
Firebird + BigQuery
Firebird is an open-source relational database management system known for its lightweight and efficient design. BigQuery, on the other hand, is a serverless Big Data solution developed by Google, providing robust capabilities for large-scale data storage and analysis.
With Erathos, you can set up a Firebird to BigQuery integration in just a few minutes, without the need for complex configurations. Our platform automates the entire Firebird to BigQuery data movement process, ensuring speed, security, and consistency across all stages. This allows your team to cross-reference Firebird to BigQuery data with other sources in your Data Warehouse — so you can focus on what truly adds value: extracting insights and making more data-driven decisions.
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Why Erathos?
Plug and play connectors
More than 50 plug and play connectors to consolidate information from multiple sources, eliminating time-consuming manual processes and establishing a clear path to actionable and reliable insights — including integrations like Firebird to BigQuery.
Greater control over pipelines
Transform the way you manage data. Quickly create pipelines by selecting relevant data, configuring timing, frequency, and the type of update without a line of code.
Edge Observability
Stop being caught off guard by data update errors. Set up alerts and notifications to your email, Slack, or Discord to closely monitor the status and execution metrics of the data pipelines.
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 centralize all your data in a single analytical environment and build a Data Warehouse in minutes.
Our customers
Simplified data ingestion
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 Amazon S3, BigQuery, Databricks, Redshift and PosgreSQL to centrlize your data
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