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Machine Learning · head to head

Databricks vs Seven Bridges

Databricks logo

Databricks

Machine Learning

Unified analytics platform for data engineering and data science

From
Free
Rated
-
Full reviewWebsite
Seven Bridges logo

Seven Bridges

Research

Cloud bioinformatics platform and trusted research environment, sold by Velsera

From
On request
Rated
-
Full reviewWebsite

The short version

  • Only Databricks has a free tier, so it costs nothing to try first.
  • Each has a real cost: Databricks cloud compute is billed separately by the cloud provider on top of Databricks DBU charges; Seven Bridges the parent merged into Velsera in 2023 alongside Pierian and UgenTec, so the platform now competes for roadmap attention with clinical interpretation and diagnostics products inside a private equity owned group.
  • They diverge on capability: Databricks covers Delta Lake, Seven Bridges covers Trusted research environment.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Databricks and Seven Bridges actually diverge.

Attributes where Databricks and Seven Bridges differ
AttributeDatabricksSeven Bridges
Starting priceFreeOn request
Pricing modelusage-basedquote
Free tierYesNo
PlatformsWeb, Aws, Azure, GcpWeb, API, Cloud
CategoryMachine LearningResearch
Founded2013Unknown

Identical on both: user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Databricks

  • Delta Lake
  • Apache Spark
  • MLflow
  • Unity Catalog
  • Photon Engine
  • Collaborative Notebooks
  • Auto-scaling
  • AWS

Only in Seven Bridges

  • Trusted research environment
  • Cloud-agnostic
  • CWL pipelines
  • Compliance certifications
  • Cost prediction
  • Public data commons
  • Collaboration
  • Tool library

What people use each for

The jobs each tool is most often brought in to do.

Databricks

  • Running Spark data engineering pipelines on managed clustersnot Seven Bridges
  • Building a lakehouse over data in cloud object storagenot Seven Bridges
  • Training and serving machine learning models alongside the datanot Seven Bridges

Seven Bridges

  • A cancer genomics group analysing controlled-access dbGaP data that cannot be moved to local infrastructurenot Databricks
  • A federal or federally funded programme that needs FedRAMP Moderate authorisation for its analysis environmentnot Databricks
  • A multi-institution consortium sharing pipelines and results under defined access controls rather than by emailing filesnot Databricks
  • A diagnostics developer building reproducible CWL pipelines that must stand up to later regulatory reviewnot Databricks

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Databricks

  • Cloud compute is billed separately by the cloud provider on top of Databricks DBU charges
  • The free trial lasts 14 days
  • Discounts require a Committed Use Contract, with larger commitments needed for larger discounts
  • Azure Databricks pricing is set by Microsoft rather than by Databricks
  • Security and compliance capabilities are sold as separate platform add ons rather than included in the base rate

Seven Bridges

  • The parent merged into Velsera in 2023 alongside Pierian and UgenTec, so the platform now competes for roadmap attention with clinical interpretation and diagnostics products inside a private equity owned group.
  • Pricing is not published and splits into a platform subscription plus consumption-based cloud compute, so a heavy analysis quarter produces a bill that headcount-based budgeting does not anticipate.
  • The analysis capability itself has credible open source equivalents in Nextflow and Cromwell on raw cloud, so you are principally paying for compliance and governance rather than for the science.
  • Pipelines are built around Common Workflow Language, which is a real learning curve and a portability commitment for teams whose existing work is in other workflow languages.
  • Cloud storage of large genomic datasets accrues continuously whether or not you are analysing, and egress charges apply when moving results out, both of which are outside the subscription line.

Pricing, plan by plan

Databricks

Free
  • Community EditionFree
    • Limited cluster
    • Notebook environment
    • Community support
  • Standard$0.07/DBU
    • Jobs compute
    • SQL compute
    • Standard support

Seven Bridges

On request
  • Seven Bridges Platform$undefined/year
    • Platform subscription quoted through Velsera sales
    • Cloud compute and storage charged on consumption on top of the subscription
    • Cost predictor tools provided to estimate analysis spend in advance

Which should you pick?

Choose Databricks if

  • You need delta lake.
  • You want to start without paying.
  • You work on Web, Aws, Azure, Gcp.
  • You also want apache spark.
Databricks review

Choose Seven Bridges if

  • You need trusted research environment.
  • You work on Web, API, Cloud.
  • You also want cloud-agnostic.
Seven Bridges review

Questions people ask

Is Databricks or Seven Bridges better?
Neither clearly leads. Databricks starts at Free and Seven Bridges at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Databricks or Seven Bridges?
Databricks has a free tier; the other does not. Paid plans start at Free for Databricks and On request for Seven Bridges.
Does Databricks or Seven Bridges run on more platforms?
Databricks runs on Web, Aws, Azure, Gcp. Seven Bridges runs on Web, API, Cloud.
Can I use Databricks for free?
Yes. Databricks has a free tier, so you can try it without paying. Seven Bridges starts at On request.
What is Databricks best used for?
Databricks is most often used for running spark data engineering pipelines on managed clusters, building a lakehouse over data in cloud object storage, training and serving machine learning models alongside the data. Of those, running spark data engineering pipelines on managed clusters and building a lakehouse over data in cloud object storage are not what Seven Bridges is typically brought in for.
What can Databricks do that Seven Bridges cannot?
Databricks covers Delta Lake, Apache Spark, MLflow, Unity Catalog. Seven Bridges covers Trusted research environment, Cloud-agnostic, CWL pipelines, Compliance certifications.

Answered from the vendors’ own pages

Databricks: How is Databricks priced?

Databricks bills pay as you go with no up front cost, charging per second for the products used. Consumption is measured in Databricks Units, a normalised unit of processing power on the platform.

Source
Seven Bridges: Is Seven Bridges still sold?

Yes. It is sold by Velsera, formed in 2023 when Summa Equity merged Seven Bridges with Pierian and UgenTec. The Seven Bridges name was retained for the platform.

Databricks: Does Databricks publish a per DBU price?

Not on its main pricing page. Rates vary by product and instance type, and Databricks directs buyers to individual product pricing pages and a calculator rather than listing a single figure.

Source
Seven Bridges: What compliance does it hold?

FedRAMP Moderate, SOC 2, HIPAA, GDPR, dbGaP and ISO 27001, 27017, 27018 and 27701, which is the usual reason institutions choose it over building on raw cloud.

Databricks: Does the Databricks price include cloud costs?

No. Databricks states that if you configure it to work with your own cloud account, your cloud provider still charges you separately for the underlying resources.

Source
Seven Bridges: How is it priced?

Not published. Expect a platform subscription plus consumption charges for cloud compute and storage.

Databricks: Can I get a discount on Databricks?

Databricks offers Committed Use Contracts, where larger usage commitments earn greater benefits, including options to use commitments flexibly across multiple clouds.

Source
Seven Bridges: Do I have to use a specific cloud?

No. The platform is cloud-agnostic and designed to bring analysis to where the data already resides.

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