If you need a platform that can validate and protect your data in real-time, Streamdal could be a great option. It builds privacy controls directly into application code to monitor and prevent real-time unauthorized exposure of Personally Identifiable Information (PII). With composable preprocessors or postprocessors, it validates and protects data to ensure data integrity and trust. The platform can be integrated in a variety of ways, including batch or streaming integration, CLI and GUI access, and flexible deployment options, supporting mainstream programming languages.
Another top contender is SingleStore, a real-time data platform for intelligent applications. It can handle both transactional and analytical data in a single engine, ingest high-throughput streaming data from multiple sources, and deliver millisecond query performance. SingleStore is well-suited for applications that need real-time analytics and SaaS capabilities, with pricing based on usage and a free tier to get you started.
If you're looking for a more holistic approach to data security and governance, check out Securiti. The Securiti Data Command Center offers a single pane of glass to ensure security, privacy, governance, and compliance across hybrid multicloud environments. It has strong features for data discovery, security, sensitive data intelligence, governance, and AI-driven security and compliance checks, making it a good option for companies that need breadth and regulatory compliance.
Last, Nightfall is an AI-native data leak prevention platform that discovers, classifies, and protects sensitive data in SaaS and cloud applications. It uses machine learning for high accuracy and low false positives, and it's a good option for companies that need a data security management system. Nightfall supports major compliance standards and can be installed quickly, so it's a good option for companies that want to reduce data breaches and non-compliance risks.