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Bijection vs Palantir Foundry
Palantir Foundry is the most complete platform in this category. It connects an organization’s data into an ontology of objects and links, and gives analysts, operators and developers a large set of tools on top: visual pipelines, application builders, analysis tools and AI features under the AIP name. It runs in Palantir’s cloud, in a customer’s cloud account, and on premises, including classified networks.
Bijection starts from the same idea, a model of the business that people and agents work on, and takes a narrower path. Everything is defined in TypeScript in your repository, so developers and coding agents write it like any other code. The ontology lives in a transactional database that also sends changes back to your systems, with approvals and a record of every change. Bijection is much younger and smaller than Foundry.
- What it is
- BijectionA transactional database and runtime for your ontology, operations and applications.
- Palantir FoundryA data platform with an ontology and a large suite of applications for pipelines, analysis, operations and AI.
- How you build
- BijectionTypeScript definitions in your Git repository, written by developers or coding agents. There are no visual builders yet.
- Palantir FoundryPoint-and-click tools such as Pipeline Builder, Ontology Manager and Workshop, and code in Python, Java, SQL or TypeScript.
- Where it runs
- BijectionA dedicated single-tenant environment per customer, operated by us. Not in your cloud account or on premises today.
- Palantir FoundryPalantir-managed cloud, or customer-hosted through Apollo, including on premises and classified networks.
- Changes to other systems
- BijectionDeclared operations. The intent is recorded before the call goes out, and an unanswered call stays unknown until it is reconciled.
- Palantir FoundryActions call external systems through webhooks, either as a writeback that must succeed first or as a side effect afterwards.
- Trying changes safely
- BijectionBranches of the database and a preview of every operation before it runs.
- Palantir FoundryGlobal Branching across pipelines, the ontology and Workshop apps, merged back in one step.
- AI
- BijectionModel calls are bounded steps with typed output. Agents reach data through scoped MCP endpoints and go through the same approvals as people.
- Palantir FoundryAIP adds LLM-backed logic, agents, evaluations and document extraction across the platform.
- Maturity
- BijectionEarly. A small team and a focused core, with gaps in analysis and visual tooling.
- Palantir FoundryMature and broad, used across government and industry, often delivered with Palantir’s own engineers.
Choose Palantir Foundry if
- You need to run on premises or on a classified network.
- Analysts and operators should build pipelines, applications and analyses without writing code.
- You want one vendor for data, analysis, applications and AI, with a long track record at scale.
Choose Bijection if
- You would rather define the business in code, reviewed and versioned like the rest of your software, and let coding agents write most of it.
- Your processes change records in other systems, and every change has to be approved, recorded and reconciled.
- You want a dedicated environment and a small team that builds your first process with you.
Sources
What this page says about Palantir Foundry comes from these public pages, last read on 28 September 2026. Products change; if something here is out of date, tell us and we will correct it.