STEP 1
Connect AWS Lambda and Databricks
Save credentials in WEXTL once. We store them encrypted and reuse the authorization across every workflow [3]. No coding or API skills required.
AWS Lambda and Databricks Integration
Connect AWS Lambda and Databricks to automate developer tools workflows. Trigger events from one app, run actions in the other and use AI to make smart decisions. Integrate apps in 3 simple steps - no code required.
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Learn about AWS Lambda and Databricks
Detailed info you need to know about AWS Lambda and Databricks integrations in WEXTL. Explore which modules apps support and how you connect them.
AWS Lambda
Serverless compute that runs your code without managing servers. [5]
Databricks
Run Databricks jobs, clusters, SQL, files, Unity Catalog, and model serving from a workspace. [6]
How to connect AWS Lambda to Databricks
Set up your AWS Lambda and Databricks integration in 3 simple steps [2] — no coding required. Up to 10 minutes setup.
STEP 2
Build a workflow
Paste selected AWS Lambda and Databricks 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 AWS Lambda and Databricks. Use filters or leverage a JS custom code step in between — everything is on the canvas.
How does the integration between AWS Lambda and Databricks work in WEXTL?
WEXTL exposes actions and triggers for AWS Lambda and Databricks 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.
AWS Lambda triggersDatabricks actions
AWS Lambda modules
- Add Function PermissionGrants another account or service permission to use a function.
- Add Layer Version PermissionLets another account or organization use a layer version.
- Add Tags to ResourceAdds tags to a function, alias, layer, mapping or similar resource.
- Cancel Durable ExecutionStops a running durable execution.
- Create AliasCreates a named pointer to a function version.
- Create Capacity ProviderCreates a capacity provider for Lambda Managed Instances.
- Create Code Signing ConfigCreates a code signing config.
- Create Durable Execution CheckpointSaves progress for a durable execution.
- Create Event Source MappingConnects an event source (queue, stream, topic) to a function.
- Create FunctionCreates a new function.
- Create Function URL ConfigCreates a public HTTPS endpoint for a function.
- Delete AliasDeletes an alias.
- Delete Capacity ProviderDeletes a capacity provider.
- Delete Code Signing ConfigDeletes a code signing config.
- Delete Event Source MappingDeletes an event source mapping.
- Delete FunctionDeletes a function or one version of it.
- Delete Function Code Signing ConfigDetaches the code signing config from a function.
- Delete Function ConcurrencyRemoves the reserved concurrency from a function.
- Delete Function Event Invoke ConfigRemoves the async-invoke settings.
- Delete Function URL ConfigRemoves a function URL.
- Delete Layer VersionDeletes a layer version.
- Delete Provisioned Concurrency ConfigRemoves provisioned concurrency.
- Delete Resource PolicyRemoves the resource-based policy.
- Get Account SettingsReturns the Region's limits and usage.
- Get AliasReturns one alias.
- Get Capacity ProviderReturns one capacity provider.
- Get Code Signing ConfigReturns one code signing config.
- Get Durable ExecutionReturns one durable execution.
- Get Durable Execution HistoryRetrieves the event history of a durable execution.
- Get Durable Execution StateRetrieves the saved state of a durable execution.
- Get Event Source MappingReturns one event source mapping.
- Get FunctionReturns a function's configuration, code location, tags and concurrency.
- Get Function Code Signing ConfigReturns the code signing config attached to a function.
- Get Function ConcurrencyReturns the reserved concurrency.
- Get Function ConfigurationReturns only a function's settings.
- Get Function Event Invoke ConfigReturns the async-invoke settings (retries, max event age, destinations).
- Get Function PolicyReturns a function's resource policy.
- Get Function Recursion ConfigReturns whether recursive loops are allowed for a function.
- Get Function Scaling ConfigReturns the applied and requested scaling settings.
- Get Function URL ConfigReturns a function's URL settings.
- Get Layer VersionReturns one version of a layer, including its download link.
- Get Layer Version By ARNReturns a layer version found by its ARN.
- Get Layer Version PolicyReturns a layer version's resource policy.
- Get Provisioned Concurrency ConfigReturns requested/available/allocated provisioned concurrency and status.
- Get Resource PolicyReturns the resource-based policy of a function or layer version ARN.
- Get Runtime Management ConfigReturns how a function's runtime is updated.
- Invoke FunctionRuns a Lambda function and returns what it sends back.
- List AliasesRetrieves a list of aliases of a function.
- List Capacity ProvidersRetrieves a list of capacity providers.
- List Code Signing ConfigsRetrieves a list of code signing configs.
Databricks modules
- 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.
- Get Job Run OutputReturns output for a job run.
Explore alternative integrations
There are other apps [9] supported by WEXTL that can be paired with AWS Lambda and Databricks integrations. Pick any from the list below if the current combination isn't the one you need.
Frequently asked questions
Common questions about connecting AWS Lambda and Databricks.
Connect your AWS Lambda and Databricks 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 AWS Lambda's "Watch Durable Executions" fires, WEXTL can "Cancel All Runs" in Databricks. AWS Lambda has 1 trigger (including Watch Durable Executions); Databricks has 113 actions (including Cancel All Runs, Cancel Run, and Cancel SQL Statement). 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. AWS Lambda-to-Databricks 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 AWS Lambda (or Databricks) 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 AWS Lambda + Databricks 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 AWS Lambda and Databricks integration.
- AWS Lambda and Databricks integration source code, module specs and credentials implementation.
- Our AWS Lambda and Databricks integration documentation, structured input and output parameters, scopes, and authentication methods.
- Official vendor API documentation for AWS Lambda and Databricks — 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.
- AWS Lambda integration information
- Databricks integration information
- WEXTL® Scheduling
- WEXTL® Pricing and Trial
- WEXTL® Apps Library