Seqera
Scientific data management systems (SDMS)
Pharma and biotech software
Laboratory software
Life sciences software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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What is Seqera
Seqera is a platform for developing, running, and monitoring bioinformatics and scientific workflows, centered on the Nextflow workflow language. It is used by bioinformatics, data engineering, and platform teams to orchestrate pipelines across HPC and cloud environments with controls for execution, observability, and collaboration. The product focuses on workflow operations (pipeline execution, monitoring, and reproducibility) rather than acting as an ELN/LIMS for wet-lab sample tracking.
Workflow orchestration and monitoring
Seqera provides centralized execution management for Nextflow pipelines, including run monitoring, logs, and operational visibility. This supports teams that need to standardize how pipelines are launched and supervised across projects. It is well-aligned to computational biology use cases where pipeline reliability and traceability matter. Compared with lab-centric systems, it emphasizes compute workflow operations over experimental recordkeeping.
Hybrid cloud and HPC support
The platform is designed to run workflows across common compute backends, including on-prem HPC schedulers and major cloud services. This helps organizations keep the same pipeline logic while changing execution environments. It is useful for groups that must balance regulated on-prem compute with elastic cloud capacity. The approach fits teams that manage multiple environments rather than a single lab system.
Reproducible pipeline practices
Seqera builds on Nextflow’s reproducibility patterns, such as versioned pipelines and container-based execution. This supports consistent reruns and reduces environment drift across users and sites. It is particularly relevant for bioinformatics pipelines that need to be shared across teams. The focus is on computational reproducibility rather than sample-level chain-of-custody.
Nextflow-centric ecosystem dependency
The platform is tightly coupled to Nextflow as the workflow definition and execution model. Teams using other workflow engines may face migration effort or parallel tooling. This can limit adoption in heterogeneous environments where multiple orchestration standards exist. The benefit is depth for Nextflow users, but it reduces flexibility for non-Nextflow stacks.
Not a full SDMS or LIMS
Seqera does not primarily function as a laboratory information management system or electronic lab notebook. Organizations needing sample registration, inventory, instrument integration, and wet-lab workflows typically require additional systems. Data governance features are oriented around pipeline execution artifacts rather than comprehensive scientific data lifecycle management. This can create integration work for end-to-end lab-to-analysis traceability.
Requires platform engineering skills
Deploying and operating workflow infrastructure typically requires DevOps and cloud/HPC administration expertise. Users may need to manage compute backends, identity/access patterns, and storage conventions outside the product. Smaller labs without dedicated engineering support may find setup and ongoing operations challenging. This differs from lab-focused tools that prioritize out-of-the-box wet-lab workflows.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Cloud Basic | Free (Sign up for free) | Hosted Cloud; Launchpad, Monitoring; History: 250 runs; Concurrency: 3 runs; Logging, Compute optimization, Integration with Seqera AI; Seqera Compute: 5 environments per workspace; Data: 100 datasets (10MB filesize limit), 100 dataset versions; Studios: 1 concurrent session; Seqera AI: 100 chat sessions/month; Users: up to 3; Teams: 20; Workspaces: 50; Support: Community Forums. |
| Cloud Pro | Custom quote (contact sales) | Hosted Cloud; Unlimited history & concurrency; Advanced Compute: 20 environments per workspace; Customized data limits and versioning; Studios: unlimited concurrent sessions; Seqera AI: unlimited chat sessions; Admin: customized users/teams/workspaces; Professional support with option for priority SLA. |
| Enterprise | Custom pricing (schedule consultation) | Self-hosted Cloud or On-Premise; Fully customized limits & features; Enterprise-grade security (SSO, enterprise auth); Professional & priority SLA support; Designed for large-scale deployment and compliance. |
Usage-based pricing (Seqera Compute — official docs):
Pricing model: Pay-as-you-go (credits / per-resource rates) Credit definition: 1 Seqera Compute credit = $1 USD. Resource rates (published on seqera.io / docs.seqera.io):
- CPU: $0.10 per CPU-hour (listed as 0.1 credits per CPU-hour).
- Memory: $0.025 per GiB-hour (listed as 0.025 credits per GB-hour).
- Storage: $0.025 per GB-month.
- Network: Passthrough (provider egress cost only; no additional markup).
Notes: Compute is billed per task completion (real-time credit deduction). Cloud Basic is a free tier for the platform UI/features but compute consumption is billed using the rates above; Cloud Pro/Enterprise pricing for platform subscriptions is by custom quote.
Seller details
Seqera Labs, S.L.
Barcelona, Spain
2019
Private
https://seqera.io/
https://x.com/seqeraio
https://www.linkedin.com/company/seqera/
