Alternatives
Products that do what Catomize does
Real-time data sync to grow e-commerce revenue
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Hi HN, James, Valter, Sam and the team from ElectricSQL here. We're really excited to be sharing ElectricSQL with you today. It's an open source, local-first sync layer that can be used to build reactive, realtime, offline-capable apps directly on Postgres with two way active-active sync to SQLite (including with WASM in the browser). Electric comprises a sync layer (built with Elixir) placed in front of your Postgres database and a type safe client that allows you to bidirectionally sync data from your Postgres to local SQLite databases. This sync is CRDT-based, resilient to conflicting…
2023 · electric-sql.com
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- 11AW
Hey HN, Arroyo is a modern, open-source stream processing engine, that lets anyone write complex queries on event streams just by writing SQL—windowing, aggregating, and joining events with sub-second latency. Today data processing typically happens in batch data warehouses like BigQuery and Snowflake despite the fact that most of the data is coming in as streams. Data teams have to build complex orchestration systems to handle late-arriving data and job failures while trying to minimize latency. Stream processing offers an alternative approach, where the query is compiled into a streaming…
2023 · github.com
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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
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Multichannel inventory & order sync without overselling
Feb 2026
- 20AB
we've been working on a KV store for the past year or so which is 2-6x faster than Redis (benchmark link below) yet disk persisted! so you get the speed of in-memory KV stores but with disk persistence. To achieve this we've created our custom filesystem that is optimized for our special usecase and we're doing smart batching for writes and predictive fetching for reads. In addition to basic operations, it also provides atomic inc/dec, atomic json patch, range scans and a unique key monitoring mechanism (pub-sub) over WebSockets which essentially allows you to receive notification on…
2025 · hpkv.io
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I’ve been building for 5 years. I rewrote it 4 times (Blazor Server -> Blazor WASM + Asp backend -> React + Node -> Ruby on Rails - Ruby and Rails are both awesome btw.) and kept telling myself I was “improving the architecture” when I was really avoiding release. I also spun up a few side projects in that period and shipped none of them. This is the first one I finally pushed live. It’s Upzone, an inventory app for ecommerce warehouse teams: receiving, bin locations, pick/pack/ship workflows, and Shopify/Amazon/... sync. Built on Rails 8, which has been genuinely great…
Mar 2026 · upzonehq.com
- 24AH
Hi HN, I’m Ignacio, founder at Basekick Labs. Over the past months I’ve been building Arc, a time-series data platform designed to combine very fast ingestion with strong analytical queries. What Arc does? Ingest via a binary MessagePack API (fast path), Compatible with Line Protocol for existing tools (Like InfluxDB, I'm ex Influxer), Store data as Parquet with hourly partitions, Query via DuckDB engine using SQL Why I built it: Many systems force you to trade retention, throughput, or complexity. I wanted something where ingestion performance doesn’t kill your analytics. Performance &…
Oct 2025 · github.com
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