No-code pipeline · Google Cloud Storage → SQL Server

Send data from Google Cloud Storage to SQL Server

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From Google Cloud Storage to SQL Server: managed, scheduled, no code.

Creating a pipeline that sends data from Google Cloud Storage to SQL Server databases takes only a few minutes with Kondado. And the whole integration from Google Cloud Storage to SQL Server is managed and executed by our platform. With Kondado, you can focus on extracting value from Google Cloud Storage data and combining it with other data in your SQL Server database

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Send Google Cloud Storage Data to SQL Server

Kondado provides a direct integration that automatically replicates your files and objects from Google Cloud Storage to SQL Server on a configurable schedule. You can set updates to run every 5 minutes, hourly, or daily depending on your business needs, ensuring your database always contains the latest information without manual imports or complex ETL processes.

Kondado automatically replicates Google Cloud Storage data to SQL Server, extracting CSV files and loading them into structured database tables on a user-defined schedule ranging from 5 minutes to daily intervals, enabling seamless data warehouse consolidation without coding requirements.

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Available Data from Google Cloud Storage to SQL Server

The CSV pipeline captures every file stored in your Google Cloud Storage buckets, extracting comprehensive metadata through fields like __file_basename, __file_path, and __kdd_insert_time alongside the actual content values. Once replicated to SQL Server, you can query file modification histories, track asset usage patterns across departments, and combine storage metadata with operational data from other sources to build comprehensive analytics workflows. This enables automated inventory management, compliance auditing, and seamless preparation for visualization in Power BI or Looker Studio when connected to your SQL Server instance.

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Replicated to SQL Server

Google Cloud Storage data available for SQL Server

Tables Kondado writes into your SQL Server, on a schedule you control.

available pipeline

extractable fields

SQL Server

Destination

Available integrations

CSV

Table includes information about CSV files, featuring fields such as __file_basename, __file_path, and __kdd_insert_time, enabling tracking of the modification date and value of each file.

See all available data → Send Google Cloud Storage to SQL Server →

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How to send Google Cloud Storage data to SQL Server

Sync data automatically — no code, no manual exports.

Connect Google Cloud Storage

Authenticate your Google Cloud Storage account in Kondado by providing the necessary bucket access credentials and permissions. Select the specific buckets containing your CSV files that you want to replicate to SQL Server.

Configure SQL Server Destination

Enter your SQL Server connection details including server address, database name, and authentication credentials. Define the target database where your Google Cloud Storage file metadata and CSV contents will be loaded and stored.

Select Data and Schedule

Choose the CSV pipeline from the available options and specify which files or patterns to include in the replication. Set your preferred update frequency, ranging from 5-minute intervals to daily schedules, to keep your SQL Server database synchronized with the latest Google Cloud Storage data.

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Send data from Google Cloud Storage to other destinations

Google Cloud Storage > Looker Studio

Google Cloud Storage > Power BI

Other visualizations

Google Cloud Storage > Amazon S3

Google Cloud Storage > BigQuery

Google Cloud Storage > Excel

Google Cloud Storage > Google Sheets

Google Cloud Storage > MySQL

Google Cloud Storage > PostgreSQL

Google Cloud Storage > Redshift

Google Cloud Storage > SQL Server

Choose a tool to visualize your Google Cloud Storage data

If the software you need is not listed, drop us a messagem. You can use almost every tool

Google Cloud Storage > Airtable

Google Cloud Storage > Alteryx

Google Cloud Storage > Amazon Quicksight

Google Cloud Storage > BIMachine

Google Cloud Storage > Cortex

Google Cloud Storage > Data Studio

Google Cloud Storage > Geckoboard

Google Cloud Storage > Grafana

Google Cloud Storage > IBM Cognos Analytics

Google Cloud Storage > Klipfolio

Google Cloud Storage > Looker Studio

Google Cloud Storage > Looker

Google Cloud Storage > Looqbox

Google Cloud Storage > Metabase

Google Cloud Storage > Microstrategy

Google Cloud Storage > Pentaho

Google Cloud Storage > Power BI

Google Cloud Storage > Qlik Cloud Analytics

Google Cloud Storage > Qlik Sense

Google Cloud Storage > Qlik

Google Cloud Storage > QlikView

Google Cloud Storage > Redash

Google Cloud Storage > Superset

Google Cloud Storage > Tableau

Google Cloud Storage > BI TOTVS

Google Cloud Storage > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending Google Cloud Storage data to SQL Server automatically

How does Kondado replicate Google Cloud Storage files to SQL Server? ▼

Kondado connects directly to your Google Cloud Storage buckets and automatically extracts CSV files along with their metadata. The platform parses file contents and system fields like __file_basename and __file_path, then loads this structured information into your SQL Server tables on your chosen schedule. This eliminates manual file downloads and import scripts while maintaining data consistency.

What specific data fields are available from Google Cloud Storage CSV files? ▼

The CSV pipeline provides eight fields including __file_basename for the filename, __file_path for the storage location, and __kdd_insert_time for tracking when the record was processed. You also receive the actual CSV content values and modification timestamps, enabling you to monitor file changes and maintain historical records of your storage assets directly within SQL Server.

How often can I schedule updates from Google Cloud Storage to SQL Server? ▼

You can configure replication schedules ranging from every 5 minutes for near-real-time analytics to hourly or daily batches for reporting workloads. This flexibility allows you to balance data freshness with system performance, ensuring your SQL Server database reflects the latest file changes without overwhelming your infrastructure with excessive update requests.

What data format does Google Cloud Storage data take in SQL Server? ▼

File metadata and CSV contents are transformed into structured relational tables within SQL Server, with each field mapped to appropriate data types. The __file_path and __file_basename columns store string values while timestamps handle temporal data, creating a queryable schema that integrates seamlessly with existing SQL Server stored procedures and business intelligence tools.

Can I combine Google Cloud Storage data with other sources in SQL Server? ▼

Yes, SQL Server serves as a central repository where you can join Google Cloud Storage file metadata with data from other Kondado sources replicating to the same database. This consolidation enables cross-platform analytics, allowing you to correlate storage asset usage with transactional records or customer data stored in your SQL Server environment, which can then be visualized in Power BI or Looker Studio.

Do I need to manually extract CSV files before replicating to SQL Server? ▼

No manual extraction is required, as Kondado automatically detects and processes CSV files directly from your Google Cloud Storage buckets. The platform handles file parsing, metadata extraction, and schema mapping automatically, delivering ready-to-query tables to SQL Server without intermediate steps or manual file handling procedures.

What types of files can I replicate from Google Cloud Storage to SQL Server? ▼

Currently, Kondado supports CSV file replication from Google Cloud Storage, extracting both the tabular data within the files and comprehensive metadata about the files themselves. This pipeline captures information about file locations, names, and modification histories alongside the actual content values contained in your CSV documents.

Try out all the features for free for 14 days

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