<@U04SE163WC8> what would you recommend in place o...
# ask-ai
g
@kapa.ai what would you recommend in place of a bigquery? Maybe an opensource alternative that is very reliable and can execute very fast queries on lots of data.
k
For an open-source alternative to Google BigQuery that is reliable and can execute very fast queries on large amounts of data, you might consider using PostgreSQL. PostgreSQL, commonly referred to as Postgres, is an enterprise-grade object-relational database management system (ORDBMS). It has a robust architecture that can accommodate both SQL (relational) and JSON (non-relational) queries, making it versatile for various data needs. PostgreSQL is known for its reliability, stability, and compliance measures, and it supports a wide range of SQL functions like triggers, sub-queries, foreign keys, and user-defined functions. Here are some key points about PostgreSQL: - Open-Source: PostgreSQL is free from corporate control and supports various operating systems, including Windows, macOS, Linux, and UNIX. - Performance: It is designed to handle a wide range of workloads, from single machines to data warehouses or web services with many concurrent users. - Extensibility: PostgreSQL is highly extensible. For example, you can define your own data types, index types, and functional languages. - Community and Support: Being open-source, it has a large and active community that contributes to its continuous improvement and provides extensive support. For more detailed information on PostgreSQL, you can refer to the [tutorial on how to use PostgreSQL DISTINCT with examples](https://airbyte.com/tutorials/how-to-use-postgresql-distinct). If you are looking for a more specialized OLAP database, you might also consider Cumul.io. However, note that Cumul.io is more suited for read-heavy operations and may not be as efficient for frequent small write operations. For best performance, it is recommended to synchronize larger amounts of data less frequently. For more information on Cumul.io, you can refer to the [documentation on pushing data to Cumul.io](https://docs.airbyte.com/integrations/destinations/cumulio#pushing-data). If you need further assistance or have specific requirements, feel free to ask!