Ratings
4.9
Peer Insights™
100%
Customer Recommendation
Total
100+
active users
Avg
2 min
to connect
Custom connections
Available
via HTTP connector
Build powerful workflows, fast
Triggers
When this happens…
Google BigQuery
- New job completedNew job completed in BigQuery
- New rowNew row in a table in BigQuery
- New rows BatchNew batch of rows in a table in BigQuery
- Scheduled query BatchNew scheduled query using custom SQL in BigQuery
Any other trigger you can think up
Actions
Do this…
Amazon Lex
- Get BotRetrieve Bot information from Amazon Lex
- Get Bot AliasesRetrieve Bot Aliases information from Amazon Lex
- Get IntentRetrieve Intent information from Amazon Lex
- Get Slot typeRetrieve Slot type information from Amazon Lex
- Get VersionRetrieve object versions in Amazon lex
- Post textSend User input to Amazon Lex at runtime
- Upsert BotCreates a Bot or replaces an existing one in Amazon Lex
- Upsert Bot AliasCreates a Bot Alias or replaces an existing one in Amazon Lex
- Upsert IntentCreates an Intent or replaces an existing one in Amazon Lex
- Upsert Slot typeCreates a custom Slot type or replaces an existing one in Amazon Lex
Any other action you can think up
Google BigQuery
- Custom actionCustom action in Google BigQuery (Custom)
- Get batch of rows by Job ID BatchGet batch of rows from query result in BigQuery
- Insert rowInsert a row in table in BigQuery
- Insert rows BatchInsert rows in table in BigQuery
- Load data into BigQueryLoad data into table on BigQuery
- Load data from Google Cloud Storage into BigQueryLoad data from Google Cloud Storage into table on BigQuery
- Run custom SQL in BigQueryRun custom SQL in BigQuery
- Select rows (Old) BatchSelect rows asynchronously in a table in BigQuery
- Select rows BatchSelect rows in a table in BigQuery
- Select rows using custom SQL (Old) BatchSelect rows asynchronously using custom SQL in BigQuery
- Select rows using custom SQL BatchSelect rows using custom SQL in BigQuery
- Select rows using custom SQL and insert into table BatchSelect rows using custom SQL and insert into table in BigQuery
Any other action you can think up
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