Question: Is there a data workspace that integrates with popular data warehouses and lakehouses, and also provides enterprise-grade security controls?

Hex is an AI-augmented collaborative data team workspace with features like data exploration on modular canvases, AI-assisted query generation and interactive reporting. It can connect to a variety of data warehouses and lakehouses, and it's got enterprise-level security controls like SOC2 and HIPAA compliance. Hex has a variety of pricing plans, including a free trial, so it's adaptable to teams large and small with varying needs.

Another strong contender is Databricks, which offers a unified platform for data, analytics and governance built on lakehouse technology. It supports a wide range of tools and integrations, and it's got AI-infused data intelligence. That makes it a strong foundation for building and deploying AI applications. Databricks has a free trial, and it's designed to keep data private and under your control.

Deepnote is a collaborative data workspace that lets you explore, analyze and share data with Python, SQL and no-code tools. It can connect to data warehouses, databases and lakehouses like Snowflake and BigQuery, and it's got AI-powered code completion, interactive visualizations and real-time commenting. Deepnote has encryption, role-based access control and compliance with standards like HIPAA and SOC 2, so it's good for teams that have to handle sensitive data.

If you need a hybrid data platform, Cloudera has a secure option for ingesting, processing and analyzing data in the cloud and on-premises. Its platform is geared for real-time insights, automated data pipelines and big data analytics, and it's used by financial services and health care customers. Cloudera's technology is based on Apache Iceberg and is designed to ensure data reliability and flexibility, so you can easily deploy and manage data lakehouses in multiple clouds.