Amazon Athena
Configure an Amazon Athena connection in PlaidCloud to run serverless queries against data stored in Amazon S3 buckets.
PlaidCloud enables connection directly to databases, data lakes, query engines, and lakehouses. Connections can also utilize a PlaidLink agent if services are behind a firewall.
Since the terms of database, lakehouse, query engine, and potentially others are used to refer to data that can be queried using a connection, we generally treat all of these as "Databases" despite a wide variety of underlying technology that performs the underlying query.
Configure an Amazon Athena connection in PlaidCloud to run serverless queries against data stored in Amazon S3 buckets.
Set up an Amazon Redshift database connection in PlaidCloud to query, import, and export data with your Redshift warehouse.
Configure an Apache Doris database connection in PlaidCloud to run real-time analytical queries on large-scale data sets.
Set up an Apache Hive data lake connection in PlaidCloud to query and integrate large-scale data stored in Hadoop ecosystems.
Set up an Apache Spark database connection in PlaidCloud to run distributed queries and integrate big data into workflows.
Configure an Azure Databricks connection in PlaidCloud to integrate Spark-based analytics and lakehouse data into workflows.
Set up a Databend database connection in PlaidCloud to run cloud-native analytical queries with cost-effective data storage.
Configure an Exasol database connection in PlaidCloud to run high-performance analytical queries and integrate your data.
Set up a Greenplum database connection in PlaidCloud to query, import, and export data with your Greenplum data warehouse.
Configure an IBM DB2 database connection in PlaidCloud to query, import, and export data with your DB2 database instances.
Set up an IBM Informix database connection in PlaidCloud to query, import, and export data with your Informix instances.
Configure a Microsoft Fabric connection in PlaidCloud to integrate analytics, data warehousing, and lakehouse capabilities.
Configure a Microsoft SQL Server connection in PlaidCloud to query, import, and export data with your SQL Server databases.
Configure a MySQL database connection in PlaidCloud to query, import, and export data with your MySQL database instances.
Set up an ODBC database connection in PlaidCloud to connect to any database system that provides an ODBC driver interface.
Set up an Oracle database connection in PlaidCloud to query, import, and export data with your Oracle database instances.
Configure the PlaidCloud Lakehouse database connection for high-performance querying and analytics on your lakehouse data.
Configure a PostgreSQL database connection in PlaidCloud to query, import, and export data with your Postgres instances.
Set up a Presto distributed query engine connection in PlaidCloud to run federated queries across multiple data sources.
Set up an SAP HANA database connection in PlaidCloud to query, import, and export data with your HANA in-memory database.
Set up a Snowflake database connection in PlaidCloud to query, import, and export data with your Snowflake data warehouse.
Configure a StarRocks database connection in PlaidCloud to run high-performance analytical queries on large-scale data sets.
Set up a Trino distributed query engine connection in PlaidCloud to run federated queries across multiple data sources.