Editorial take
Why it stands out
YugabyteDB should be presented as a serious distributed-database platform choice, not as just another managed Postgres SKU.
Loading
Tool profile
Distributed PostgreSQL-compatible database with open-source roots and Aeon managed cloud pricing based on vCPU, storage, and data transfer.
Distributed operational databases with PostgreSQL compatibility
YugabyteDB is worth adding because it is one of the more serious distributed SQL databases for teams that want PostgreSQL-style development ergonomics combined with horizontal scale, resilience, and multi-region deployment options. It competes in the same broad problem space as CockroachDB, but it brings its own operational model, cloud packaging, and ecosystem story.
The current YugabyteDB Aeon pricing page is fairly specific. Standard starts at $125 per vCPU per month, Professional starts at $167 per vCPU per month, and Enterprise is custom. Storage, backup storage, and data transfer are billed separately. The official docs also make clear that the open-source database is free to download and use, while Aeon is the commercial managed service. That split is important because teams can evaluate the database architecture without immediately committing to the managed bill.
Quick fit
Editorial take
YugabyteDB should be presented as a serious distributed-database platform choice, not as just another managed Postgres SKU.
What it does well
Primary use cases
Fit notes
Compare with
Pressure-test this pick against nearby alternatives.
Pricing snapshot
YugabyteDB Aeon Standard starts at $125 per vCPU per month, Professional starts at $167 per vCPU per month, and Enterprise is custom. Storage, backups, and data transfer are billed separately. The open-source YugabyteDB database is free to use, and Aeon also offers a free trial and sandbox path for evaluation.
Alation
PaidEnterprise data catalog
Enterprise data intelligence and catalog platform for search, governance, trust, and AI-ready knowledge layers over organizational data.
Choose Alation when the buying problem is enterprise trust, governance, and discoverability across data assets.
