Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
DataJoint is the Scientific Data Foundation for accelerated life sciences R&D. It codifies experiments as computational pipelines: data models, dependencies, analysis, and results defined together in one governed system. The pipeline is the lineage. Every result carries a complete record of how it was produced.
DataJoint is deterministic by design. Same inputs and code, same result, every time. That is what makes results defensible in regulated environments, and it is the precondition for AI to deliver in R&D. Science built on DataJoint compounds instead of disappearing: pipelines, models, and results stay reusable across teams, programs, and years.
Show the rest of the publisher’s description (3 more lines)
The platform deploys in your own environment: your VPC, your cloud, hybrid, or on premises for restricted programs. Your data and infrastructure stay where your science runs. Every engagement includes hands-on support from DataJoint's SciOps team through Design, Build, and Launch phases, scoped to your program during discovery. Pricing is scoped to your program through a private offer.
Proven across a decade of the most demanding research computing, DataJoint now powers scientific data operations for pharma and life sciences organizations running high-volume experimental, analytical, and machine learning workloads.
Pricing is scoped to your program through a private offer.
Highlights
Highlighted by the publisher on AWS Marketplace.
Codify experiments as computational pipelines: schema-based data models, dependency tracking, automated computation, and complete provenance in one governed system.
Deterministic by design: same inputs and code, same result, every time. Reproducible by construction. Reusable by default.
Deploys in your environment, with hands-on Scientific Operations Consulting support that moves teams from ad hoc scripts to governed, scalable scientific data operations.
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment
Plans and pricing as listed
1 listed- Units
Refund terms
As stated by the publisher on AWS Marketplace.
All fees are non-cancellable and non-refundable except as required by law.
Sources
Publisher resources
2 linksLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.