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Quilt vs Benchling

Does Quilt replace Benchling?

TL;DR

No. Quilt sits next to Benchling and your S3 buckets. Benchling is your ELN/LIMS for experimental workflows; Quilt governs the large instrument and pipeline files Benchling references — versioned, searchable, and audited in your own AWS account. Most teams run both.

Side by side

Capability comparison between Quilt and Benchling
Capability Quilt Benchling
Primary role Scientific data layer — versioned file data and lineage on your S3 ELN/LIMS — experiment records, sample tracking, lab workflows
Where data lives Your AWS account — S3, RDS, ECS inside your VPC Benchling's cloud
Large instrument files (FACS, NGS, imaging) Core use case — versioned packages on the buckets you own References files; raw data typically lives in S3, outside Benchling
Dataset versioning & lineage Built in — full version history, instrument-to-analysis lineage Versioned experiment records; not designed for large file versioning
Search across S3 AI-powered search and deep indexing across every bucket Search within Benchling entities and notebooks
Query by Benchling entity ID Yes — returns every associated raw data file from S3 Native entity browsing inside Benchling
Permissions Maps Benchling project membership to package-level access Project-based permissions
AI / agent access MCP server — agents query Benchling metadata and S3 data in one call API access

When to use which

Use Benchling for

Recording experiments, tracking samples and entities, and running lab workflows. Benchling is the system of record for what happened at the bench.

Add Quilt when

The raw data is always in a different bucket than the experiment record. Scientists ask on Slack for files, you need version history and audit trails for the data Benchling references, or AI workflows need governed access to both.

Better together: the Quilt–Benchling integration

Scientists record experiments in Benchling. Raw data — FACS, sequencing, imaging — lives in S3. Quilt connects them with bi-directional sync: entities, results, and notebook data flow into governed, versioned packages, and curated datasets flow back to Benchling workflows.

Downstream, governed data moves directly to Snowflake, Databricks, or custom pipelines — no manual exports, no CSVs.

  • Query by Benchling study, sample, or experiment ID — get every associated raw file from S3
  • Benchling project permissions govern package access — no separate ACLs
  • Deployed in your VPC alongside Benchling — no data leaves your perimeter
  • Typically configured within a week, during onboarding
See it in action

Find ELN-linked data in seconds

Curator searches your governed S3 catalog in plain English — connecting wet-lab records to datasets ELNs cannot store at scale.

01 Curator — natural-language search

Ask for data in plain English

Describe what you need and Curator returns the right packages from your governed catalog — respecting each user's permissions, with no ontology or query language to learn.

  • Semantic search across packages, metadata, and file contents
  • Results return as versioned packages with lineage — no drift
  • Permission-scoped: people and agents see only what they may
See Quilt on Platform
Measured impact

Outcomes teams see with Quilt

90%
faster data lookup
Resilience
3×
NGS analysis throughput
Tessera
Weeks → minutes
from instrument to AI-ready package
30+
biotech & pharma teams
incl. Allen Institute, Inari

Trusted by leading life-sciences organizations

Data lookups that used to take our scientists days now take minutes — with a single, governed source of truth the whole team can trust.
90% faster data lookup Data Platform team, Resilience

Frequently asked questions

Does Quilt replace Benchling?

No. Quilt sits alongside Benchling. Benchling is your ELN/LIMS for experimental workflows. Quilt governs the raw data files Benchling references — versioned and searchable in your AWS.

How does the sync work?

Quilt syncs Benchling entities and results into governed packages on a configurable schedule or on-demand via API. Benchling project structure maps to Quilt package hierarchy.

Can I query Quilt with Benchling entity IDs?

Yes. Any Benchling entity ID — study, sample, experiment — returns every associated raw data file from S3. Quilt indexes the relationships.

Does it work with Benchling's permissions?

Yes. Quilt maps Benchling project membership to package-level access controls. Permission changes in Benchling propagate automatically.

How long does setup take?

The Quilt–Benchling integration is typically configured within a week: CloudFormation deployment plus Benchling sync configuration during onboarding.

See the Benchling integration live

Bring a study ID — a Quilt engineer will show you every associated file in 30 minutes.

Book a 30-min intro call Install Quilt