AI visibility report for Hasura
Vertical: Backend-as-a-Service & Realtime
AI search visibility benchmark across 5 platforms in Backend-as-a-Service & Realtime.
Presence Rate
Top-3 citations across 125 prompt × platform pairs
Sentiment
Peer Ranking
Key Metrics
Platform Breakdown
Google AI Mode
Perplexity
ChatGPT
Gemini Search
GrokOverview
Hasura is a San Francisco–based developer tooling company founded in 2017 by Rajoshi Ghosh and Tanmai Gopal. Its core product, the open-source Hasura GraphQL Engine, auto-generates instant, production-ready GraphQL APIs over new or existing databases. The current flagship platform, Hasura DDN (Data Delivery Network), extends this with a globally distributed, metadata-driven API layer that federates multiple data sources into a unified supergraph, supporting multi-team and multi-repo CI/CD collaboration. A 40+ connector library spans PostgreSQL, MySQL, MongoDB, Snowflake, SQL Server, BigQuery, and many others. Customers include Philips Healthcare, Atlassian, Siemens, Airbus, and General Mills. In 2025–2026, Hasura launched PromptQL, an AI-oriented data access layer for LLM and AI agent applications. The company reached unicorn status ($1B valuation) with its $100M Series C in 2022.
Hasura provides a metadata-driven, open-source GraphQL and API federation platform that auto-generates high-performance APIs over any database or data source. Its Hasura DDN (Data Delivery Network) deploys a globally distributed, zero cold-start API layer that federates multiple data sources into a single supergraph, with built-in RBAC, CI/CD tooling, real-time subscriptions, and 40+ native data connectors. It targets enterprise and startup engineering teams seeking to accelerate API delivery, enforce data governance, and modernize legacy architectures without hand-coding resolvers. In 2026, Hasura is also expanding into AI data access via its PromptQL subsidiary.
Key Facts
- Founded
- 2017
- HQ
- San Francisco, CA, USA / Bangalore, India
- Founders
- Rajoshi Ghosh, Tanmai Gopal
- Employees
- 101-250
- Funding
- $136.5M
- Valuation
- $1B
- Status
- Private
Target users
Key Capabilities10
- Instant auto-generated GraphQL and Relay APIs from existing databases without hand-writing resolvers
- Metadata-driven API platform with declarative domain modelling and built-in governance
- Hasura DDN (Data Delivery Network): global edge-deployed, zero cold-start, autoscaling API layer
- Federated supergraph composition enabling multi-team, multi-repo API collaboration
- Real-time GraphQL subscriptions and live queries over database events
- Fine-grained, field- and entity-level role-based access control (RBAC)
- Native Data Connector (NDC) open specification with 40+ database and API connectors
- Event triggers and webhooks on database changes for event-driven architectures
- Immutable builds, breaking-change detection, and schema registry for CI/CD-native development
- PromptQL: AI/LLM data access layer for grounded, deterministic natural-language queries over business data
Key Use Cases7
- Rapidly building production-ready GraphQL APIs on existing relational or NoSQL databases
- Modernizing legacy API architectures by federating multiple data sources into a unified supergraph
- Real-time application backends requiring live data subscriptions
- Enterprise data mesh and supergraph federation across multiple teams and microservices
- Accelerating digital transformation and API-first initiatives in regulated industries (healthcare, finance)
- AI agent and LLM data grounding via structured, governed data access (PromptQL)
- Rapid prototyping and MVP delivery with instant API scaffolding
Hasura customer outcomes
50% reduction in team size per project; ~1 year vs. 2–4 years to production
Hasura enabled Philips to take a new clinical platform from concept to production in under one year versus an estimated 2–4 years via traditional development, while also reducing team size per project.
3x faster time-to-market
HMH achieved a 3x improvement in time-to-market for new application features after adopting Hasura as its API platform.
30 days from first commit to production launch
Leonardo.Ai used Hasura to go from first code commit to a production-ready API in just 30 days, accelerating their initial launch.
40% reduction in API development effort
ISOS reduced API development effort by 40% by adopting Hasura to modernize its API architecture, abstracting backend complexity and enabling engineers to focus on business logic.
50% reduction in development time
Pulley cut overall development time by 50% after integrating Hasura into their stack, accelerating feature delivery for their equity management platform.
8x faster development velocity
Lumanu reported an 8x improvement in development velocity after adopting Hasura, representing a major acceleration in their engineering throughput.
Recent Trend
How AI describes Hasura3
Nhost * Core Tech : GraphQL-first platform powered by Hasura and PostgreSQL.
Which managed BaaS platforms have strong enough uptime guarantees and track records to build a business-critical production app on?
Nhost : A serverless relational platform utilizing PostgreSQL, Hasura (GraphQL), and built-in authentication.
Which realtime BaaS platforms handle conflict resolution when multiple clients write simultaneously — do any support CRDT-style merging?
| | Nhost | Yes | Nhost integrates Hasura , which has a native "Event Triggers" feature to call webhooks on database changes.
Which BaaS platforms support outbound webhooks so you can trigger external services when a database record changes?
Most cited sources8
- 8
See Hasura scale to 1 million active GraphQL subscriptions/live queries
hasura.io·Blog Post
- 6
Types of Realtime GraphQL Subscriptions
hasura.io·Blog Post
4graphql-engine/architecture/live-queries.md at master · hasura/graphql-engine
github.com·Documentation
- 3
Top 7 Authentication Providers for Building Apps With JWT (2022)
hasura.io·Blog Post
- 3
GraphQL Subscriptions for realtime data | GraphQL Tutorial
hasura.io·Blog Post
- 2
Instant streaming APIs with built-in authorization for new or existing Postgres
hasura.io·Blog Post
Alternatives in Backend-as-a-Service & Realtime6
Hasura occupies a distinct niche as the leading metadata-driven GraphQL and API federation platform, differentiating itself from traditional BaaS providers through its database-agnostic connector model, open-source engine, and enterprise-grade supergraph federation (DDN).
- Rather than bundling storage, auth, and compute like Firebase or Supabase, Hasura focuses exclusively on the data access and API layer, positioning itself as a universal data delivery network capable of sitting in front of any existing database or microservice.
- Its v3 DDN architecture emphasizes federated multi-team API composition—a capability rarely matched in the BaaS segment.
- In 2025–2026, Hasura has additionally pivoted toward AI data access with its PromptQL subsidiary, targeting AI agent and LLM use cases.
Reviews
Praised
- Instant GraphQL API generation with zero boilerplate
- Powerful built-in real-time subscriptions
- Fine-grained role-based access control
- Strong multi-database connector ecosystem
- Rapid time-to-production for new projects
- Active and helpful developer community
- Metadata-driven governance and schema registry
- Open-source core with enterprise hosted option
Criticized
- Steep GraphQL learning curve for REST-experienced teams
- Vendor lock-in risk, especially post-v2 deprecation
- Complex or opaque pricing at scale
- Advanced business logic requires custom Actions/Remote Schemas
- Insecure defaults requiring careful RBAC hardening
- Debugging complex federated queries is difficult
- v2-to-DDN migration burden for existing customers
- Limited customisation for non-standard query patterns
On G2, Hasura holds a 4.7/5 rating from 26 reviews, with 80% five-star and 19% four-star ratings and no reviews below four stars. Developer community sentiment visible on social media and GitHub is strongly positive, with users consistently praising the speed of API setup, built-in N+1 batching, and real-time subscription capabilities. Enterprise practitioners highlight productivity gains and the metadata-driven governance approach as standout differentiators. Criticism tends to focus on the GraphQL learning curve, lock-in concerns as the platform matures, and the complexity of handling advanced custom business logic.
Pricing
Hasura DDN offers three tiers. DDN Free ($0/month) supports one supergraph developer with unlimited models and API requests, a global edge network, and 15-minute observability retention—including SOC2 Type 2 and GDPR compliance. DDN Base starts at $5/active model/month (an 'active model' being any model or command accessed more than 1,000 times/month); it adds unlimited developers, 30-day observability, schema registry, and optional dedicated VPC and HIPAA compliance. DDN Advanced starts at $30/active model/month and adds federated multi-team collaboration, independent subgraph development, and multi-repo CI/CD. Private DDN (dedicated infrastructure) is available with Base and Advanced plans for advanced security and compliance. Optional connector hosting is available at $0.075/vCPU-hour and $0.0075/GiB-hour across all plans. Enterprise support plans with SLAs are available separately.
Limitations
- Hasura is primarily GraphQL-centric, which introduces a learning curve for teams unfamiliar with GraphQL; REST-preferred teams may find the paradigm shift significant.
- Advanced business logic beyond CRUD often requires custom Actions or Remote Schemas, adding complexity.
- Heavy reliance on Hasura's proprietary DDN metadata layer can raise vendor lock-in concerns, especially with the deprecation of v2 (now legacy) in favour of v3/DDN.
- The platform is insecure out of the box and requires careful RBAC configuration to harden.
- Enterprise pricing (DDN Base at $5/active model/month, DDN Advanced at $30/active model/month) can scale unpredictably for large schemas.
- GraphQL Engine v2 has been marked legacy with an explicit EOL timeline, potentially forcing migrations for existing users.
- Debugging complex multi-source queries can be challenging due to the number of components involved.
Frequently asked questions
Topic Coverage
Prompt-Level Results
| Prompt | Perplexity | ChatGPT | Grok | Gemini Search | Google AI Mode |
|---|---|---|---|---|---|
Capability1/5 cited (20%) | |||||
Which BaaS platforms handle GraphQL subscriptions and live queries at scale with thousands of concurrent connected clients? | |||||
Which realtime BaaS platforms handle conflict resolution when multiple clients write simultaneously — do any support CRDT-style merging? | |||||
Which BaaS platforms support background jobs and scheduled tasks natively — async queues and cron jobs without external tooling? | |||||
What BaaS platforms can handle complex transactional workloads, and which ones require dropping to a custom backend for serious transaction logic? | |||||
Which BaaS platforms include file storage and CDN capabilities with image transformation, access control, and resumable uploads built in? | |||||
Developer Experience2/5 cited (40%) | |||||
Which BaaS platforms have a solid database migration workflow for team settings — not just manual schema coordination? | |||||
Which BaaS platforms handle complex business logic beyond CRUD well — with good support for custom functions or server-side code? | |||||
Which BaaS platforms are best suited for frontend developers who need to own the full stack without deep backend knowledge? | |||||
Which BaaS platforms generate and maintain type-safe client SDKs automatically from your schema — typed queries and mutations included? | |||||
Which BaaS platforms offer a complete local development experience — running auth, database, and storage emulators entirely offline? | |||||
Integrations & Ecosystem1/5 cited (20%) | |||||
Which BaaS platforms support outbound webhooks so you can trigger external services when a database record changes? | |||||
Which BaaS platforms expose direct SQL access to the underlying database while still supporting the platform's security and realtime features? | |||||
Which BaaS platforms have the best data export and portability story so you're not locked in if you need to migrate to a custom backend? | |||||
Which BaaS platforms work well alongside any frontend framework and deployment platform without being tightly coupled to specific client libraries? | |||||
Which BaaS platforms integrate well with third-party auth providers — letting you use an existing identity provider alongside built-in auth? | |||||
Performance & Reliability0/5 cited (0%) | |||||
Which BaaS platforms can sustain thousands of concurrent WebSocket connections for realtime features at scale? | |||||
How does read/write latency compare between BaaS-hosted databases and direct managed relational databases — which platforms close the gap best? | |||||
Which managed BaaS platforms have strong enough uptime guarantees and track records to build a business-critical production app on? | |||||
Which BaaS platforms handle database connection pooling under heavy load well — avoiding connection exhaustion in production? | |||||
Which BaaS platforms support multi-region deployments so the backend runs close to users for lower latency? | |||||
Setup & First Run1/5 cited (20%) | |||||
For a startup building a real-time collaborative app, which BaaS platforms get you a working prototype fastest — covering auth, data, and live sync? | |||||
Which BaaS platforms let a solo developer spin up a working backend with auth, database, and file storage for a mobile app in a day or less? | |||||
Which BaaS platforms offer the best row-level security implementation — can users only access their own data with declarative rules rather than custom code? | |||||
What's the recommended approach for migrating from a NoSQL BaaS to a relational backend-as-a-service platform — what tools or platforms help with this? | |||||
Which BaaS platforms support self-hosting on your own infrastructure, and how does the ops burden compare to their managed cloud version? | |||||
Strengths2
Which BaaS platforms handle GraphQL subscriptions and live queries at scale with thousands of concurrent connected clients?
Avg # 1.7 · 3 platforms
Which BaaS platforms are best suited for frontend developers who need to own the full stack without deep backend knowledge?
Avg # 4.0 · 1 platform
Gaps5
Which BaaS platforms support outbound webhooks so you can trigger external services when a database record changes?
Competitors on 4 platforms
Which BaaS platforms expose direct SQL access to the underlying database while still supporting the platform's security and realtime features?
Competitors on 4 platforms
Which BaaS platforms include file storage and CDN capabilities with image transformation, access control, and resumable uploads built in?
Competitors on 4 platforms
Which BaaS platforms have a solid database migration workflow for team settings — not just manual schema coordination?
Competitors on 3 platforms
Which BaaS platforms handle complex business logic beyond CRUD well — with good support for custom functions or server-side code?
Competitors on 3 platforms
Vertical Ranking
| # | Brand | PresencePres. | Share of VoiceSoV | DocsDocs | BlogBlog | MentionsMent. | Avg PosPos | Sentiment |
|---|---|---|---|---|---|---|---|---|
| 1 | Supabase | 36.0% | 44.0% | 24.8% | 8.0% | 36.0% | #7.8 | +0.40 |
| 2 | Appwrite | 20.8% | 19.9% | 7.2% | 16.8% | 20.8% | #9.6 | +0.34 |
| 3 | Firebase (Google) | 16.8% | 13.0% | 12.0% | 0.0% | 16.8% | #9.6 | +0.31 |
| 4 | Back4App | 15.2% | 9.4% | 0.0% | 11.2% | 14.4% | #4.7 | +0.33 |
| 5 | PocketBase | 6.4% | 4.7% | 4.0% | 0.0% | 6.4% | #14.4 | +0.47 |
| 6 | Hasura | 5.6% | 5.4% | 0.0% | 4.0% | 5.6% | #12.2 | +0.52 |
| 7 | Convex | 4.0% | 2.5% | 0.8% | 0.0% | 4.0% | #10.1 | +0.10 |
| 8 | Nhost | 2.4% | 1.1% | 0.0% | 2.4% | 2.4% | #8.0 | +0.50 |
| 9 | 8base | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
| 10 | Amplication | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
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