Question: I'm looking for a solution that can handle large volumes of data and provide real-time analytics for business decision-making.

If you need a system that can ingest a lot of data and provide real-time analytics for business insights, SingleStore is worth a serious look. This real-time data platform is designed to handle petabyte-scale data sets and perform operations in milliseconds, support multiple data models and ingest streaming data at high throughput. Because it can unify transactional and analytical data in a single database engine, it's well suited for intelligent applications. Jupyter notebooks and data integration services are built into its cloud-based version, SingleStore Helios.

Another good option is Databricks, a data intelligence platform that's been augmented with generative AI to marry data, analytics and governance. It supports a broad range of tools and integrations, including ETL, data ingestion and business intelligence, all on a lakehouse foundation. The platform is designed to democratize insights through natural language and to operate at a lower cost, making it a good option for AI and real-time analytics.

For a hybrid approach, Cloudera offers a mature platform for securely ingesting, processing and analyzing data in the cloud and on-premise environments. It can consolidate large data sources into a single trusted system for insights and AI model training, and it's geared for real-time analytics and large-scale data processing. The company's technology is particularly well suited for industries that need large-scale data processing and reliability, such as financial services and health care.

Last, ThoughtSpot offers an AI-infused analytics platform that lets people ask complex data questions in natural language and get answers immediately. It's got embedded analytics, flexible data modeling and governance controls, so it's good for data-driven decision-making in many industries. With its natural language query interface and easy-to-use interface, ThoughtSpot is designed to democratize analytics and make business insights available to anyone.