Replicate your SQL Server database to your Data Warehouse

SQL Server is a relational database management system developed by Microsoft, used to store and manage large volumes of data.

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Create a single source of truth

Connect SQL Server with the leading data warehouses on the market

Connect SQL Server with the leading data warehouses on the market

What is Erathos?

Replicate data from SQL Server to your Data Warehouse incrementally

Erathos is a complete ELT software that extracts data from various sources through instant integrations. With plug & play connectors, you consolidate all your data in a single analytical environment and build a Data Warehouse in minutes.

Why Erathos?

From SQL Server to your Data Warehouse in minutes

From SQL Server to your Data Warehouse in minutes

Plug and play connectors

Connect SQL Server to more than 80 other plug-and-play integrations. Eliminate time-consuming manual processes and consolidate all your data into a single analytics environment, ready to generate actionable insights.

Greater control over pipelines

Create data pipelines from SQL Server quickly: select the relevant data, configure the schedule, frequency, and update type without writing a single line of code. You stay in full control, with complete flexibility.

Edge observability

Monitor your SQL Server pipelines with real-time alerts via email, Slack, or Discord. Stop being caught off guard by sync errors and ensure your data is always up to date and reliable.

No credit card required

No credit card required

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

"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

Trusted by data-driven companies

Simplified data ingestion

Move your data in minutes

Move your data in minutes

1

Select your data source

More than 80 plug-and-play connectors to consolidate data from multiple sources, eliminate time-consuming manual processes, and establish a pipeline.

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

Frequently Asked Questions

Frequently Asked Questions

How does SQL Server replication work for the Data Warehouse?

Erathos performs incremental or full replication from SQL Server to your destination Data Warehouse, including tables, schemas, and relationships. Synchronization is configurable by frequency and schedule, with no code required.

Is SQL Server data synchronized incrementally?

Yes! Integration with SQL Server via Erathos is incremental by default: only new or changed data is synchronized on each run. This ensures efficient pipelines, lower processing costs, and data that is always up to date in your Data Warehouse.

Can I try the SQL Server integration for free?

Yes! You can test the SQL Server integration for free for 14 days. Just connect SQL Server as a new source — you’ll have two weeks to verify whether the connector meets your needs before any charges apply.

Which data warehouses can I send SQL Server data to?

With Erathos, you can send data from SQL Server to the leading data warehouses on the market: BigQuery, Snowflake, Redshift, Databricks, Amazon S3, and PostgreSQL. Just choose the destination and set up the pipeline in minutes, with no code.

Does Erathos integrate SQL Server directly with other systems?

No. Erathos does not perform direct integrations between SQL Server and other systems ("point-to-point"). Our focus is on centralizing SQL Server data in a Data Warehouse, creating a single source of truth so your company can make decisions based on reliable data.

How does SQL Server replication work for the Data Warehouse?

Erathos performs incremental or full replication from SQL Server to your destination Data Warehouse, including tables, schemas, and relationships. Synchronization is configurable by frequency and schedule, with no code required.

Is SQL Server data synchronized incrementally?

Yes! Integration with SQL Server via Erathos is incremental by default: only new or changed data is synchronized on each run. This ensures efficient pipelines, lower processing costs, and data that is always up to date in your Data Warehouse.

Can I try the SQL Server integration for free?

Yes! You can test the SQL Server integration for free for 14 days. Just connect SQL Server as a new source — you’ll have two weeks to verify whether the connector meets your needs before any charges apply.

Which data warehouses can I send SQL Server data to?

With Erathos, you can send data from SQL Server to the leading data warehouses on the market: BigQuery, Snowflake, Redshift, Databricks, Amazon S3, and PostgreSQL. Just choose the destination and set up the pipeline in minutes, with no code.

Does Erathos integrate SQL Server directly with other systems?

No. Erathos does not perform direct integrations between SQL Server and other systems ("point-to-point"). Our focus is on centralizing SQL Server data in a Data Warehouse, creating a single source of truth so your company can make decisions based on reliable data.

Data ingestion with control, observability, and scale