Orbital
by Orbital · Data gateway that builds API, database and stream integrations on demand
BenchRank score
Screenshots of Orbital
Homepage
Overview
Orbital is a data gateway that connects APIs, databases and event streams. You embed semantic type tags in OpenAPI, Protobuf or database schemas and query with Taxi; Orbital works out where each field comes from and builds the integration on demand. Queries can be published as REST endpoints or event streams and deployed by git push.
- Best for
- Engineering teams wiring together microservices, databases and event streams without writing glue code
- Pricing
- Free tier, then Starter at $1,500/month and Business at $70,000/year, with Enterprise on request; extra calls cost $1,000 per 1M on Starter and $405 per 1M on Business.
- Runs on
- Self-hosted
Strengths and trade-offs
Strengths
- Builds integrations from schema tags, no glue code or resolvers
- Connects HTTP, gRPC, databases, Kafka/RabbitMQ, Lambda and GraphQL
- Automatic API and data catalogue with call traces and lineage
- Free tier, plus a install script and docker-compose to run it
Trade-offs
- Big jump from the free plan to Starter at $1,500/month
- SSO/SAML, 3 environments and HA only from Business at $70,000/year
- Free plan has no authentication and keeps lineage for 1 hour
- Requires learning Taxi and tagging your specs with semantic types
How Orbital markets itself
A structured read of the promise, proof and page design on Orbital’s captured homepage.
Homepage capture
“Effortless Data product without glue code”
- Angle: Simplicity / ease
- Hero: Terminal / CLI
Pricing
Published plans and prices from Orbital’s own pricing page.
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
MCP support
Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.
API quality
Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.
Documentation
Publicly reachable docs — coverage, freshness, code samples and machine readability.
Agent friendliness
How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.
Pricing transparency
Whether real prices are published, self-serve signup exists, and usage costs are knowable without a sales call.
Changelog
A public, dated record of what shipped and when — the clearest signal that a product is still alive.
Marketing site structure
Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.
Page speed
How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.
Operational trust
Status page and incident history, security disclosure, compliance and data-processing documentation.
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
Openness
Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.
Maintenance
Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.
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Where this comes from
The Orbital pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.
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