Question: I'm looking for a way to stream data from sources like Kafka and Segment into a single platform for analysis.

If you want to stream data from sources like Kafka and Segment into a single place for analysis, SingleStore is worth a look. This real-time data platform can ingest high-throughput streaming data from many sources and unify transactional and analytical data in a single engine. With millisecond query performance and support for multiple data models, SingleStore is geared for smart applications, offering a universal store that combines the performance of columnstore and rowstore databases.

Another powerful option is Estuary, a real-time data integration platform that specializes in change data capture (CDC), ETL and streaming pipelines. Estuary has sub-100ms end-to-end latency and more than 100 no-code connectors for capturing data from sources. Its flexible materializations and automated pipelines make it a good fit for DataOps, offering a reliable and efficient way to integrate real-time data.

If you prefer a more flexible approach, check out Airbyte, an open-source data integration platform. It can move data from more than 300 sources to many destinations, with features like automated schema evolution and security that meets major regulatory requirements. Airbyte can be deployed in many ways and has an easy-to-use interface, making it good for both large-scale and small-scale data integration needs.

Last, Peaka offers a data integration platform that makes it easier to connect different data sources, including relational and NoSQL databases, SaaS applications and APIs. It has streaming ingestion, immediate replication with CDC, and self-service integration with a range of connectors. Peaka is designed to cut operational and maintenance costs while making data more accessible and useful for decision making.