Evgeny and Arjun are developing BemiDB, a streamlined analytics solution for Postgres that simplifies complex queries and reduces data stack intricacies while ensuring compatibility with existing tools.
Apache Iceberg, Parquet, S3, DuckDB
2024-11-08
- website
Highlight 1
BemiDB simplifies the analytics workflow by being a single binary that integrates smoothly with existing Postgres setups, reducing the need for complex ETL processes.
Highlight 2
The use of Apache Iceberg and Parquet allows for bottomless storage and efficient compression, making data management both affordable and performant.
Highlight 3
The compatibility with Postgres tools and the ability to use standard SQL queries without additional overhead makes BemiDB accessible for existing Postgres users.
Improvement 1
The documentation could be more extensive, particularly around installation and configuration, to aid new users in setting up BemiDB properly.
Improvement 2
Performance benchmarking data would be valuable for users to understand the efficiency gains compared to traditional OLAP solutions.
Improvement 3
Developing a graphical user interface (GUI) could enhance usability for users who prefer visual tools over command-line interaction.
Product Functionality
Consider adding a built-in data visualization tool to enhance data exploration and interpretation directly within BemiDB.
UI & UX
Improving the onboarding process with guided tutorials or walkthroughs can help new users familiarize themselves with BemiDB's features more quickly.
SEO or Marketing
Enhance online presence through SEO optimization by targeting keywords related to analytics, Postgres, and OLAP systems, making BemiDB more discoverable.
MultiLanguage Support
Introduce multi-language support to cater to a broader audience, making the product more accessible to non-English speaking users.
- 1
What is BemiDB and how does it work?
BemiDB is a tool that enables complex analytical queries on Postgres data with reduced complexity. It uses Apache Iceberg for storage and DuckDB for fast query execution to enhance data analysis capabilities.
- 2
Is BemiDB compatible with existing Postgres tools?
Yes, BemiDB is designed to be Postgres-compatible, allowing it to work with existing tools and queries seamlessly.
- 3
What storage technology does BemiDB use?
BemiDB utilizes Apache Iceberg for its storage, which is compatible with Parquet data files stored in S3, providing an efficient and cost-effective solution.