Big Query

BigQuery is a serverless Big Data solution developed by Google, offering robust data storage and large-scale analysis capabilities.

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What is Erathos?

Gather data from different sources in one place

Erathos is a complete ELT software that extracts data from various sources through instant integrations. With plug & play connectors, you consolidate all your data into a single analytical environment and build a Data Warehouse in minutes. Erathos also enables seamless data movement to BigQuery, allowing you to efficiently store, process, and analyze large datasets with ease.

Why Erathos?

Data in your data warehouse in minutes

Data in your data warehouse in minutes

Data in your data warehouse in minutes

Plug and play connectors

Erathos simplifies data integration by offering plug-and-play connectors that allow you to move data efficiently to BigQuery. With automated data extraction and transformation, you can structure your datasets in a way that aligns with BigQuery data types, ensuring consistency and accuracy in your analytical environment.

Greater control over pipelines

With Erathos, you gain complete control over your data workflows. Easily schedule data extractions, transformations, and loads, ensuring your BigQuery environment stays updated without manual intervention. Erathos supports various BigQuery data types, allowing you to customize your pipeline to meet your business needs without complex configurations.

End-to-end observability

Stop worrying about data update failures. Erathos provides real-time monitoring and alerting, helping you track the status of your pipelines and detect any inconsistencies before they impact your BigQuery environment. With native support for BigQuery data types, you ensure that all data is correctly formatted and processed.

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Our customers

Writing data-driven stories

Writing data-driven stories

"Erathos has revolutionized the way WePayments approaches data management. With its ability to integrate data from multiple SaaS into a single data warehouse, our technical team can now focus more effectively on the company's core business. With Erathos, we’ve been able to implement dashboards that provide insights across all areas of the company. This has not only enriched our organizational culture but also significantly improved our decision-making process."

Matheus Gobato Nunes

CTO & co-founder @WePayments

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"Erathos has revolutionized the way WePayments approaches data management. With its ability to integrate data from multiple SaaS into a single data warehouse, our technical team can now focus more effectively on the company's core business. With Erathos, we’ve been able to implement dashboards that provide insights across all areas of the company. This has not only enriched our organizational culture but also significantly improved our decision-making process."

Matheus Gobato Nunes

CTO & co-founder @WePayments

Read story

"Erathos has revolutionized the way WePayments approaches data management. With its ability to integrate data from multiple SaaS into a single data warehouse, our technical team can now focus more effectively on the company's core business. With Erathos, we’ve been able to implement dashboards that provide insights across all areas of the company. This has not only enriched our organizational culture but also significantly improved our decision-making process."

Matheus Gobato Nunes

CTO & co-founder @WePayments

Read story

Trusted by data-driven companies

Trusted by data-driven companies

Trusted by data-driven companies

Simplified data ingestion

Move your data in minutes

Move your data in minutes

Move your data in minutes

1

Select your data source

Choose your data source between over 50 plug'n'play connectors. You can test each connector for 14 days.

2

Setup your pipeline

Manage your pipeline seemlessly. Select a sync hour, frequency and type at a table/endpoint level.

3

Select your data warehouse

Choose between BigQuery, Databricks, Redshift and PosgreSQL to centrlize your data

FAQ

Doubts? We have the answers

Doubts? We have the answers

What is BigQuery?

BigQuery is a fully managed, serverless data warehouse by Google Cloud, designed for fast and scalable analytics. It allows businesses to process and analyze massive datasets using SQL queries. With Erathos, integrating with BigQuery becomes effortless, enabling businesses to extract, transform, and load data seamlessly while ensuring compatibility with different BigQuery data types.

How does Erathos simplify data integration with BigQuery?

Erathos provides an intuitive, no-code solution for integrating with BigQuery. Using plug-and-play connectors, you can extract data from multiple sources and load it directly into BigQuery, eliminating manual processes. The platform automatically maps BigQuery data types, ensuring data consistency and reducing errors in your analytical workflows.

Can Erathos handle different BigQuery data types?

Yes! Erathos ensures seamless data transformation by automatically adapting data to the required BigQuery data types. Whether you're working with integers, strings, timestamps, or nested structures, Erathos simplifies the process, reducing the risk of format mismatches and ensuring accurate data analysis in BigQuery.

How does Erathos ensure data reliability in BigQuery?

Erathos provides advanced data monitoring and validation, ensuring that all data loaded into BigQuery is accurate and well-structured. With scheduled updates and error tracking, you can maintain a clean dataset and avoid inconsistencies in different BigQuery data types. Additionally, real-time alerts help detect and resolve issues before they impact decision-making.

Is Erathos suitable for businesses of all sizes using BigQuery?

Absolutely! Whether you're a startup or a large enterprise, Erathos scales with your data needs. By streamlining BigQuery integration and automating ETL processes, it allows companies of any size to leverage the power of BigQuery data types efficiently. The flexible architecture ensures that as your data grows, Erathos adapts to your evolving analytical requirements.

What is BigQuery?

BigQuery is a fully managed, serverless data warehouse by Google Cloud, designed for fast and scalable analytics. It allows businesses to process and analyze massive datasets using SQL queries. With Erathos, integrating with BigQuery becomes effortless, enabling businesses to extract, transform, and load data seamlessly while ensuring compatibility with different BigQuery data types.

How does Erathos simplify data integration with BigQuery?

Erathos provides an intuitive, no-code solution for integrating with BigQuery. Using plug-and-play connectors, you can extract data from multiple sources and load it directly into BigQuery, eliminating manual processes. The platform automatically maps BigQuery data types, ensuring data consistency and reducing errors in your analytical workflows.

Can Erathos handle different BigQuery data types?

Yes! Erathos ensures seamless data transformation by automatically adapting data to the required BigQuery data types. Whether you're working with integers, strings, timestamps, or nested structures, Erathos simplifies the process, reducing the risk of format mismatches and ensuring accurate data analysis in BigQuery.

How does Erathos ensure data reliability in BigQuery?

Erathos provides advanced data monitoring and validation, ensuring that all data loaded into BigQuery is accurate and well-structured. With scheduled updates and error tracking, you can maintain a clean dataset and avoid inconsistencies in different BigQuery data types. Additionally, real-time alerts help detect and resolve issues before they impact decision-making.

Is Erathos suitable for businesses of all sizes using BigQuery?

Absolutely! Whether you're a startup or a large enterprise, Erathos scales with your data needs. By streamlining BigQuery integration and automating ETL processes, it allows companies of any size to leverage the power of BigQuery data types efficiently. The flexible architecture ensures that as your data grows, Erathos adapts to your evolving analytical requirements.

What is BigQuery?

BigQuery is a fully managed, serverless data warehouse by Google Cloud, designed for fast and scalable analytics. It allows businesses to process and analyze massive datasets using SQL queries. With Erathos, integrating with BigQuery becomes effortless, enabling businesses to extract, transform, and load data seamlessly while ensuring compatibility with different BigQuery data types.

How does Erathos simplify data integration with BigQuery?

Erathos provides an intuitive, no-code solution for integrating with BigQuery. Using plug-and-play connectors, you can extract data from multiple sources and load it directly into BigQuery, eliminating manual processes. The platform automatically maps BigQuery data types, ensuring data consistency and reducing errors in your analytical workflows.

Can Erathos handle different BigQuery data types?

Yes! Erathos ensures seamless data transformation by automatically adapting data to the required BigQuery data types. Whether you're working with integers, strings, timestamps, or nested structures, Erathos simplifies the process, reducing the risk of format mismatches and ensuring accurate data analysis in BigQuery.

How does Erathos ensure data reliability in BigQuery?

Erathos provides advanced data monitoring and validation, ensuring that all data loaded into BigQuery is accurate and well-structured. With scheduled updates and error tracking, you can maintain a clean dataset and avoid inconsistencies in different BigQuery data types. Additionally, real-time alerts help detect and resolve issues before they impact decision-making.

Is Erathos suitable for businesses of all sizes using BigQuery?

Absolutely! Whether you're a startup or a large enterprise, Erathos scales with your data needs. By streamlining BigQuery integration and automating ETL processes, it allows companies of any size to leverage the power of BigQuery data types efficiently. The flexible architecture ensures that as your data grows, Erathos adapts to your evolving analytical requirements.

Build, orchestrate, and trust your data

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