Hey HN! We’re Evgeny and Arjun. We’ve built a managed version of BemiDB that syncs with your existing PostgreSQL database and gives you fast analytical queries without heavy ETL pipelines.
BemiDB Cloud automatically replicates your data into an Apache Iceberg table stored in your own S3-compatible bucket. The data is compressed columnar Parquet under the hood. We embed DuckDB for query execution, and we speak the Postgres wire protocol so you can use all your existing ORMs, BI tools, or notebooks.
We’ve seen teams push Postgres read replicas too far for analytics or wrangle big ETL flows. We’re aiming for something simpler. Instead of standing up a data warehouse with complex pipelines, you can point BemiDB at your Postgres instance, click to sync, and start querying. All data remains in an open format so you aren’t locked in.
BemiDB Cloud automatically replicates your data into an Apache Iceberg table stored in your own S3-compatible bucket. The data is compressed columnar Parquet under the hood. We embed DuckDB for query execution, and we speak the Postgres wire protocol so you can use all your existing ORMs, BI tools, or notebooks.
We’ve seen teams push Postgres read replicas too far for analytics or wrangle big ETL flows. We’re aiming for something simpler. Instead of standing up a data warehouse with complex pipelines, you can point BemiDB at your Postgres instance, click to sync, and start querying. All data remains in an open format so you aren’t locked in.
We’d love your feedback! Check us out at https://bemidb.com and our open source repo at https://github.com/BemiHQ/BemiDB. What do you think?