No. 32 of 36 ·Data Version Control Tools

Carbon Data Layer

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Freedom report

No signalScore 5.1

Free tierNo free tier on record
Open codeNo open-source code on record
Runs widely0 of 6 device platforms
DocumentedThinly documented

Carbon Data Layer is ranked #32 of 36 in data version control tools on Freedom251.

Carbon Data Layer plans and pricing

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Carbon Not published Pricing by inquiry; book a demo to discuss your lab, instruments, workflows, and compliance needs carbonplatform.ai · 4 Oct 2026

Compared on data version control tools

Data scope: files_and_tables
Snapshot granularity: file_and_table
Storage backend: both
Deployment model: both

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The record

Purpose: Carbon’s Data Layer captures research instrument readouts as versioned datasets for querying, sharing, and analysis.
Lineage: Each dataset records the instrument, run, and configuration that produced it.
Database: Each team gets a managed Postgres database with a visual data model and support for images, files, and waveforms as first-class types.
Pipeline: Instrument output becomes queryable by Carbon’s analysis and applications systems.
Governance: The platform lets teams grant access to shared data, and records reads and writes against a name.
Access controls: Carbon describes role-based and resource-level permissions that scope access to instruments and datasets, with an audit trail for commands, edits, and access decisions.
Security: Carbon says deployments can run on-premise inside the customer’s boundary with segmented networks and limited egress.
Integrations: The hardware control system supports SCPI over VISA, Modbus TCP/RTU, NI-DAQmx, and HTTP.
Instrument profiles: Teams can use shared, versioned YAML profiles for instruments and extend them for their hardware.
Analysis: Carbon provides a Python-first workspace on instrument datasets, with pandas, NumPy, collaborative editing, and managed compute.
AI agent: Carbon’s AI agent plans instrument calls from natural-language instructions, shows planned steps, and acts through permissions scoped to the user’s role.
Who it is for: Carbon presents the platform for biotech and life sciences, electronics and hardware R&D, academic and research labs, and material science and energy teams.
Support and deployment: Carbon says engagements start with forward-deployed engineers who map instruments and workflows and help stand up the stack; its pricing page offers a 30-minute demo and says it will follow up within one business day.
Pricing availability: The pricing page asks prospective customers to book a demo or contact sales and does not display a price.

Where it ranks on Freedom251

Best Data Version Control Tools in 2026#32 of 36

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Sources

carbonplatform.ai/systems/data-layer· checked 4 Oct 2026
carbonplatform.ai/systems/team-access· checked 4 Oct 2026
carbonplatform.ai· checked 4 Oct 2026
carbonplatform.ai/systems/hardware-control· checked 4 Oct 2026
carbonplatform.ai/systems/data-analysis· checked 4 Oct 2026
carbonplatform.ai/systems/ai-assistant· checked 4 Oct 2026
carbonplatform.ai/pricing· checked 4 Oct 2026