Machine Learning · head to head
Databricks vs Sisense

Databricks
Machine Learning
Unified analytics platform for data engineering and data science
- From
- Free
- Rated
- -
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; Sisense pricing lacks transparency with opaque scaling costs and hidden fees for onboarding and training
- They diverge on capability: Databricks covers Delta Lake, Sisense covers Embedded Analytics.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Databricks and Sisense actually diverge.
| Attribute | Databricks | Sisense |
|---|---|---|
| Starting price | Free | $10000/year |
| Pricing model | usage-based | Unknown |
| Free tier | Yes | No |
| Platforms | Web, Aws, Azure, Gcp | Web, Cloud, On-premises |
| Category | Machine Learning | Business Intelligence |
| Founded | 2013 | 2004 |
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
- GCP
Only in Sisense
- Embedded Analytics
- AI/ML Integration
- In-chip Technology
- White-labeling
- REST API
- Snowflake
- Google Cloud
- Salesforce
Both cover
- AWS
- Azure
- Web support
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 Sisense
- Building a lakehouse over data in cloud object storagenot Sisense
- Training and serving machine learning models alongside the datanot Sisense
Sisense
- Self-service analyticsnot Databricks
- Data explorationnot Databricks
- Ad-hoc reportingnot Databricks
- Collaborative analysisnot Databricks
- Embedded analyticsnot 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
Sisense
- Pricing lacks transparency with opaque scaling costs and hidden fees for onboarding and training
- Limited connector ecosystem compared to competitors; missing native connectors to many data sources
- Dashboard customization options are limited; widgets cannot span multiple rows, restricting layout possibilities
- Performance issues reported with large datasets and stability problems with data cubes
Pricing, plan by plan
Databricks
Free- Community EditionFree
- Limited cluster
- Notebook environment
- Community support
- Standard$0.07/DBU
- Jobs compute
- SQL compute
- Standard support
Sisense
$10000/year- Small Team$10000/year minimum
- Basic analytics dashboards
- Limited data sources
- Mid-Market$undefined/custom
- Advanced analytics
- Multiple data sources
- Custom integrations
- Enterprise$60000/year+
- Advanced AI analytics
- Premium support
- Custom development
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.
Choose Sisense if
- You need embedded analytics.
- You work on Web, Cloud, On-premises.
- You also want ai/ml integration.
Questions people ask
- Is Databricks or Sisense better?
- Neither clearly leads. Databricks starts at Free and Sisense at $10000/year, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Databricks or Sisense?
- Databricks has a free tier; the other does not. Paid plans start at Free for Databricks and $10000/year for Sisense.
- Does Databricks or Sisense run on more platforms?
- Databricks runs on Web, Aws, Azure, Gcp. Sisense runs on Web, Cloud, On-premises.
- Can I use Databricks for free?
- Yes. Databricks has a free tier, so you can try it without paying. Sisense starts at $10000/year.
- 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 Sisense is typically brought in for.
- What can Databricks do that Sisense cannot?
- Databricks covers Delta Lake, Apache Spark, MLflow, Unity Catalog. Sisense covers Embedded Analytics, AI/ML Integration, In-chip Technology, White-labeling. Both handle AWS, Azure, Web support.
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.
SourceSisense: What is Sisense primarily used for?
Sisense is an embedded analytics platform that combines data ingestion, modeling, and dashboarding, allowing organizations to embed analytics and insights directly into their applications and workflows.
SourceDatabricks: 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.
SourceSisense: Does Sisense have a transparent pricing model?
Sisense pricing is not publicly listed and requires contacting sales. Typical costs start at $10,000 per year for small teams but can scale to $60,000+ annually depending on users, data volume, number of data sources, and complexity. AI capabilities typically add 20-30% to base costs.
SourceDatabricks: 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.
SourceSisense: What data sources can Sisense connect to?
Sisense provides pre-built connectors for popular applications including Salesforce, Google Analytics, Zendesk, and others. It also supports custom connections through APIs and SDKs for specialized data sources.
SourceDatabricks: 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.
SourceSisense: Is Sisense easy to use for non-technical users?
Sisense requires significant technical expertise to set up, particularly for creating Elasticubes (database caches) which often need SQL code. While it promotes codeless reporting, typical implementations require a technical resource.
SourceRelated pages
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- Sisense vs Azure Machine Learning
- Sisense vs DataRobot
- Sisense vs TensorFlow
- Sisense vs SAS
- Sisense vs Snowflake
- Sisense vs Apache Spark MLlib
- Sisense vs Alteryx
- Sisense vs IBM SPSS
- Sisense vs Palantir Foundry
- Sisense vs BentoML
- Sisense vs ClearML
- Sisense vs Cohere
- Sisense vs Dask
- Sisense vs Fal AI
- Sisense vs BigQuery ML
- Sisense vs Dundas BI
- Sisense vs MicroStrategy
- Sisense vs GoodData
- Sisense vs IBM Cognos Analytics
- Sisense vs ThoughtSpot
- Sisense vs Qlik Sense
- Sisense vs Glassbox
- Sisense vs Logi Analytics
- Sisense vs Quantum Metric
- Sisense vs SAP BusinessObjects
- Sisense vs TIBCO Spotfire
- Sisense vs Yellowfin
- Sisense vs Mode
- Sisense vs Oracle Analytics Cloud
- Sisense vs Zoho Analytics
- Sisense vs Baremetrics
- Sisense vs Board International
- Sisense vs Cabin

