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.





El conector JDBC de Snowflake envía datos en tiempo real desde Confluent Platform and Cloud para escribir en las tablas de suscripción de topicos en Snowflake. Es posible lograr escrituras idempotentes con elevadores. La autocreación de tablas y la autoevolución están soportadas mediante el Schema Registry.

Beneficios 

Al evaluar las diferencias clave entre el conector nativo de Snowflake en Confluent y el conector desarrollado por Onibex, identificamos los siguientes puntos relevantes en términos de arquitectura, flexibilidad y rendimiento:

1. Flexibilidad en la Ubicación de los Datos

Onibex permite la inserción de datos sin requerir que Snowflake y Confluent Cloud estén en la misma región, proporcionando mayor flexibilidad en la infraestructura.
El conector nativo de Snowflake requiere que ambos servicios operen en la misma región para optimizar la transferencia de datos.

2. Evolución de Esquema

Onibex soporta la evolución de esquema mediante modificaciones dinámicas, permitiendo la ejecución de operaciones ALTER TABLE al agregar nuevas columnas de forma automática.
El conector nativo de Snowflake no incluye esta funcionalidad de manera automática.

3. Modo de Inserción de Datos

Onibex utiliza un enfoque basado en inserciones columna-valor, optimizando la gestión de datos en Snowflake.
El conector nativo de Snowflake sigue un proceso tradicional que puede generar mayor sobrecarga operativa.

4. Rendimiento

En términos de velocidad, Onibex supera al conector nativo de Snowflake en hasta un 85% en la creación de tablas e inserción de datos, asegurando un procesamiento más eficiente.

5. Compatibilidad con Diferentes Tipos de Esquema

Onibex ofrece soporte nativo para múltiples formatos de datos, incluyendo Avro, String, JSON, entre otros, garantizando mayor compatibilidad con diversas fuentes de datos en Confluent Platform/Confluent Cloud.


    • Related Articles

    • 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 ...
    • 3. One Connect - Connection

      3. CONNECTION The One Connect system provides the capability to extract information from SAP and its transfer it to Kafka. This facilitates the creation of a requisite database for analysis, which serves as the foundation for generating financial ...
    • BTP confirmation

      1. Install cloud connector Step 1 Make sure you download Virtual Java Version 8 (either for Windows or Linux) andBinary Installation Files. 2. Connect the cloud connector to BTP Step 1 Cloud connector Sign in to Cloud Connector.Enter the default ...