Alternatives
Products that do what Code First CDC from Postgres to ClickHouse with MooseStack does
- 1PS
Hello HN, I am Sai Srirampur, one of the Co-founders of PeerDB. (https://github.com/PeerDB-io/peerdb). We spent the past 7 months building a solid experience to replicate data from Postgres to data warehouses. Now we're expanding to queues. PeerDB Streams provides a simple and native way to replicate changes as they happen in Postgres to Queues (Kafka, Redpanda, Google PubSub, etc). We use Postgres logical decoding to enable Change Data Capture (CDC). Blog post here: https://blog.peerdb.io/peerdb-streams-simple-native-postgres.... 10-min quickstart here:…
2024
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- 3MP
Hello HN, this is Sai and Kaushik from ClickHouse. Today we are launching a Postgres managed service that is natively integrated with ClickHouse. It is built together with Ubicloud (YC W24). TL;DR: NVMe-backed Postgres + built-in CDC into ClickHouse + pg_clickhouse so you can keep your app Postgres-first while running analytics in ClickHouse. Try it (private preview): https://clickhouse.com/cloud/postgres Blog w/ live demo: https://clickhouse.com/blog/postgres-managed-by-clickhouse Problem Across many fast-growing companies using Postgres,…
Jan 2026
- 4MD
Hey HN, I’m an engineer at Supabase [0] and one of the creators of this demo. My team and I have been working hard to bring developers the next version of Supabase Realtime. The current version of Realtime [1] is a Change Data Capture (CDC) server for a PostgreSQL database that broadcasts changes via WebSockets to authorized subscribers. It’s written in Elixir/Phoenix. The server utilizes PostgreSQL’s logical replication functionality, which writes database changes to Write-Ahead Logging (WAL) segment files, and a replication slot, responsible for managing and retaining WAL files.…
2022 · multiplayer.dev
- 5SO
Hello! For the past year I’ve been working on a fully-managed data warehouse built on Clickhouse. I built this because I was frustrated with how much work was required to run an OLAP database in prod: re-writing my app to do batch inserts, managing clusters and needing to look up special CREATE TABLE syntax every time I made a change. I found pricing for other warehouses confusing (what is a “credit” exactly?) and worried about getting capacity-planning wrong. I was previously building accounting software for firms with millions of transactions. I desperately needed to move from Postgres to…
2023 · github.com
- 6CL
Me with my friend Vitaly Ludvichenko made an experiment to combine ClickHouse server and client to make a self-contained program running a database engine and processing data without a server: https://github.com/ClickHouse/ClickHouse/pull/150 Development continued in the past 6 years, and now clickhouse-local becomes a swiss-army knife for data processing. Say "ffmpeg" for datasets and more. It can resemble textql, octosql, dsq, duckdb, trdsql, q, datafusion-cli, spyql, but has better capabilities and performance. Here is a tutorial:…
2023 · clickhouse.com
- 7PR
Jan 2026 · github.com
- 8
- 9SD
2018 · github.com
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- 12CO
Hey HN! Mike & Warren here from HyperDX (now part of ClickHouse)! We’ve been building ClickStack, an open source observability stack that helps you collect, centralize, search/viz/alert on your telemetry (logs, metrics, traces) in just a few minutes - all powered by ClickHouse (Apache2) for storage, HyperDX (MIT) for visualization and OpenTelemetry (Apache2) for ingestion. You can check out the quick start for spinning things up in the repo here: https://github.com/hyperdxio/hyperdx ClickStack makes it really easy to instrument your application so you can go…
2025 · github.com
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- 16LI
Hi everyone, If you have a Java Spring Boot application with a PostgreSQL database, you can implement Event Sourcing without introducing new specialized databases or frameworks. If you have an application dealing with an entity called Order, you should adopt Event Sourcing to keep track of all changes, and know how the Order got into the current state. Event Sourcing gives you: 1. the true history of the system (audit and traceability), 2. the ability to put the system in any prior state (debugging), 3. the ability to create read projections from events as needed to respond to new demands.…
2023 · github.com
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- 18MO
2025 · docs.fiveonefour.com
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- 20GE
Hi HN, My name is JR and I had a need for a simple analytics solution that allowed me to store (timestamp, json) logs and run SQL over them. It was hard to find the right solution. Solutions like Mixpanel and Amplitude optimized for particular report types. Whereas solutions like Snowflake, BigQuery, etc. required a lot of setup. I built GraphJSON to fit in the middle. I strived for the ease of use of tools like Mixpanel and Amplitude, but wanted to ensure affordances were built to support use cases that big data warehouses enable. Under the hood, GraphJSON is powered by ClickHouse. This…
2022 · graphjson.com
- 21DA
Dear HN, I am Riwaj, the cofounder of dstack.ai (https://github.com/dstackai). A few months ago, we built an online service that allows users to publish data visualizations from Python or R. The idea was to build a tool that did not require additional programming or front-end development for publishing data visualizations. Such a code can be invoked from either Jupyter notebook, RMarkdown, Python, or R scripts. Once the data is pushed, it can be accessed via a browser. Open-sourcing dstack: During our customer discovery phase, we realized that dstack.ai should integrate a lot…
2020
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- 24DT
2021 · github.com
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