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Neo4J to Databricks Data Integration
The leading hybrid-cloud solution for Databricks integration. Automated continuous ETL/ELT data replication from Neo4J to Databricks.
Whether you're managing operational reporting, connecting data for analytics, or ensuring disaster recovery, CData Sync's no-code approach to data integration simplifies the process of putting Neo4J data to work.
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Neo4J:
Neo4j is a highly scalable and efficient graph database that allows users to store, manage, and query complex relationships between data points. It is designed to handle large volumes of interconnected data and offers a flexible and intuitive query language for exploring and analyzing relationships within the database.
Databricks:
Databricks is a unified data analytics platform that allows organizations to easily process, analyze, and visualize large amounts of data. It combines data engineering, data science, and machine learning capabilities in a single platform, making it easier for teams to collaborate and derive insights from their data.
Integrate Neo4J and Databricks with CData Sync
CData Sync provides a straightforward way to continuously pipeline your Neo4J data to any database, data lake, or data warehouse, making it easily available to analytics, reporting, AI, and machine learning.
- Synchronize data with a wide range of traditional and emerging databases including Databricks.
- Replicate Neo4J data to database's and data warehouse systems to facilitate operational reporting, BI, and analytics.
- Offload queries from Neo4J to reduce load and increase performance.
- Connect Neo4J to business analytics for BI and decision support.
- Archive Neo4J data for disaster recovery.
Integrate Neo4J with Databricks
Neo4J Data Integration Features
Simple no-code Neo4J data integration
Ditch the code and complex setups to move more data in less time. Connect Neo4J to any destination with drag-and-drop ease.
Hassle-free data pipelines in minutes
Incremental updates and automatic schema replication eliminate the headaches of Neo4J data integration, ensuring Databricks always has the latest data.
Don't pay for every row
Replicate all the data that matters with predictable, transparent pricing. Unlimited replication between Neo4J and Databricks.
