
Firebird + PostgreSQL
Firebird is an open-source relational database management system known for its lightweight and efficient design. Postgres, on the other hand, is a highly robust and scalable open-source relational database management system. It supports a wide range of data types and advanced features.
With Erathos, you can easily set up a firebird to postgres integration in just a few minutes. Our platform handles the entire firebird to postgres data movement process to your analytical environment and allows this data to be cross-referenced with other sources in your Data Warehouse. The firebird to postgres pipeline ensures that your data remains synchronized, helping you focus on what truly adds value — extracting valuable 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.
Greater control over pipelines
Transform the way you manage data. Quickly create pipelines by selecting relevant data, setting the schedule, frequency, and type of update without writing a single line of code.
Edge observability
Stop being caught off guard by data update errors. Set up alerts and notifications in your email, Slack, or Discord to closely monitor the status and execution metrics of your 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 focus 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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