Librarian: A Modern Alternative to Kafka Connect

Hacker News

Introducing Librarian: A Modern Alternative to Kafka Connect We're excited to share Librarian, an open-source database replicator built for the cloud-native era. The Problem We're Solving: Traditional CDC solutions like Kafka Connect require JVM runtime, complex connector management, and expose generic infrastructure metrics that don't help you debug data pipelines. We built Librarian to change that. What Makes Librarian Different: Single Binary - No JVM, no external dependencies, no connector management. Just run it. Truly Lightweight - Runs on modest hardware with minimal resource overhead Pipeline-First Observability - Built-in stats server that shows what matters: events processed, bytes transferred, and error counts—not garbage collection metrics Native Replication - Uses MongoDB Change Streams and PostgreSQL logical replication for efficient, real-time CDC Debezium Compatible - Drop-in replacement for existing Debezium consumers Supported Today: - Sources: MongoDB, PostgreSQL - Targets: Kafka, S3 (Parquet), Local filesystem Get Started in Minutes: Stream MongoDB changes to Kafka with a single command. No configuration files, no cluster setup—just a simple URL-based connection string and you're streaming data. Librarian is open source (MIT license). We'd love your feedback as we continue building. Check it out: github.com/turbolytics/librarian Thank you!

Visit product View on Hacker NewsNov 20, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: single, open · Missing: mac, agents, macos

91%91% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Strong signals: started, compatible · Missing: supports, reddit linkedin, podcasting

85%85% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: excited, exist, open source · Missing: https docs, just released, lua

79%79% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: efficient · Missing: plus, platform, intuitive

30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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