Onibex Snowflake Sink Connector Benefits

Onibex Snowflake Sink Connector Benefits

The JDBC snowflake connector sends real-time data from Confluent Platform and Cloud for writing to the theme-subscription Snowflake Tables. It is possible to achieve idempotent writings with elevators. Self-creation of tables and self-evolution is supported using the Schema Registry.

Benefits

Differences between the native Snowflake connector in Confluent and the connector developed by Onibex, we identified the following relevant points in terms of architecture, flexibility, and performance:

1. Flexibility in Data Location

Onibex allows data insertion without requiring Snowflake and Confluent Cloud to be in the same region, providing greater infrastructure flexibility.
The native Snowflake connector requires both services to operate in the same region to optimize data transfer.

2. Schema Evolution

Onibex supports schema evolution through dynamic modifications, enabling the execution of ALTER TABLE operations to automatically add new columns.
The native Snowflake connector does not include this functionality automatically.


3. Data Insertion Mode

Onibex uses a column-value-based insertion approach, optimizing data management in Snowflake.
The native Snowflake connector follows a traditional process that may generate higher operational overhead.


4. Performance

In terms of speed, Onibex outperforms the native Snowflake connector by up to 85% in table creation and data insertion, ensuring more efficient processing.
Compatibility with Different Schema Types

5. Compatibility with Different Schema Types

Onibex offers native support for multiple data formats, including Avro, String, JSON, among others, ensuring greater compatibility with various data sources in Confluent Platform/Confluent Cloud.

    • Related Articles

    • Performance Between Snowflake Connector vs Onibex Connector

      Introduction This article aims to compare the performance of two different connectors used to send data to Snowflake: Snowflake’s native connector and a custom connector developed by Onibex. The tests were conducted on both Confluent Cloud and ...

    • Onibex Snowflake Sink Connector for Confluent Platform and Cloud

      The JDBC snowflake connector sends real-time data from Confluent Platform and Cloud for writing to the theme-subscription Snowflake Tables. It is possible to achieve idempotent writings with elevators. Self-creation of tables and self-evolution is ...

    • Onibex Clickhouse Sink Connector

      The Onibex Clickhouse JDBC connector sends real-time data from Kafka to write to Tables based on the topics subscription. It is possible to achieve idempotent writes with upserts. Auto-creation of tables and auto-evolution is supported using the ...

    • Onibex Databricks JDBC Connector for Confluent Cloud

      JDBC Onibex Connector for Databricks The JDBC Onibex connector for Databricks sends real-time data from Kafka to write into live DeltaLake tables. Idempotent writes can be achieved using upserts. Automatic table creation and schema evolution are ...

    • OneConnect Deployment and Configuration

      One Connect Platform: Kubernetes Azure Deployment Manual for Private Network This manual outlines the steps required to deploy the One Connect system on a Kubernetes cluster within a Private Network (meaning the OneConnect Platform will not be ...