How do I sync Storepoint data to Databricks?

Sign up for Weld, connect Storepoint as a source and Databricks as a destination. Weld handles the extraction, loading, and lets you transform data using SQL or dbt.

What Storepoint data can I sync to Databricks?

You can sync the objects the Storepoint connector exposes. The available objects depend on your Storepoint account permissions and configuration.

How often does Weld sync data from Storepoint?

Sync frequency depends on your Weld plan. Schedules range from every 5 minutes to daily intervals. Each sync processes only new and changed data.

Can I transform Storepoint data before it lands in Databricks?

Yes. Weld supports SQL-based transformations in the platform and integrates with dbt Cloud. You can clean, join, and model your data before analysis.

Is the Storepoint to Databricks integration secure?

Yes. Weld encrypts all data in transit and at rest, is SOC 2 Type II certified, and supports IP whitelisting. Credentials are stored encrypted and never logged.

Storepoint to Databricks integration

Connect Storepoint to Databricks and automatically sync your application data. Weld extracts data from Storepoint, loads it into Databricks, and lets you transform the data using SQL or dbt, no custom scripts required.

Start for free View setup guide

4.8 on G2

Source

Weld

Warehouse

Weld · New sync

SourceStorepointConnected

Tables to sync

location_custom_field4 cols
location22 cols
location_tag3 cols

Extract
Load
Keep in sync

DestinationDatabricksReady

storepoint schema

storepoint.location_custom_fieldSynced
storepoint.locationSyncing
storepoint.location_tagSynced

Storepoint tables: 4
fields, typed: 33
relationships kept: 1
agent context included: MCP

Trusted by data and AI teams

How it works

How to set up Storepoint to Databricks in Weld.
In the app, with the API or an agent.

Setup guide API guide MCP docs

Weld · New Storepoint sync

New connectionStorepointAuthorised

Connection namestorepoint

AuthorizeOpens Storepoint to grant read access

Use cases

Why sync Storepoint to Databricks?
Ready for analysis.

Centralizing your Storepoint data in Databricks lets you join it with other data sources for cross-platform analytics and deeper insights.

Build reliable dashboards and reports by querying Storepoint data directly in Databricks using SQL or your preferred BI tool.

Centralized data warehouse
Bring Storepoint data into Databricks alongside other sources to create a single source of truth for your organization.
Automated reporting
Replace manual exports and spreadsheet-based reporting with automated pipelines from Storepoint to Databricks. Connect BI tools like Looker, Metabase, or Power BI.

Schema

What data can you sync?
Every Storepoint table, keys intact.

Weld syncs the objects the Storepoint connector exposes into Databricks, and you choose which tables and fields to include. The connector's docs list what is available.

Open the schema explorer

All 4 tables

location_custom_field
location
location_tag

Weld MCP server

Ask your agent.
It queries Databricks for you.

Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the Storepoint context, finds the tables it needs and runs the query in Databricks.

Set up the MCP server

Claude CodeOpus 5

ConnectedWeld MCPAgent contextStorepointtables4fields33joins1

How many location_custom_field rows do we have per location? Use our Storepoint data in Databricks.

Reading the Storepoint context first, so the query uses the right tables and keys.

●weld·search_available_references

⎿raw.storepoint.location_custom_field

raw.storepoint.location

+ 2 more Storepoint tables

●weld·get_reference_schema

⎿location_custom_field · 4 columns

joins location on location_id

●weld·run_query

⎿select j.id, count(*) from {{raw.storepoint.location_custom_field}} l

join {{raw.storepoint.location}} j on l.location_id = j.id

group by 1

submitted

●weld·get_query_status

⎿DONE

●weld·get_query_result

⎿rows returned

✓Answered from Storepoint data in Databricks

>Ask about your Storepoint dataMCP

Under the hood

Technical considerations.
What to expect.

Incremental syncing: Weld uses incremental syncing where supported by the Storepoint API, loading only new and updated records to minimize data transfer and warehouse costs.
Schema handling: Weld automatically manages schema changes. If Storepoint adds new fields, they're detected and added to the corresponding Databricks tables.
Data freshness: Sync frequency depends on your Weld plan. Most connectors support schedules from every 5 minutes up to daily intervals.
Security: All data is encrypted in transit (TLS) and at rest. Weld is SOC 2 Type II compliant and supports IP whitelisting for database connections.

Resources

Keep reading.
Guides, docs and schema.

Documentation

Storepoint setup guide

How to connect Storepoint to Weld, step by step.

Documentation

Databricks setup guide

How to connect Databricks to Weld, step by step.

Schema

Storepoint schema explorer

Browse all 4 tables and 33 fields.

Connector

Storepoint connector

Everything Weld does with Storepoint.

FAQ

Common questions.
About Storepoint to Databricks.

Start syncing Storepoint to Databricks.

Set up your Storepoint data pipeline in minutes. No credit card required. Free for 14 days.

Source

Weld

Warehouse

Start for free Talk to us

Related integrations.
More with Storepoint and Databricks.

View all

Storepoint to Databricks integration

How to set up Storepoint to Databricks in Weld.In the app, with the API or an agent.

Why sync Storepoint to Databricks?Ready for analysis.

Centralized data warehouse

Automated reporting

What data can you sync?Every Storepoint table, keys intact.

Ask your agent.It queries Databricks for you.

Technical considerations.What to expect.

Keep reading.Guides, docs and schema.

Common questions.About Storepoint to Databricks.