Data Snaps
The Data Snaps enable you to integrate applications that span data processing, data streaming, databases, storage systems, and big data.
The following Snap Packs are available on the current site:
- Amazon Athena Snap Pack: Enables querying and analyzing data stored in Amazon S3 using SQL using Amazon Athena.
- OpenSearch Snap Pack: Enhances your data connectivity by seamlessly integrating with OpenSearch database, providing robust search and analytics capabilities. It facilitates efficient data retrieval and analysis ensuring superior performance and scalability for managing large datasets within your workflows.
- Oracle CDC Snap Pack: Enables efficient data replication, synchronization, and integration with other systems by capturing incremental changes rather than processing the entire dataset.
- Pinecone Snap Pack: Empowers you to seamlessly connect and synchronize your data with Pinecone's vector database, enabling quick similarity search and advanced machine learning capabilities. It ensures efficient data handling and superior search performance for large datasets.
- SQL Server CDC Snap Pack: Enables you to identify and capture changes made to data in an SQL Server database. It enables efficient data replication, synchronization, and integration with other systems by capturing incremental changes rather than processing the entire dataset.
- Snowflake Snap Pack: This Snap Pack supports Snowflake
vectors, including schema generation and output compatibility with vector data types.
You can:
- Insert, upsert, update, unload, execute, and delete records in Snowflake.
- Query a specific Snowflake instance and return the requested records or keys.
- Execute multiple queries.
- Enable SCD2 to track the history of changes.
- Kafka Snap Pack: This Snap Pack accesses Apache Kafka
and Confluent Kafka to produce and consume messages. You can:
- Integrate real-time data streams into SnapLogic Pipelines.
- Publish messages to Kafka topics.
- Consume messages from Kafka topics.
- Acknowledge processed messages to maintain delivery guarantees.
- Databricks Snap Pack : This Snap Pack focuses on the Databricks Data Science & Engineering environment which is also referred to as Databricks Lakehouse Platform (DLP) or Databricks.
-
Cassandra Snap Pack
: This Snap Pack works with data
in Apache Cassandra. You can:
- Execute a Cassandra Select.
- Execute a Cassandra statement or query.
-
Google AlloyDB Snap Pack
: This Snap Pack connects to
your AlloyDB database for reading and writing objects. You can:
- Lookup records in the target table and returns a selected set of fields.
- Fetch data from a database.
- Execute SQL statements to delete, update, or insert data into a specified table.
The following table provides links to the Data Snaps on the legacy site.