data from Postgres to Data Warehouses, Queues and Storage.

PeerDB is an ETL/ELT tool built for PostgreSQL. We implement multiple Postgres native and infrastructural optimizations to provide a fast, reliable and a feature-rich experience for moving data in/out of PostgreSQL.

- [PeerDB @ GitHub](https://github.com/PeerDB-io/peerdb).

Related contents:

- [Reliably Replicating Data Between PostgreSQL and ClickHouse Part 1 - PeerDB Open Source @ BenjaminWootton.com](https://benjaminwootton.com/insights/clickhouse-peerdb-cdc/).
- [Postgres Is the Gateway Drug @ Vignesh Ravichandran](https://viggy28.dev/article/postgres-gateway-drug/).]]>
            </summary>
            <updated>2026-03-23T16:36:55+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2090</id>
            <title type="text"><![CDATA[Chproxy]]></title>
            <link rel="alternate" href="https://www.chproxy.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2090"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Chproxy is an HTTP proxy and load balancer for ClickHouse.

- [Chproxy @ GitHub](https://github.com/ContentSquare/chproxy).]]>
            </summary>
            <updated>2025-08-28T21:44:29+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2980</id>
            <title type="text"><![CDATA[ChartDB]]></title>
            <link rel="alternate" href="https://chartdb.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2980"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Database schema diagrams visualizer.  Open-source database diagrams editor.

Free and open-source database diagrams editor, visualize and design your DB with a single query. 

ChartDB is a powerful, web-based database diagramming editor. Instantly visualize your database schema with a single &amp;quot;Smart Query.&amp;quot; Customize diagrams, export SQL scripts, and access all features—no account required. Experience seamless database design here.

- [ChartDB @ GitHub](https://github.com/chartdb/chartdb).]]>
            </summary>
            <updated>2025-09-04T09:31:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3062</id>
            <title type="text"><![CDATA[Trench]]></title>
            <link rel="alternate" href="https://www.trench.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3062"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open source analytics infrastructure. Fast and scalable. No bloat. GDPR compliant.

A single production-ready Docker image built on ClickHouse, Kafka, and Node.js for tracking events, users, page views, and interactions. 

- [Trench @ GitHub](https://github.com/FrigadeHQ/trench).]]>
            </summary>
            <updated>2025-08-29T00:28:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3735</id>
            <title type="text"><![CDATA[HyperDX]]></title>
            <link rel="alternate" href="https://www.hyperdx.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3735"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Affordable full-stack production debugging &amp;amp; monitoring. Resolve Production Issues, Fast.
An Open Source Observability Platform: Unify Session Replays, Logs, Traces, Metrics and Errors – All Without the Datadog Price Tag.

Resolve production issues, fast. An open source observability platform unifying session replays, logs, metrics, traces and errors powered by Clickhouse and OpenTelemetry. 

- [HyperDX @ GitHub](https://github.com/hyperdxio/hyperdx).

Related contents:

- [Monthly Dose of Data - November 2023 @ Data Council](https://mailchi.mp/71c4ca0f5dee/talk-submissions-close-friday-vercels-guillermo-rauch-on-latest-0p-podcast-more).]]>
            </summary>
            <updated>2025-08-29T02:19:26+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4368</id>
            <title type="text"><![CDATA[log2ck]]></title>
            <link rel="alternate" href="https://github.com/hisune/log2ck" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4368"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Real-time, high-performance reading of log files and writing to clickhouse.

This tool can write the monolog standard log directly to clickhouse in real time via the tcp protocol. If you can write regular rules, other standardized log can also support it.]]>
            </summary>
            <updated>2025-08-29T04:04:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6333</id>
            <title type="text"><![CDATA[Akvorado]]></title>
            <link rel="alternate" href="https://github.com/akvorado/akvorado" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6333"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Flow collector, enricher and visualizer.
This program receives flows (currently Netflow/IPFIX and sFlow), enrice them with interface names (using SNMP), geo information (using MaxMind), and exports them to Kafka, then ClickHouse. It also exposes a web interface to browse the collected data.]]>
            </summary>
            <updated>2025-08-29T09:33:15+00:00</updated>
        </entry>
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