Home/Compare/graphql-spec vs Hasura

graphql-spec vs Hasura

An in-depth side-by-side comparison of graphql-spec and Hasura across ratings, pricing, features and community sentiment.

0 views 0 community votesCommunity winner: Hasura
Best rated
Hasura
4.5 · 500 reviews
Best entry price
Free tiers available
Zero-cost starting plan
Most reviewed
Hasura
500 verified reviews · 0 community votes
Overall winner
Hasura logo
Hasura
4.5 · 500 reviews

Edges ahead by 4.5 pts in overall rating across 2 compared products.

View winner
Overall rating trend
Last 6 months
graphql-spec logo
graphql-spec
0 reviews
0.0
-1.00
Hasura logo
Hasura
500 reviews
4.5
+0.36

Which one is right for you?

Quick guidance based on team size, budget and priorities.

Choose graphql-spec if…
  • You're one of buyers that need dedicated support and SLAs.
  • You're one of prototyping and early validation.
  • You're one of cross-functional teams needing wide integrations.
graphql-spec
0.0
Learn more
Choose Hasura if…
  • You're one of large deployments with custom integrations.
  • You're one of teams that prioritize UX polish over price.
  • You're one of .
Hasura
4.5
Learn more

Product comparison

Comparing 2 products

graphql-spec logo

graphql-spec

GraphQL is a query language and execution engine tied to any backend service.

0.0
(0)
Hasura logo

Hasura

Accelerate application development with instant GraphQL APIs and built-in data authorization.

4.5
(500)
Winner
Ratings & reviews
Overall rating
0.0
4.5
Review volume
0
500
Community preference
0%
0%
Key features
Featured by editors
Not available
Not available
Public pricing
Not available
Not available
Free tier available
Not available
Not available
Self-serve signup
Included
Not available
Pricing modelfreeSubscription
Pricing
Starting at

Contact sales

Custom enterprise

Contact sales

Custom enterprise

Resources
Official links

Capability deep-dive

Feature parity across deployment, security, support and integrations.

Deployment & Access

Cloud-hosted (SaaS)
Yes
Yes
Self-serve signup
Yes
No
Mobile / native apps
Yes
No
Public API access
Yes
Yes

Security & Compliance

SSO / SAML
No
Yes
SOC 2 Type II
No
Yes
GDPR-ready
Yes
Yes
Role-based permissions
Yes
Yes

Support & Onboarding

24/7 support
No
No
Dedicated CSM
No
No
Guided onboarding
No
Yes
Knowledge base
Yes
Yes

Integrations & Extensibility

Zapier / Make
Yes
Yes
Webhooks
Yes
Yes
Marketplace / apps
No
Yes
Custom scripting / SDK
Yes
No

Best for

Segment
graphql-spec
Hasura
Startups
Fair
Fair
Mid-market
Good
Excellent
Enterprise
Excellent
Excellent
Regulated
Excellent
Excellent
Rating distribution
graphql-spec
0 reviews · 0.0
5
47%
4
37%
3
11%
2
4%
1
1%
Hasura
500 reviews · 4.5
5
53%
4
35%
3
6%
2
3%
1
3%

graphql-spec vs Hasura — FAQ

Is graphql-spec better than Hasura?+

Based on aggregated reviews, Hasura scores 4.5/5 across 500 reviews vs 0.0/5 for graphql-spec. The gap is meaningful but the right choice depends on your workflow — see the "Choose if…" panels above.

How much does graphql-spec cost compared to Hasura?+

Both products offer starter tiers with no upfront cost. Real spend depends on seats, usage and add-on features, so run a 14-day pilot before committing.

Can I switch from graphql-spec to Hasura?+

Yes. Both platforms provide export tooling and open APIs. Plan for a data migration window (typically 1–3 weeks), user re-training, and a parallel-run period so power users aren't left stranded.

Which one is easier to get started with?+

Hasura offers a self-serve free entry point, which usually means faster time-to-value. Enterprise-oriented options require a sales conversation but include hands-on onboarding.

Do graphql-spec and Hasura integrate with the same tools?+

There's meaningful overlap — both plug into common productivity and analytics stacks. Check the Integrations matrix above for the specific connectors and API surface you need.

Bottom line

Hasura takes the edge on aggregated user sentiment (4.5★ vs 0.0★) and is the safer default for teams that value polish and community volume. Pick graphql-spec if your priorities lean toward zero-cost adoption, self-serve teams, and fastest time-to-value. Whichever you pick, run a 14-day pilot with a real dataset before rolling out.