STEP 1
Connect Databricks and Google Sheets
Save credentials in WEXTL once. We store them encrypted and reuse the authorization across every workflow [3]. No coding or API skills required.
Databricks and Google Sheets Integration
Build developer tools workflows between Databricks and Google Sheets on a visual canvas — set up data fields sync between apps once and let data flow when events come automatically. Integration will work without code and your team will see the workflow inside WEXTL® builder.
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Learn about Databricks and Google Sheets
Detailed info you need to know about Databricks and Google Sheets integrations in WEXTL. Explore which modules apps support and how you connect them.
Databricks
Run Databricks jobs, clusters, SQL, files, Unity Catalog, and model serving from a workspace. [5]
Google Sheets
Read, write, append, and batch-update spreadsheet data in Google Sheets with dynamic sheet pickers. [6]
How to connect Databricks to Google Sheets
Set up your Databricks and Google Sheets integration in 3 simple steps [2] — no coding required. Up to 10 minutes setup.
STEP 2
Build a workflow
Paste selected Databricks and Google Sheets nodes onto the canvas [4], or describe what you want and WEXTL wires the flow together with AI Builder.
STEP 3
Map your data
Choose which fields need to sync between Databricks and Google Sheets. Use filters or leverage a JS custom code step in between — everything is on the canvas.
How does the integration between Databricks and Google Sheets work in WEXTL?
WEXTL exposes actions and triggers for Databricks and Google Sheets that help you connect apps and automate repetitive tasks [1]. A trigger is an event that happens, an action — a step that performs when the event has occurred.
Databricks triggersGoogle Sheets actions
Databricks modules
- Watch Job RunsTriggers when a Databricks job run starts.
- Cancel All RunsCancels all runs of a job.
- Cancel RunCancels a job run.
- Cancel SQL StatementCancels a SQL statement.
- Change Cluster OwnerChanges the owner of a cluster.
- Create CatalogCreates a catalog.
- Create ClusterCreates a new cluster.
- Create Conversation MessageSends a message in a Genie conversation.
- Create DirectoryCreates a volume directory.
- Create FunctionCreates a function.
- Create JobCreates a new job.
- Create RepoCreates a new repo.
- Create SchemaCreates a schema.
- Create Secret ScopeCreates a secret scope.
- Create Serving EndpointCreates a serving endpoint.
- Create SQL WarehouseCreates a SQL warehouse.
- Create Vector Search IndexCreates a vector search index.
- Create VolumeCreates a volume.
- Create Workspace DirectoryCreates a workspace directory.
- Delete CatalogDeletes a catalog.
- Delete Cluster PermanentlyPermanently deletes a cluster.
- Delete DirectoryDeletes an empty volume directory.
- Delete FileDeletes a file from a Unity Catalog volume.
- Delete FunctionDeletes a function.
- Delete JobDeletes a job.
- Delete RepoDeletes a repo.
- Delete RunDeletes a job run.
- Delete SchemaDeletes a schema.
- Delete SecretDeletes a secret.
- Delete Secret ACLDeletes a secret ACL.
- Delete Secret ScopeDeletes a secret scope.
- Delete Serving EndpointDeletes a serving endpoint.
- Delete SQL WarehouseDeletes a SQL warehouse.
- Delete VolumeDeletes a volume.
- Delete Workspace ObjectDeletes a workspace object.
- Download FileDownloads a file from a Unity Catalog volume.
- Edit ClusterEdits an existing cluster.
- Edit SQL WarehouseEdits a SQL warehouse.
- Execute Message SQL QueryExecutes the SQL query on a Genie message attachment.
- Execute SQL StatementExecutes a SQL statement on a warehouse.
- Export RunExports a job run.
- Export Workspace ObjectExports a workspace object.
- Get CatalogReturns a catalog.
- Get ClusterReturns a single cluster.
- Get Conversation MessageReturns a Genie conversation message.
- Get File MetadataReturns metadata for a volume file.
- Get FunctionReturns a function.
- Get Genie SpaceReturns a Genie space.
- Get JobReturns a single job.
- Get Job RunReturns a single job run.
Google Sheets modules
- Append a RowAppends a single row to a sheet, with one input per column labelled from the header row.
- Append Multiple RowsAppends multiple rows to a sheet in one call, with one set of per-column inputs revealed for each row.
- Append ValuesAppends a row/range of values to a sheet.
- Batch Clear ValuesClears several ranges at once.
- Batch Clear Values by Data FilterClears ranges of values matching data filters.
- Batch Get ValuesReads several ranges at once.
- Batch Get Values by Data FilterReads ranges of values matching data filters.
- Batch Update SpreadsheetApplies structural changes (add sheet, format, merge, etc.).
- Batch Update ValuesWrites several ranges at once.
- Batch Update Values by Data FilterWrites values to ranges selected by data filters.
- Clear ValuesClears values from a range.
- Copy Sheet toCopies a sheet/tab into another spreadsheet.
- Create SpreadsheetCreates a new spreadsheet.
- Get Developer MetadataReads a single developer metadata entry by ID.
- Get SpreadsheetReads a spreadsheet's metadata and sheet list.
- Get Spreadsheet by Data FilterReads a spreadsheet, selecting data by data filters.
- Get ValuesReads a range of values.
- Make an Api CallMakes API call.
- Search Developer MetadataSearches developer metadata matching data filters.
- Update ValuesWrites values to a range.
- Watch New RowsTriggers when a new row is added to a sheet.
Explore alternative integrations
There are other apps [9] supported by WEXTL that can be paired with Databricks and Google Sheets integrations. Pick any from the list below if the current combination isn't the one you need.
Frequently asked questions
Common questions about connecting Databricks and Google Sheets.
Connect your Databricks and Google Sheets accounts once, pick a trigger in one app and an action in the other, then map the fields so data flows automatically between them. [3]
Example: when Databricks's "Watch Job Runs" fires, WEXTL can "Append a Row" in Google Sheets. Databricks has 1 trigger (including Watch Job Runs); Google Sheets has 20 actions (including Append a Row, Append Multiple Rows, and Append Values). Add filters and transforms between steps when you need them. [1]
Yes — the integration works in both directions. Use each app's triggers to start a workflow and the other app's actions to update it. [2]
No. Databricks-to-Google Sheets automations are built visually on the canvas. You can optionally add custom JavaScript with Functions when you need advanced logic. [4]
Yes. Trigger-based automations start the moment Databricks (or Google Sheets) fires a new event — webhook-backed apps run within seconds, and polling-only apps re-check on a schedule you control. [7]
A first automation typically takes 5–10 minutes: connect each app's credential once, drop a trigger + action onto the canvas, map the fields, and turn the workflow on.
You can build your Databricks + Google Sheets automation on a 3-day trial with every feature unlocked. Cancel anytime. For your protection, a small deposit is charged to your card when your trial starts. It counts toward your first payment and is non-refundable. [8]
References
List of sources used to gather information about the Databricks and Google Sheets integration.
- Databricks and Google Sheets integration source code, module specs and credentials implementation.
- Our Databricks and Google Sheets integration documentation, structured input and output parameters, scopes, and authentication methods.
- Official vendor API documentation for Databricks and Google Sheets — used to verify field meanings, authentication flows, and anything our own specs don't fully capture.
- WEXTL® visual workflow builder, anonymized data from our technical support team.
- Databricks integration information
- Google Sheets integration information
- WEXTL® Scheduling
- WEXTL® Pricing and Trial
- WEXTL® Apps Library