Skip to content
Try QuaerisAI

QuaerisAI and Databricks

“Databricks is for data scientists. QuaerisAI is for decision-makers.”

Let’s Talk Databricks

Databricks is a brilliant platform if you’re deeply technical and your entire data estate is structured, clean, and already inside the lake.

But here’s the problem: Most businesses don’t live in the lakehouse full-time.

Your data is scattered across SQL Server, Oracle, Postgres, SharePoint, third-party tools, and deeply buried inside documents. Databricks can’t touch most of it—unless you move everything into its ecosystem. That’s costly, time-consuming, and unrealistic for most teams.

Enter QuaerisAI: your all-in-one, ask-anything interface for the real world of business data.

Try for Free
img-1092

Already using Databricks?
Supercharge it.

QuaerisAI doesn’t replace Databricks—it unlocks it for the rest of your organization. Keep your lakehouse where it is, and layer QuaerisAI on top to give non-technical users access without touching a line of code.

QuaerisAI: Built for Business,

Not Just Data Scientists

Ease of Use

  • Databricks is great—if you know Python, SQL, Spark, and how to manage a notebook. For most business users, it’s like trying to operate a spaceship just to get last quarter’s revenue by product line.
  • QuaerisAI doesn’t require a PhD in data science—or any training at all. Just ask a question in plain English. “Show me customer churn by region,” and QuaerisAI will deliver the answer (chart included) instantly.
  • Databricks is built for coders. QuaerisAI is built for humans.
img-1093
img-1094

Total Cost of Ownership

  • Databricks operates on a consumption-based pricing model that can sneak up on you. Every query, every notebook, every model run eats into your compute credits. Not to mention the data engineering time required to maintain those workflows.
  • QuaerisAI dramatically reduces cost per query. By optimizing what gets queried and when, caching smartly, and reducing redundant compute, QuaerisAI ensures your insights don’t come with hidden costs. Plus, you don't need to buy and integrate 3–4 other tools just to interact with data.
  • Fewer queries. Fewer licenses. Lower costs.

Total Cost of Ownership

  • Databricks operates on a consumption-based pricing model that can sneak up on you. Every query, every notebook, every model run eats into your compute credits. Not to mention the data engineering time required to maintain those workflows.
  • QuaerisAI dramatically reduces cost per query. By optimizing what gets queried and when, caching smartly, and reducing redundant compute, QuaerisAI ensures your insights don’t come with hidden costs. Plus, you don't need to buy and integrate 3–4 other tools just to interact with data.
  • Fewer queries. Fewer licenses. Lower costs.
img-1094

Ease of Implementation

  • Databricks is not a plug-and-play tool. You’ll need cloud engineers, security reviews, connectors, pipelines, and data engineering sprints just to stand it up—and that’s before you get to dashboards or ML models.
  • QuaerisAI connects in days, not months. No heavy lifting. Just connect to your data (wherever it lives), and you’re off to the races. It works with SQL, Oracle, Postgres, cloud storage, and yes—Databricks, too.
  • QuaerisAI meets your data where it is. Databricks wants it to relocate.
img-1095
img-1096

Collaboration Tools

  • Databricks supports notebooks and shared workspaces—awesome for data teams, but not exactly business-friendly. Collaboration typically means copying code snippets, publishing dashboards, or exporting CSVs into emails.
  • QuaerisAI builds collaboration into the core experience. Tag a teammate in a query. Share a question and its answer. Follow threads of inquiry. It’s like your BI tools merged with Slack, but better—because the insights are alive, not static.
  • Insights aren’t just shared—they’re part of the conversation.

Collaboration Tools

  • Databricks supports notebooks and shared workspaces—awesome for data teams, but not exactly business-friendly. Collaboration typically means copying code snippets, publishing dashboards, or exporting CSVs into emails.
  • QuaerisAI builds collaboration into the core experience. Tag a teammate in a query. Share a question and its answer. Follow threads of inquiry. It’s like your BI tools merged with Slack, but better—because the insights are alive, not static.
  • Insights aren’t just shared—they’re part of the conversation.
img-1096

Talking to Data and Documents

  • This is where the game changes.
  • Databricks doesn’t do documents. It can process structured data and run NLP on prepared text, but it can’t “read” your contracts, PDFs, or board decks in a useful, business-user-friendly way.
  • QuaerisAI unifies structured and unstructured information— in one sleek interface. That means you can ask, “What’s our top vendor spend, and what are their payment terms?” and get the answer from both your ERP tables and your supplier contracts—instantly.
  • One question. All the answers. No switching tools.
img-1035
undraw_questions_g2px

Procurement Review

Use Case

  • A COO wants to know: “Which vendors are costing us the most, and what are their payment terms?”
  • With Databricks: You’ll need to write Spark queries, join multiple datasets, and separately analyze PDF contracts.
  • With QuaerisAI: Just ask the question. The answer pulls from both your ERP system and vendor contracts—instantly.

Procurement Review

Use Case

  • A COO wants to know: “Which vendors are costing us the most, and what are their payment terms?”
  • With Databricks: You’ll need to write Spark queries, join multiple datasets, and separately analyze PDF contracts.
  • With QuaerisAI: Just ask the question. The answer pulls from both your ERP system and vendor contracts—instantly.
undraw_questions_g2px

Tip for Data Teams

Already using Databricks for advanced modeling? Use QuaerisAI to make those insights accessible to execs, operations, and front-line managers—without adding new dashboards.

Group 140-1-1

Where Databricks Makes Sense

Databricks is a powerful platform—no question. If your organization is focused on heavy data engineering and machine learning, and your entire data ecosystem is already in the lakehouse, it might be the right fit.

Databricks shines when:

  • Your data lives 100% in SNO or Databricks-native formats
  • You have a large data team fluent in notebooks, Spark, and distributed processing
  • You’re building ML models, pipelines, or complex transformations
  • You want an end-to-end engineering platform, not a self-service analytics layer
  • You’re okay managing high infrastructure and compute costs

It’s great for engineering teams solving deep data problems—not for everyday business users asking everyday business questions.

Group 140-1-1

Where QuaerisAI Wins

If your data is scattered across platforms (and let’s face it—it is), or your team includes more decision-makers than developers, QuaerisAI is your smarter, simpler path to insight.

QuaerisAI is the better choice when:

  • Your data is in multiple places: Snowflake, SQL, Oracle, Postgres, cloud drives, and file systems
  • You want to skip the dashboards and just ask questions in plain English
  • Your teams work with data and documents (contracts, reports, PDFs)
  • You’re looking for fast time-to-value—live in weeks, not months
  • You need to control compute and query costs
  • You care about collaboration and business adoption—not just code

Databricks is built for the builders. QuaerisAI is built for the business.

QuaerisAI vs. Databricks

Feature QuaerisAI Databricks
Built For
Business Users
Data Scientists, Engineers
Natural Language Questions
Yes
No (Requires Code/SQL)
Unstructured Data (Docs, PDFs)
Yes
Not Natively
Data Movement Required
No
Usually Required
Implementation Time
Days
Weeks–Months
Collaboration Model
Real-Time, Conversational
Code-based, Static Dashboards
Total Cost of Ownership
Transparent, Low
Compute-Heavy, Usage-Based

Ready to go from complex code to clear answers?

Talk to your data today in one interface. All your data. All your documents. Just ask.

Book Your Demo