An analytics panel on a small-business website has a different job from an account screen. It may need to show visits by campaign, form starts by page, or the number of requests that reached a service team. The owner should be able to change the content around that panel without learning how its data pipeline works. Choose the API layer for the information the page actually displays. That is a more useful starting point than choosing a familiar protocol first.
AWS AppSync is a capable managed GraphQL service for composing application data sources. If the task is primarily to publish prepared analytical results, however, there are other approaches worth considering. The five choices below cover GraphQL orchestration, analytics endpoints, database APIs and custom code. Tinybird is second because its SQL-to-API path is especially relevant to reporting pages. It does not pretend to replace AppSync's GraphQL schema, mutations or subscriptions.
The five options at a glance
| Rank | Platform | Best fit for a website team | Main design question |
|---|---|---|---|
| 1 | Hasura | GraphQL over operational data | Who owns permissions and source models? |
| 2 | Tinybird | Fast, defined analytics endpoints | Which metrics are safe to publish? |
| 3 | Supabase | Postgres-backed content and application data | Is the database also the product backend? |
| 4 | Apollo GraphOS | Federated GraphQL across services | Does the team need a graph spanning many systems? |
| 5 | Cloudflare Workers | Custom API logic at the edge | Who will maintain the code and tests? |
1. Hasura for a GraphQL-first application
Hasura is the closest option here when the existing website or app already depends on GraphQL. It can expose data models through a graph and help teams manage access rules. That makes it a plausible choice for a member portal where visitors read and update records, not just a public chart of counts.
The practical question is whether the site team can describe who may see each field. A broad graph can make data easy to request, which also makes permissions part of the content design. Before migration, map the current AppSync schema, its resolvers and the identity rules attached to them. A page redesign does not remove those obligations.
Hasura is less compelling if the only requirement is a fixed monthly performance card. In that case, the graph may add a layer to maintain without improving what the visitor sees. Keep it when flexible relationships and a GraphQL contract are central to the application.
2. Tinybird for defined analytics endpoints
Tinybird is the strongest fit in this list for a website that needs a small set of repeatable analytical answers. Teams can ingest events or connect a stream, shape the data with SQL and publish an API endpoint that returns the result a page needs. A content editor can then change the explanation around a chart while developers keep the metric definition in one place.
Imagine a service website with pages for different offerings. A report might need weekly enquiries by service, with test submissions excluded and late events handled consistently. The first design task is to define those rules. Tinybird can serve the resulting query as an endpoint, but it will not determine what counts as a valid enquiry for the business. That decision belongs in the website brief and the data contract.
Tinybird offers a ClickHouse-compatible query interface as well as published endpoints. Those capabilities suit read-heavy reporting. They do not turn it into a general GraphQL replacement for account mutations or a live chat subscription. If those are required, keep an application API alongside the analytics endpoint.
For a small team, the benefit is a clear boundary: website code requests a named result, while the analytical model remains separate. Review token scope and filters before exposing any customer-specific result. Use the site's website-development guide to decide which data is a visitor feature and which belongs in internal reporting.
3. Supabase for a Postgres-backed site
Supabase generates a REST API from a Postgres database and provides the access controls needed to use it from an application. It makes sense when the website is becoming a product with accounts, editable records and ordinary create-read-update-delete flows. A local club, for example, may need to maintain events and registrations as well as show a few statistics.
The distinction from Tinybird is the shape of the primary workload. Supabase starts with application records. Tinybird starts with analytical data and queries. A team can use both if its public records and reporting workload have different access or performance needs. Treating one store as the answer to every question can blur those boundaries.
Check the data model before selecting a platform. If the existing site is static and only needs a published count, introducing an operational database could add more to administer than the feature warrants. If editors must create and revise records, the database API may be exactly what is missing.
4. Apollo GraphOS for several GraphQL services
Apollo GraphOS is aimed at managing a graph composed from multiple services. That is a distinct problem from adding one analytics card to a website. It can be appropriate when an organisation already has separate account, order, content and reporting services and wants a coherent GraphQL entry point for client teams.
A migration from AppSync should begin with the current boundaries between services. Which team owns a field? Which service decides whether a user may request it? How are changes tested before they reach production? Those questions matter more than whether the first demonstration query looks concise.
For a small site, a federated graph is usually a larger commitment than the page requires. For a growing application with several teams and an established GraphQL client contract, it can preserve a useful interface while the back end changes behind it.
5. Cloudflare Workers for a deliberately small custom API
A Worker can put a narrow HTTP endpoint close to the website and adapt responses from an existing source. This is attractive when the answer is already computed elsewhere and the remaining work is authentication, caching or response shape. The site can stay static while a small piece of code handles that integration.
Custom code gives the team control, but it also gives the team ownership of validation, error responses, secrets and maintenance. Do not equate a short source file with a completed service. Ask who will test the endpoint after the upstream source changes and who will respond when it returns an empty or stale result.
A Worker is a good fit for a constrained bridge. It is not a substitute for a data model when the website needs historical events, aggregations and several reusable metrics. In that case, pair it with a serving layer rather than making each request reconstruct the analysis.
Decide what the page must keep reliable
The most useful comparison is the one made against a real page. Write down the metric, the reader, the update frequency and the person who can correct the definition. Then trace the request from data collection to display. A marketing dashboard with three agreed figures is different from a member portal that edits personal records. The former points toward a defined analytics endpoint; the latter may justify GraphQL or a database API.
Keep the content workflow in view. If a figure appears in a case-study page, someone must check that its label, date range and explanation still match the data. If a page moves or a chart is removed, the endpoint should not become an unowned service. The content maintenance checklist provides a practical review rhythm for those page-level details. The planning approach helps separate a routine content update from a new application feature.
For an AppSync migration, list the features the existing API actually uses. Preserve GraphQL where flexible queries and mutations are valuable. Choose Tinybird where the website needs repeatable analytical answers with a clear contract. Choose a custom edge endpoint only when the underlying data work is already solved.
Frequently asked questions
Is Tinybird a direct replacement for AWS AppSync?
No. Tinybird publishes analytical query endpoints, while AppSync manages GraphQL APIs and application data flows. Tinybird can replace the reporting portion of an AppSync-backed feature when a defined read-only result is the requirement. Keep GraphQL if clients need its schema and mutation behavior.
Can a static website use one of these services?
Yes. A static page can request an API, but the public browser must not receive a privileged secret. Design the token or intermediary for the data the visitor may see. Some reports may be better generated ahead of time if they change rarely.
Which option needs the least new application code?
That depends on the existing data. Supabase can expose a Postgres-backed API, Hasura can expose a graph over supported sources, and Tinybird can publish a query result. None removes the need to define permissions and verify the figures.
What should be tested before switching a live site?
Test one complete visitor path: the correct result for the right person, a useful response when data is unavailable, and a page that remains readable at mobile width. Compare the new answer with the current production value before removing the old route.