Apollo GraphQL

Apollo GraphQL is an API orchestration platform that connects AI agents, web, and mobile applications to both GraphQL and REST APIs through a unified supergraph architecture.

Reviewed by 7wData
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Apollo GraphQL is an API orchestration platform that connects AI agents, web, and mobile applications to both GraphQL and REST APIs through a unified supergraph architecture. It is designed for backend teams who need to build a self-service, self-documenting graph that can power any number of applications, and for frontend teams who want to fetch all required data from a single endpoint. Enterprise leaders such as Netflix, PayPal, The New York Times, Expedia Group, Volkswagen, Priceline, Peloton, Wayfair, Booking.com, Hyatt, Ford Credit, MLB, Coinbase, and Indeed trust Apollo to unify their APIs into a single, discoverable, and reusable platform. The platform is particularly suited for organizations that need to decouple backend and frontend development, reduce technical debt from backends-for-frontends, and enable rapid AI iteration with secure data access.

Apollo GraphOS, the company's complete API management platform, includes built-in support for GraphQL Federation, Connectors, Response Caching, and Federated Subscriptions. Apollo Connectors allow developers to bring all APIs together in minutes on a declarative query-based GraphQL platform, powering any app with real-time data. The platform provides a central registry and standardized workflows for backend teams, enabling them to define core entities and business logic once and ship across any interface. Apollo reduces latency by enabling frontend teams to fetch all needed data in a single request, and GraphOS Router can be self-hosted. The platform also includes Schema Proposals for collaboration and approval workflows, single sign-on (SSO), audit logging, and custom MSA. Data retention for checks and insights ranges from 1 day on the Free plan to 18 months on the Enterprise plan, with field-level latency data retained for 7 days across all paid tiers.

Apollo competes directly with Hasura, StepZen, Stellate, Adeptia, and Back4App. Compared to Hasura, which uses a domain-first approach that auto-generates GraphQL APIs from databases, Apollo requires a schema-first approach that may demand more initial setup and manual schema design. However, Apollo's federation model is more mature for large-scale, multi-team environments where different teams own different subgraphs. StepZen offers a similar declarative approach but with a focus on REST-to-GraphQL conversion, while Stellate specializes in GraphQL caching and CDN delivery. Apollo's enterprise adoption—with customers like Netflix, Warner Brothers, and Booking.com—demonstrates its proven infrastructure at scale, but its pricing model (starting at $5 per million requests) can become costly for high-volume APIs compared to open-source alternatives like Hasura Community Edition.

Key trade-offs include the schema-first learning curve, which can slow initial development compared to auto-generating tools like Hasura. The Free plan limits the self-hosted GraphOS Router to 60 requests per minute, which is insufficient for any production workload. Developer plan pricing starts at $5 per million requests, which can accumulate quickly for high-traffic APIs, and the Free plan retains data for only 1 day, limiting debugging capabilities. Additionally, while Apollo's GraphOS Router is self-hosted, the platform itself is a managed cloud service, meaning teams must rely on Apollo's uptime for schema registry and insights features. Despite these trade-offs, Apollo remains the dominant choice for organizations that need a battle-tested federation platform with enterprise-grade support and collaboration tools.

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How it works

  1. Supergraph architecture

    Unifies multiple GraphQL and REST APIs into a single, self-documenting graph accessible from one endpoint.

  2. Apollo Connectors

    Declaratively integrate any API into the graph in minutes, enabling rapid app and AI iteration.

  3. GraphQL Federation

    Splits a graph into subgraphs owned by different teams, enabling scalable, decentralized API development.

  4. Response caching

    Caches query results at the router level to reduce latency and backend load for repeated requests.

  5. Federated subscriptions

    Supports real-time data push across subgraphs, keeping clients updated without polling.

  6. Schema Proposals

    Provides collaboration and approval workflows for schema changes, ensuring governance across teams.

  7. Self-hosted GraphOS Router

    Allows teams to run the graph router on their own infrastructure for control and compliance.

Strengths and trade-offs

Strengths

  • Comprehensive documentation and interactive tutorials, such as the Apollo Connectors tutorial, help teams get started quickly.
  • Proven infrastructure trusted by enterprise leaders including Netflix, PayPal, The New York Times, and Booking.com.
  • Supports rapid app development with Apollo Connectors, which bring all APIs together in minutes on a declarative query-based platform.
  • Enhances performance and reduces latency by enabling frontend teams to fetch all data from a single endpoint, reducing unnecessary network calls.

Trade-offs

  • Schema-first approach may require more initial setup compared to domain-first approaches like Hasura, which auto-generates GraphQL APIs from databases.
  • Pricing for the Developer plan starts at $5 per million requests, which can become expensive for high-volume APIs compared to open-source alternatives.
  • The Free plan limits the self-hosted GraphOS Router to 60 requests per minute, making it unsuitable for production workloads.
  • Data retention for checks and insights on the Free plan is only 1 day, limiting long-term debugging and performance analysis.

Pricing context

Free plan for students or hobbyists (up to 3 developers, 60 requests/min, 1-day data retention); Developer plan starting at $5 per million requests (up to 10 developers, 7-day data retention); Standard plan with custom pricing (up to 30 developers, 90-day data retention); Enterprise plan with custom pricing (unlimited developers, 18-month data retention, 24/7/365 support).

Getting started with Apollo GraphQL

  1. Sign up for Apollo GraphOS

    Go to the Apollo GraphQL website and create a free account. Choose the Free plan for evaluation, which supports up to 3 developers and 60 requests per minute. Complete the registration to access the GraphOS platform.

  2. Connect your APIs

    Use Apollo Connectors to integrate your existing REST and GraphQL APIs. In the GraphOS dashboard, define each API as a subgraph by providing its endpoint URL and schema. This step unifies your data sources into a single supergraph.

  3. Define the supergraph schema

    Design a schema-first approach by writing GraphQL schema files that describe your entities and relationships. Use Federation directives to compose subgraphs into a unified supergraph. Publish the schema to the GraphOS registry for version control.

  4. Run a test query

    Open the Apollo Studio Explorer and write a GraphQL query that fetches data from multiple subgraphs in a single request. Execute the query to verify that the supergraph resolves correctly and returns the expected results.

  5. Deploy the GraphOS Router

    Self-host the GraphOS Router by downloading the binary and configuring it with your supergraph schema URL. Set environment variables for authentication and rate limits. Start the router to serve your production applications.

Frequently Asked Questions

What is Apollo GraphQL used for?

Apollo GraphQL is an API orchestration platform that connects AI agents, web, and mobile apps to GraphQL and REST APIs through a unified supergraph. It helps backend and frontend teams fetch all needed data from a single endpoint.

How does Apollo GraphQL pricing work?

Apollo offers a Free plan for up to 3 developers with 60 requests per minute and 1-day data retention. The Developer plan starts at $5 per million requests. Standard and Enterprise plans have custom pricing with higher limits and longer data retention.

What is GraphQL Federation in Apollo?

GraphQL Federation in Apollo splits a graph into subgraphs owned by different teams, enabling scalable, decentralized API development. Each team manages their own subgraph, and the supergraph combines them into one endpoint for frontend applications.

How does Apollo GraphQL compare to Hasura?

Apollo uses a schema-first approach requiring manual design, while Hasura auto-generates GraphQL APIs from databases. Apollo's federation model is more mature for large multi-team environments, but Hasura's Community Edition is open source and free.

What are Apollo Connectors?

Apollo Connectors allow developers to declaratively integrate any API into the graph in minutes. They bring all APIs together on a query-based GraphQL platform, powering any app with real-time data and enabling rapid iteration for AI and applications.

What are the weaknesses of Apollo GraphQL?

Apollo's schema-first approach requires more initial setup than auto-generating tools. The Developer plan costs $5 per million requests, which can be expensive for high-volume APIs. The Free plan limits the router to 60 requests per minute and retains data for only 1 day.

Alternatives

How Apollo GraphQL compares

Direct head-to-head against 3 competitors. Picked by 7wData.

This tool

Apollo GraphQL

Pricing
Free plan for students or hobbyists (up to 3 developers, 60 requests/min, 1-day data retention); Developer plan starting at $5 per million requests (up to 10 developers, 7-day data retention); Standard plan with custom pricing (up to 30 developers, 90-day data retention); Enterprise plan with custom pricing (unlimited developers, 18-month data retention, 24/7/365 support).
Target
Apollo GraphQL is an API orchestration platform that connects AI agents, web, and mobile applications to both GraphQL and REST APIs through a unified supergraph
Strength
Comprehensive documentation and interactive tutorials, such as the Apollo Connectors tutorial, help teams get started quickly.
Watch for
Schema-first approach may require more initial setup compared to domain-first approaches like Hasura, which auto-generates GraphQL APIs from databases.

Kong

Pricing
Free tier; Konnect starts at $0.08/hr; Enterprise custom.
Target
API gateway and service mesh for cloud-native architectures.
Deployment
Cloud, on-prem, hybrid.
Strength
Plugin ecosystem for authentication, traffic control, and observability.
Watch for
Complex configuration for GraphQL-specific use cases.

Postman

Pricing
Free tier; Team $14/user/month; Enterprise custom.
Target
API development, testing, and collaboration platform.
Deployment
Cloud, desktop, web.
Strength
Intuitive GUI for designing and testing GraphQL queries.
Watch for
Limited runtime and governance for production GraphQL APIs.

Hasura

Pricing
Free tier; Cloud $0.50/project/hr; Enterprise custom.
Target
Instant GraphQL APIs on new or existing databases.
Deployment
Cloud, self-hosted.
Strength
Auto-generated GraphQL from database schemas with real-time subscriptions.
Watch for
Pricing can escalate with high request volumes and enterprise features.

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Sources

Reporting on this tool draws on these publicly available sources.

  1. www.apollographql.com
  2. www.apollographql.com
  3. www.apollographql.com
  4. www.apollographql.com
  5. www.reddit.com
  6. hasura.io