Features
Stop building lists by hand Describe who you want, get the rows.

Turn a half-known contact into a real one A name and a company become a LinkedIn profile.

Send to people who will actually receive it Professional address, verified before it lands.

Reach a decision maker without a gatekeeper Direct mobile numbers, not a switchboard.

Arrive at the moment something changed Know when to reach out, not just who.

Prospect by asking, not by clicking The same engine, asked from your AI chat.

Make enrichment a step in your pipeline Wire enrichment into your own stack.

Every action, one credit system Every action Derrick can run, with what each one costs.
Pricing
Derrick for
You are the sales team, for now Sell before you have a sales team.

Spend the day talking, not researching A clean list every morning, not once a quarter.

A pipeline nobody has to maintain by hand Keep the pipeline current without admin.

One tool, every client account Deliver to a client without another seat to buy.

Fix the data before it reaches the funnel Feed the CRM and the automations upstream.

Compete with teams ten times your size The whole stack, on a solo budget.

Sourcing is prospecting with a different word Reach candidates where they actually answer.
Guides
Data
Data Enrichment What enrichment is, and what it is not. B2B Data Providers Who sells what, and how to read a quote. Data Quality Management Keeping a base clean once it is built.

Data Points
Data Enrichment Benefits
Business Data
GDPR B2B
Scraping & Enrichment
LinkedIn Scraper What you can collect, and what you cannot. Sales Navigator Getting a search to hold together. Enrichment API Calling enrichment from your own code.

LinkedIn Profile
Company Information
Google Sheets
CRM Data Enrichment
B2B Intent Data
AI Enrichment
GTM & Growth
Email Finder Finding an address without guessing it. Phone Finder Where mobile numbers actually come from. Cold Email Writing something worth answering.

B2B Marketing
LinkedIn Profile Finder
Website Technology
Best Agencies
Recruitment Sourcing
Tutorials
Start here if the word is new to you What enrichment is, and what it is not.

Know what you are being sold Who sells what, and how to read a quote.

A base decays the day you stop looking Keeping a base clean once it is built.

The line between collecting and overstepping What you can collect, and what you cannot.

A search is only as good as its filters Getting a search to hold together.

When the spreadsheet is no longer the place Calling enrichment from your own code.

A guessed address is a bounce waiting Finding an address without guessing it.

Why one tool finds a number and another does not Where mobile numbers actually come from.

The list is half the work, the copy is the rest Writing something worth answering.
Competitors
Derrick vs Apollo Everything in the sheet you already work in No platform to migrate to, and no seat to buy per user.

Derrick vs ZoomInfo Enterprise-grade data from 9 euros a month Self-serve, no annual contract, no minimum seats.

Derrick vs Cognism European coverage without the European price Phones and emails across the EU, paid by the credit.

Derrick vs Clay Running in ten minutes, not ten hours Pick an action, map a column, run. No build phase.

Derrick vs FullEnrich One credit system across thirty-two actions Find, verify, enrich and push from the same balance.

Derrick vs Clearbit Still self-serve, still bought by the credit No enterprise gate between you and the data.

Derrick vs BetterContact The multi-source lookup, plus everything after it The same tool imports, enriches, verifies and pushes.

Derrick vs Kaspr Mobile numbers without leaving your list No extension to open profile by profile.

Compare before you commit Fifty-one B2B sales tools, benchmarked side by side.

English Add to Google Sheets

Databricks email format

Most Databricks addresses follow the first.last@databricks.com pattern (e.g. john.smith@databricks.com) (as of August 2026). See the worked variants below before you reach out.

Databricks email format pattern

first.last@databricks.com

Common Databricks email format variants

Pattern	Example
first.last@databricks.com	alex.morgan@databricks.com
first@databricks.com	alex@databricks.com
f.last@databricks.com	a.morgan@databricks.com
firstlast@databricks.com	alexmorgan@databricks.com
first_last@databricks.com	alex_morgan@databricks.com

These are company-level patterns. Individual verified, deliverable addresses are revealed in Google Sheets with Derrick.

Looking for a specific person?

FAQ

What is Databricks's email format?

Databricks generally uses the first.last@databricks.com format (for example john.smith@databricks.com). See the variants table above for the other common patterns.

How do I find a specific Databricks employee's email?

Apply the first.last@databricks.com pattern to their name, then find and verify the real, deliverable address with Derrick directly in Google Sheets, so you do not guess.

How do I verify a Databricks email address?

Run the address through Derrick's Email Verifier in Google Sheets. It confirms whether the mailbox is valid and deliverable before you send.