Neo4j + BigQuery

Neo4j is a graph database management system designed to store and query highly connected data, efficiently representing relationships between entities. BigQuery, on the other hand, is a serverless solution developed by Google that provides robust capabilities for storing and analyzing large-scale data.

With Erathos, you can implement a seamless Neo4j BigQuery integration in just a few minutes. Our platform handles the entire data movement process to your analytical environment and allows this data to be cross-referenced with other sources in your Data Warehouse.

Whether you're working with complex relationship data in Neo4j or running advanced analytics in BigQuery, Erathos bridges the two. With the Neo4j BigQuery connector, your team can move data efficiently and maintain consistency between platforms.

This way, your time is focused on what truly adds value — extracting insights and making better data-driven decisions with Neo4j BigQuery as part of your architecture.

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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

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, configuring timing, frequency, and type of update without a 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 the data pipelines.

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Book a demo

No credit card required

No credit card required

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 in a single analytical environment and build a Data Warehouse in minutes.

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

Com a confiança de grandes empresas

Com a confiança de grandes empresas

Com a confiança de grandes empresas

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 Amazon S3, BigQuery, Databricks, Redshift and PosgreSQL to centrlize your data

FAQ

Doubts? We have the answers

Doubts? We have the answers

What is the purpose of the Neo4j BigQuery integration with Erathos?

The Neo4j BigQuery integration with Erathos allows you to move data from your graph database into BigQuery quickly and efficiently, enabling broader analysis across systems without losing access to your original data in Neo4j.

Does Erathos transform the data during the Neo4j BigQuery integration?

No. Erathos only performs extraction and loading (EL). The Neo4j BigQuery integration ensures that your data moves as-is, maintaining its integrity while being duplicated between the systems.

Can I stop using Neo4j after the integration with BigQuery?

Erathos is not a migration tool. The Neo4j BigQuery integration does not aim to replace one system with another. Instead, it builds a bridge, keeping data synchronized between Neo4j and BigQuery for analysis and visualization.

How fast can I set up the Neo4j BigQuery integration?

The setup is plug-and-play. You can configure the Neo4j BigQuery integration in minutes using Erathos, with no need for complex manual scripts or infrastructure changes.

How does Erathos ensure data reliability in the Neo4j BigQuery integration?

Erathos ensures that your Neo4j BigQuery integration runs securely and reliably by automating the data extraction and loading process. This eliminates manual steps that often introduce errors, helping you maintain consistent and dependable access to your graph data within BigQuery for analysis.

What is the purpose of the Neo4j BigQuery integration with Erathos?

The Neo4j BigQuery integration with Erathos allows you to move data from your graph database into BigQuery quickly and efficiently, enabling broader analysis across systems without losing access to your original data in Neo4j.

Does Erathos transform the data during the Neo4j BigQuery integration?

No. Erathos only performs extraction and loading (EL). The Neo4j BigQuery integration ensures that your data moves as-is, maintaining its integrity while being duplicated between the systems.

Can I stop using Neo4j after the integration with BigQuery?

Erathos is not a migration tool. The Neo4j BigQuery integration does not aim to replace one system with another. Instead, it builds a bridge, keeping data synchronized between Neo4j and BigQuery for analysis and visualization.

How fast can I set up the Neo4j BigQuery integration?

The setup is plug-and-play. You can configure the Neo4j BigQuery integration in minutes using Erathos, with no need for complex manual scripts or infrastructure changes.

How does Erathos ensure data reliability in the Neo4j BigQuery integration?

Erathos ensures that your Neo4j BigQuery integration runs securely and reliably by automating the data extraction and loading process. This eliminates manual steps that often introduce errors, helping you maintain consistent and dependable access to your graph data within BigQuery for analysis.

What is the purpose of the Neo4j BigQuery integration with Erathos?

The Neo4j BigQuery integration with Erathos allows you to move data from your graph database into BigQuery quickly and efficiently, enabling broader analysis across systems without losing access to your original data in Neo4j.

Does Erathos transform the data during the Neo4j BigQuery integration?

No. Erathos only performs extraction and loading (EL). The Neo4j BigQuery integration ensures that your data moves as-is, maintaining its integrity while being duplicated between the systems.

Can I stop using Neo4j after the integration with BigQuery?

Erathos is not a migration tool. The Neo4j BigQuery integration does not aim to replace one system with another. Instead, it builds a bridge, keeping data synchronized between Neo4j and BigQuery for analysis and visualization.

How fast can I set up the Neo4j BigQuery integration?

The setup is plug-and-play. You can configure the Neo4j BigQuery integration in minutes using Erathos, with no need for complex manual scripts or infrastructure changes.

How does Erathos ensure data reliability in the Neo4j BigQuery integration?

Erathos ensures that your Neo4j BigQuery integration runs securely and reliably by automating the data extraction and loading process. This eliminates manual steps that often introduce errors, helping you maintain consistent and dependable access to your graph data within BigQuery for analysis.

Build, orchestrate, and trust your data

Build, orchestrate, and trust your data

Build, orchestrate, and trust your data

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