Question: I'm looking for a solution that can capture and transform data in real-time, with low latency and flexible materialization options.

If you need a system that can ingest and transform data in real-time with low latency and flexible materialization options, Estuary is a good option. It's a real-time data integration platform that includes change data capture (CDC), ETL, and streaming pipelines. With more than 100 no-code connectors for ingesting data, stream-store-replay for storing and replaying data, and materialization for loading data into destinations, Estuary delivers sub-100ms end-to-end latency and flexible materializations. The platform also has an easy-to-use interface and automated pipelines with schema evolution, making it a good fit for agile DataOps.

Another top contender is Airbyte, an open-source data integration platform that can be used to move data efficiently from more than 300 structured and unstructured data sources to many destinations. With features like a Connector Builder for custom connectors, Automated Schema Evolution for efficient change data capture, and flexible deployment options including cloud-hosted and self-managed solutions, Airbyte can be used for data integration projects large and small. The platform also has an easy-to-use UI, PyAirbyte library, and Terraform provider, and it's got robust security features.

For real-time data processing with high-throughput streaming data ingestion and millisecond query performance, check out SingleStore. The platform combines transactional and analytical data in a single engine, supporting multiple data models like JSON and time-series. It has a universal store combining columnstore and rowstore databases, read replicas for independent compute scaling, and flexible scaling with separate storage and compute. SingleStore is used in applications like generative AI and real-time analytics, with pricing based on usage and a free tier available.

Last, Fivetran offers an automated data integration platform that pulls data from more than 500 sources, including SaaS apps, databases, ERPs, and more. With deployment options including fully-managed SaaS, hybrid and self-hosted solutions, Fivetran offers secure data integration across different environments. The platform supports real-time analytics and compliance with major standards, making it easier to manage data operations and make decisions for companies with complex data integration needs.