Databricks
Filament

Ask questions about your Databricks data

Connect Databricks to Filament and turn complex dashboards, analytics, and business intelligence into a simple conversation. No spreadsheets. No setup. Just instant answers.

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Databricks stores your lakehouse data, but connecting table metrics to business outcomes means working across analytics platforms, customer tools, and revenue systems. Filament links your Databricks catalog structure and table data to other sources so you can explore data quality trends, schema evolution, and how lakehouse changes affect downstream business metrics.

Metrics dashboard
Finance dashboard
SEO dashboard

Track Databricks KPIs with Filament Analytics

Connect your Databricks account to Filament and instantly track your most important KPIs. All in plain English dashboards that update automatically.

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Key Databricks metrics you can track in Filament:

Tables
Track all delta format tables with table_name, schema_name, table_type, and row_count to monitor data volume and structure changes.
records:
table_nameschema_nametable_typerow_countcreated_time
Schemas
Monitor database schemas within your catalog including schema_name, catalog_name, owner, and comment for governance tracking.
records:
schema_namecatalog_nameownercommentcreated_time
Table Metadata
Access table structure details with column_name, data_type, nullable, partition_index, and table_constraints for data quality analysis.
records:
column_namedata_typenullablepartition_indextable_constraints
Change Data Feed
Track historical changes and deletions with change_type, commit_version, commit_timestamp, and operation_metrics to understand data evolution.
records:
change_typecommit_versioncommit_timestampoperation_metricsrow_data
Table Rows
Access all row and column data from selected tables with automatic type transformation for business analytics and reporting.
records:
all_columnsrow_idpartition_key
Catalog Structure
View catalog organization with catalog_name, metastore_id, owner, and properties to understand your lakehouse architecture.
records:
catalog_namemetastore_idownerpropertiescreated_time
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Combine Databricks with other data sources

Your business runs on more than one app, and your analytics should too. With Filament, Databricks lives side-by-side with sales, finance, and customer tools. Bring it all together in one intelligent workspace and finally see the full picture.

attio
hubspot
intercom
raisely
salesforce-connector
stripe
xero
facebook-ads
google-ads
ga4
gsc
campaign-monitor
customerio
instagram-business
linkedin-ad-analytics
mailchimp
snapchat-ads
tiktok-ads
twitter-ads
airtable
google_sheets
mysql
postgres
quickbooks
shopify
woocommerce
amplitude
asana
eventbrite
freshdesk
github
jira
klaviyo
mixpanel
notion
segment
slack
trello
zendesk-support
attio
hubspot
intercom
raisely
salesforce-connector
stripe
xero
facebook-ads
google-ads
ga4
gsc
campaign-monitor
customerio
instagram-business
linkedin-ad-analytics
mailchimp
snapchat-ads
tiktok-ads
twitter-ads
airtable
google_sheets
mysql
postgres
quickbooks
shopify
woocommerce
amplitude
asana
eventbrite
freshdesk
github
jira
klaviyo
mixpanel
notion
segment
slack
trello
zendesk-support

Your Databricks data gets even more powerful when combined with other tools:

Databricks
Segment

Databricks + Segment

Connect Databricks table data with Segment event tracking to see how data pipeline changes affect customer behavior metrics and identify data quality issues impacting analytics.

Databricks
Stripe

Databricks + Stripe

Connect Databricks table metrics with Stripe revenue data to track how lakehouse data volume and schema changes correlate with payment processing and subscription trends.

Databricks
Google Analytics 4

Databricks + Google Analytics 4

Connect Databricks catalog structure with GA4 session data to understand how data warehouse changes affect web analytics reporting and identify discrepancies between lakehouse and analytics platforms.

Benefits of Filament's Databricks Integration

Ask in plain English

Start with a question like 'How did MRR trend last year?' and you'll get an instant dashboard from across your apps. No configuration, no code.

chatMRR

No setup

Filament is like Looker Studio or PowerBI, but it will set itself up. It understands your data, and automatically connects the dots.

easy setup

Gets smarter over time

Filament remembers your context and preferences, so you spend less time explaining and answers that align with your goals.

memories

How it works

Step 1: Connect your Databricks account

Connect your Databricks account to Filament and get instant access to your data. No technical setup required.

Step 2: Ask questions about your Databricks data

Start asking questions like "Which campaigns drive the most qualified leads?"

Step 3: Build Databricks dashboards in minutes

Get tailored insights instantly and share them with your team.

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Better business decisions with AI Analytics

How to get more from your data

Most teams only scratch the surface of what's possible with their data. Reports get buried in dashboards, exports pile up in spreadsheets, and critical insights never reach decision-makers. Filament changes that.

With Filament, your data is analyzed by an AI data analyst that understands plain English. Instead of struggling with complex BI tools or waiting for reports, you can instantly ask questions about revenue, marketing performance, customer engagement, or retention, and get clear answers in seconds.

Because Filament connects data across marketing, product, CRM, and finance systems, it helps you answer the bigger questions that traditional dashboards can't:

  • Which campaigns and channels actually drive revenue growth?
  • How does user engagement translate into pipeline or sales performance?
  • Where are we losing efficiency between acquisition, retention, and finance?

By combining AI-powered reporting, conversational dashboards, and cross-platform integration, Filament helps you move beyond surface-level metrics and uncover the insights that drive smarter, faster business decisions.

Enterprise-grade security

Complete data isolation, data encryption at rest and in-transit, and secure, accredited cloud providers keep your organisation's data protected. We never use your data for AI training or share it with third parties.

Learn more about security

Databricks integration FAQ

Everything you need to know about connecting Databricks with Filament and getting the most out of your data.