Question: I'm looking for a database solution that can handle massive amounts of complex data and scale horizontally.

For dealing with enormous amounts of complex data and scaling horizontally, SingleStore is a powerful option. The real-time data platform can handle petabyte-scale data sets with millisecond query performance. It can handle both transactional and analytical data in a single database engine, has high-throughput streaming data ingestion, and supports multiple data models like JSON, time-series and geospatial. SingleStore offers a universal store, read replicas for scaling, and flexible storage and compute options. Pricing begins at $0.90/hr with a free tier, so it's a good option for those who want to scale affordably.

Another good option is Cloudera, a hybrid data platform that securely ingests, processes and analyzes data in the cloud and on-premises environments. Cloudera can handle enormous amounts of data from many sources, giving you a single trusted source of truth for insights and AI model training. It comes with a broad range of data services for real-time insights, automated pipelines and scalable application deployment. The platform is built on Apache Iceberg for data reliability and flexibility across multiple clouds, and it's a good fit for data-intensive industries like financial services and healthcare.

For NoSQL needs, Couchbase is a cloud database platform with high-performance memory-first architecture and support for multiple data access patterns. It combines key-value, JSON, SQL, text and vector search, graph and eventing. Couchbase's distributed database is designed for modern applications, with AI-assisted coding and enterprise-grade security. It can be easily integrated with leading public cloud providers, making it a good option for improving application performance and reducing operational costs.

Last, you should look at Neo4j, a graph data platform for connecting and analyzing complex data structures. It can be used for data science, machine learning and real-time insights with features like vector search and graph-native scale. Neo4j is good for developers and data scientists who need to work with knowledge graphs and intelligent applications. It can be deployed in a variety of ways, including self-hosted, cloud-managed and fully managed services, so it's a high-performance option for managing large data sets at scale.