Gel (formerly EdgeDB) vs PostgreSQL
A comparison of Gel (the database formerly known as EdgeDB, rebranded in 2025) and plain PostgreSQL, covering Gel's graph-relational query model built on top of Postgres versus using Postgres directly with standard SQL.
Quick Answer
Gel offers a graph-relational data model and its own EdgeQL query language built on top of Postgres internally, aiming to simplify complex relational queries — but Gel Cloud, its hosted service, shut down on January 31, 2026, with the team joining Vercel, leaving the open-source project in self-hosted-only limbo with no commits since December 2025. PostgreSQL remains the safer, far more actively maintained, and universally supported choice for virtually any new project in 2026.
Reviewed by TechLogHub Engineering Team. Last updated October 6, 2026. Updated to reflect the January 31, 2026 shutdown of Gel Cloud and the Gel team's move to Vercel — a major status change from Gel's positioning through most of 2025.
| Feature | Gel (formerly EdgeDB) | PostgreSQL |
|---|---|---|
| Query Language | EdgeQL (graph-relational), with SQL support added in 2025 | Standard SQL |
| Underlying Engine | Built on PostgreSQL internally | PostgreSQL itself |
| Hosted Service Status | Gel Cloud shut down January 31, 2026 | Available through dozens of independent managed providers |
| Active Development Status | No commits since December 2025 | Continuously, actively maintained |
| Self-Hosting Option | Technically possible, unclear long-term support | Fully supported and extremely well documented |
| Team Status | Team joined Vercel after the shutdown | Broad open-source community, no single-vendor dependency |
Gel (formerly EdgeDB)
A database that layers a graph-relational data model and its own EdgeQL query language on top of PostgreSQL internally, rebranded from EdgeDB to Gel in late 2025 — but whose hosted Gel Cloud service shut down on January 31, 2026, with the team joining Vercel.
Pros
- EdgeQL's graph-relational query model can express certain complex, deeply nested relational queries more concisely than equivalent SQL
- Built on top of Postgres internally, meaning its underlying storage engine benefits from Postgres's maturity and reliability
- Migration tooling was historically cited as a standout strength for teams wanting to try it gradually alongside existing Postgres usage
- The 2025 rebrand added support for querying with plain SQL alongside EdgeQL, easing gradual adoption
- Strong access-policy framework integrated tightly with the database itself for fine-grained authorization
Cons
- Gel Cloud, the hosted managed service, shut down entirely on January 31, 2026 — there is currently no supported hosted option
- The Gel team joined Vercel following the shutdown, and the open-source project has seen no commits since December 2025, raising real questions about its ongoing maintenance
- Self-hosting remains technically possible, but without active development or a clear roadmap, this is a genuine risk for any new production dependency
- Much smaller ecosystem, community, and available talent pool than PostgreSQL, even before the current uncertainty
Best For
Practically speaking, not recommended for new production projects as of mid-2026 given the Gel Cloud shutdown and the apparent pause in active development — existing Gel/EdgeDB users should closely monitor the project's status and have a migration plan.
PostgreSQL
The leading open-source relational database, actively maintained, with strict SQL standards compliance and an enormous ecosystem of hosting providers, ORMs, and tooling, now widely regarded as the default database choice for new applications.
Pros
- Actively, continuously developed with a strong, well-resourced open-source community and no single-company shutdown risk
- Available through an enormous number of managed hosting providers (Neon, Supabase, RDS, Google Cloud SQL, and many more), meaning no dependency on any single vendor's continued existence
- Standard SQL — the most widely known query language, with the largest available talent pool and troubleshooting resources of any database
- Extension ecosystem (pgvector, PostGIS, and more) extends it well beyond traditional relational use cases without needing a different database
- First-class support in virtually every ORM and framework, the default recommendation for new projects across nearly every ecosystem
Cons
- Standard SQL, while powerful, can require more verbose queries for certain deeply nested relational patterns that a graph-relational query language like EdgeQL was designed to express more concisely
- No single project 'owns' the innovation the way a specialized layer like Gel aimed to provide on top of it
- Horizontal scaling requires more deliberate architecture than some newer, natively distributed database designs
- As a general-purpose relational database, doesn't have built-in graph-query ergonomics without extensions or application-level abstraction
Best For
Virtually any new project in 2026 — the safe, actively maintained, vendor-independent default for relational data, backed by the largest ecosystem of hosting providers, tooling, and community support of any database.
What Gel Was Trying to Solve
Gel (as EdgeDB) was built on the premise that deeply nested relational queries — the kind that require many joins in standard SQL — could be expressed far more concisely and intuitively through a graph-relational query language (EdgeQL) that treats relationships as first-class query primitives rather than requiring explicit join syntax every time. This is a genuinely interesting technical idea, and the project's benchmarks and migration tooling were well-regarded by developers who tried it, including the 2025 addition of native SQL support to ease gradual adoption without committing entirely to EdgeQL.
The January 2026 Shutdown Changes Everything Practically
Regardless of Gel's technical merits, the practical situation as of mid-2026 is that Gel Cloud — its hosted, managed service — shut down entirely on January 31, 2026, and the project's team joined Vercel. The open-source, self-hostable core reportedly hasn't seen a commit since December 2025. This combination — no hosted option, no clear active development, and an uncertain roadmap — means recommending Gel for any new production project right now would be genuinely irresponsible, regardless of how compelling its query language design might be in the abstract.
Why PostgreSQL's Vendor Independence Matters Here
This situation is a useful, concrete illustration of why PostgreSQL's status as a widely-adopted, actively-maintained open standard — rather than any single company's product — is a genuine practical advantage independent of feature comparisons. PostgreSQL is available through dozens of independent hosting providers (Neon, Supabase, AWS RDS, Google Cloud SQL, and many more), so no single company's business decisions can create the kind of sudden availability gap that Gel Cloud's shutdown created for its users.
What Existing Gel/EdgeDB Users Should Do
Teams currently running Gel or EdgeDB in production should treat the current situation as a serious signal to evaluate migration options, given the uncertainty around ongoing maintenance and support. Since Gel is built on top of PostgreSQL internally, and its 2025 update added native SQL support, there may be a more tractable migration path to plain PostgreSQL than starting from a completely different database architecture — but this requires careful planning and testing rather than assuming continuity of the current setup.
Verdict
For any new project as of mid-2026, PostgreSQL is the clear, safe recommendation. Gel's graph-relational query model was a genuinely interesting technical idea, and its migration tooling and gradual-SQL-adoption path were real strengths, but the January 2026 shutdown of Gel Cloud and the apparent halt in active development (no commits since December 2025, team moved to Vercel) mean it's not currently a responsible choice for a new production dependency. If you're already running Gel/EdgeDB, closely monitor the project's status and have a concrete plan to migrate to plain Postgres if the situation doesn't improve.