Aginity vs Databricks Comparison
Aginity
Starting at $150 /User/Year
- Free Trial
- Freelancers / Consultants
- Large Enterprises
Aginity is machine learning software for core financial analytics. The products harvest insights from highly complex data sources including market, reference, and social exposures. Applications include counterparty risk…
Databricks
Starting at $0.07
- Individuals
- Freelancers / Consultants
Databricks provides an effective way to manage data warehouses and unify different kinds of analytics, data, and AI. All these are kept safe in a single secure location. The platform is designed to be flexible, reliable,…
Databricks leads on user satisfaction with a 4.1-star rating across 104 reviews.
Aginity vs Databricks — at a glance
| Feature | Aginity | Databricks |
|---|---|---|
| Rating | 3.9 / 5 | 4.1 / 5 |
| Reviews | 12 | 104 |
| Starting price | $150 /User/Year | $0.07 |
| Free trial | Yes | No |
| Free version | No | No |
| Best for | Freelancers / Consultants, Large Enterprises, Medium Business | Individuals, Freelancers / Consultants, Large Enterprises |
| Category | Machine Learning Software | Data Warehouse Software |
| Platforms | SaaS/Web/Cloud | SaaS/Web/Cloud |
| API | Available | Available |
| Support modes | Online | Business Hours, Online |
| Certifications | — | SOC 2 |
| Data residency | US | Global |
Key differences between Aginity and Databricks
- Pricing: Aginity starts at $150 /User/Year, while Databricks starts at $0.07.
- Free trial: Aginity offers a free trial; Databricks does not.
- Target audience: Aginity is built for Freelancers / Consultants and Large Enterprises, while Databricks targets Individuals and Freelancers / Consultants.
- User satisfaction: Databricks scores higher with a 4.1-star average.
- Deployment: Aginity supports SaaS/Web/Cloud; Databricks supports SaaS/Web/Cloud.
Aginity vs Databricks — find the better fit before you commit.
Which tool fits your team best
Which is actually cheaper for your team size
Where each product wins, per real buyers
Most Machine Learning Software tools look identical on paper. This comparison cuts to the differences that matter — pricing structure, team fit, and what real buyers found after signing up.
Biggest differences
Features
Pricing
Buying details
Security
Buyer feedback
Integrations
Product tour
Other options
Talk to an expert Talk to an expert |
Biggest differences
Start here before you go deeper into features.
Best for advanced financial analytics and risk modeling with complex data.
- You need scalable machine learning solutions for diverse financial data sources.
- Your team consists of data scientists or quantitative analysts focused on finance.
- You require support for complex applications like M&A valuation and stress testing.
- You are a small business without complex financial data needs.
- You want an easy-to-use, out-of-the-box analytics tool with transparent pricing.
Individuals, Freelancers / Consultants, Large Enterprises
Aginity typically suits Freelancers / Consultants and Large Enterprises. Databricks tends to fit Individuals and Freelancers / Consultants better. The right choice depends on your team size, workflow, and whether a free trial matters.
Description | Aginity is machine learning software for core financial analytics. The products harvest insights from highly complex data sources including market, reference, and social exposures. ... Read More about Aginity | Databricks provides an effective way to manage data warehouses and unify different kinds of analytics, data, and AI. All these are kept safe in a single secure location. The platform is ... Read More about Databricks |
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User RatingsBased on verified Spotsaas reviews | ||
Best Company Size | Medium BusinessLarge Enterprises | — |
Get pricing help | Get pricing help |
Software Demo
Demo |
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How do Aginity and Databricks Compare on Features?
Total Features | 0 Features | 5 Features |
|---|---|---|
Unique Features | No features | No unique features |
Get Quote | Get Quote |
Compare Aginity and Databricks on pricing
Review starting price, plan structure, and free-trial access side by side so you can see which option fits your budget and buying process.
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Get help choosing | Get help choosing |
Security & Compliance
Certifications, data handling, and security controls for IT and compliance evaluators.
SOC 2 | — | ✓ Yes |
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HIPAA | — | ✗ No |
Data Residency | 🇺🇸 US | 🌐 Global |
Aginity User Reviews & Rating Comparison
User Ratings | ||
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Rating Distribution | ||
Spotsaas Editor’s POV generated by AI | Buyer sentiment Buyers appreciate Aginity's advanced financial analytics capabilities but note concerns around pricing transparency and usability. What buyers like
Common complaints
| Buyer sentiment Buyer sentiment is positive across 45 reviews, with strong overall satisfaction. |
Pros and Cons |
| No pros or cons available for this product |
Positive Reviews | No reviews available for the product | No reviews available for the product |
List of Customers
Customers | No Customers information available. |  Nielsen  Bechtel  Sevatec |
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Media and Screenshots
Screenshots |  2 Screenshots | No screenshots available. |
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Videos |  3 Videos |  2 Videos |
Top Alternatives to Aginity and Databricks in 2026
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Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].
Frequently asked questions
- Which is better, Aginity or Databricks?
- Databricks edges out the other on user ratings (4.1 vs 3.9). That said, the best pick depends on your use case — use the comparison tables above to evaluate each dimension.
- Do Aginity and Databricks offer a free trial?
- Aginity offers a free trial. Databricks does not.
- What is the starting price of Aginity vs Databricks?
- Aginity starts at $150 /User/Year. Databricks starts at $0.07.
- What are the top alternatives to Aginity?
- Top alternatives to Aginity include ManageEngine Analytics Plus, IBM Cognos Analytics, Acho, Iteratively, SAS Advanced Analytics.
- What are the top alternatives to Databricks?
- Top alternatives to Databricks include Synapse, Snowflake, Qualified, Datascale, Workvivo.