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Google BigQuery

Turn your  data in BigQuery into actionable API Endpoints

Write SQL queries on your data held in Google BigQuery and directly expose the results, or queries on those results, as API endpoints. Easy to maintain. Always up-to-date. Fast as can be.

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Easy integration

Connect to your BigQuery database with Google Service Account credentials, the GCP project id and the name of a GCS bucket, to start building APIs right away. 

Data Sources Google BigQuery

SQL based

Use an SQL query to get the data you need from BigQuery and then run SQL queries on that data in Tinybird.

SQL based

TTLs and Roll-ups

All your Data APIs in one place, automatically documented and scaled. Consistent results for your Data/Dev Teams.

TTLs and Roll-ups

Secure

Use Auth tokens to control access to API endpoints. Implement access policies as you need. Support for row-level security.

Secure

Build in minutes, not weeks

Ingest, query and build APIs for your data at scale in a matter of minutes. Forget about ETLs, performance and complex security rules.

Ingest

Query and transform

Publish API endpoint

$ tb \
   --gcp-project-id $PROJECT_ID \
   --gcs-bucket $BUCKET_NAME \
   --google-application-credentials $GOOGLE_APPLICATION_CREDENTIALS \
   datasource append $DESTINATION_DATA_SOURCE \
   --connector bigquery \
   --sql "select * from  $PROJECT_DATASET_TABLE"
** 🐔 starting export process from bigquery
** 🥚 starting import process
** 🐥 done
** Total rows in taxi: 232341
** Data appended to data source 'taxi' successfully!
** Data pushed to taxi
NODE avg_triptime_endpoint
SQL >
  SELECT
    toDayOfMonth(pickup_datetime) as day,
    avg (dateDiff('minute', pickup_datetime, dropoff_datetime)) as avg_trip_time_minutes
  FROM tripdata
    {% if defined(start_date) and defined(end_date) %}
WHERE pickup_dt BETWEEN {{Date(start_date)}} AND {{Date(end_date)}}
    {% end %}
  GROUP BY day

‍$ tb push endpoints/avg_triptime.pipe
** Processing endpoints/avg_triptime.pipe
** Building dependencies
** Running avg_triptime
** => Test endpoint at https://api.tinybird.co/v0/pipes/avg_triptime.json
** 'avg_triptime' created
** Not pushing fixtures

‍

1

Ingest CSV files fast and easily

Automate ingestion of data from your Google BigQuery database.

2

Create your Pipes

Filter, clean or enrich your data using Pipes, a new way of chaining SQL queries designed to ease development and maintenance.

3

Publish your API endpoints

Share access securely to your data in a click and get full OpenAPI and Postman documentation for your APIs.

We accelerate your data, no matter where it is.

Connect data from Relational Databases, Data Warehouses and Data Streams.

Amazon Redshift

Amazon S3

Google BigQuery

Apache Kafka

PostgreSQL

MySQL

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Amazon Redshift

Amazon Redshift

Amazon S3

Amazon S3

Google BigQuery

Google BigQuery

Apache Kafka

Apache Kafka

Postgre SQL

PostgreSQL

MYSQL

MySQL

Snowflake

Snowflake

Snowflake

GCS