Question: Can you recommend a solution that integrates with my existing data stack and allows for fast querying of data stored locally or in object storage systems?

If you're looking for a solution that fits into your existing data stack and lets you query data quickly from a local data store or object storage system, SingleStore is a strong contender. It offers real-time data query and supports multiple data models, including JSON, time-series and geospatial data. With the ability to handle transactional and analytical data in one engine and submillisecond query performance, it's geared for smart applications that require high throughput and scalable data management.

Another contender is MotherDuck, a cloud-based data warehouse that builds on DuckDB, an in-process analytics database. MotherDuck lets you take advantage of cloud-scale processing and hybrid query execution, which makes it a good choice for very interactive data apps. It supports several object storage systems, including AWS S3, and offers pay-as-you-go pricing with a free tier.

If you're focusing on object storage, MinIO is an open-source, high-performance option for AI and ML workloads. It offers multi-site replication, encryption and identity and access management. MinIO is compatible with Amazon S3 and can be easily integrated with many cloud and on-premises infrastructure systems, making it a good choice for big data lakes and databases.

Cloudera offers a hybrid data platform that lets you ingest, process and analyze data securely across the cloud and on-premise environments. It's built on Apache Iceberg and offers real-time insights, automated data pipelines and large-scale data analytics. Cloudera's platform is flexible and can be used in a variety of industries and use cases, including AI model training and data lakehouse management.