If you need a system that can ingest lots of IT and security data from a variety of sources and then send it to a variety of tools and destinations, Cribl is worth a look. This data engine is designed to process and analyze data at large scale, with a family of products built around a single data processing engine. It can ingest a wide variety of data sources and destinations, so it should fit in with whatever toolchain you already have. Cribl's products include Cribl Copilot for AI-assisted workforce empowerment, Cribl Edge for ingesting data from vendors' edges, and Cribl Lake for turnkey data lake services.
For a cloud-based system, Sumo Logic offers log management, monitoring and SIEM. It uses AI and machine learning to try to get you cloud data into a state where you can take action. With log analytics, infrastructure monitoring and cloud SIEM, Sumo Logic is geared for developers and security teams. Its scalable architecture and support for a variety of regulations, such as PCI and HIPAA, means it's a good option for companies with a lot of data to process and analyze.
Last, take a look at Airbyte, an open-source data integration system that lets you move data efficiently from more than 300 sources to a variety of destinations. It's got features like a Connector Builder for custom connectors, automated schema evolution and strong security. Airbyte offers cloud-hosted and self-managed options, so it can accommodate organizations with different data integration needs.