4.5 out of 5 stars
(92 Ratings)
HiveMQ provides the most trusted IoT data streaming and Industrial AI platform, built on MQTT, to power a reliable, scalable, and AI-ready data backbone.
What HiveMQ is known for:
1. MQTT-native: Built around the MQTT standard, purpose-designed for event-driven, real-time communication
2. Enterprise-grade reliability: Handles millions of concurrent connections with high availability and fault tolerance
3. Industrial-ready: Widely used in IIoT, manufacturing, automotive, energy, smart infrastructure, and data centers
4. Scalable & secure: Supports global deployments with strong security, governance, and observability
5. UNS & IT/OT convergence enabler: Commonly used as the backbone for Unified Namespace architectures and seamlessly connects OT devices with IT systems for full visibility and interoperability.
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4.6 out of 5 stars
(296 Ratings)
Astra's Pentest offers a thorough approach to penetration testing, combining an advanced vulnerability scanner with detailed manual testing services.
This automated scanner executes over 10,000 security assessments, addressing all CVEs highlighted in the OWASP top 10 and SANS 25, while also fulfilling the necessary evaluations for ISO 27001 and HIPAA compliance.
Users benefit from an interactive pentest dashboard that facilitates vulnerability analysis visualization, allows for the assignment of vulnerabilities to team members, and encourages collaboration with security experts.
Additionally, for users who prefer not to navigate back to the dashboard repeatedly, Astra provides integrations with CI/CD platforms and Jira, streamlining the process of vulnerability management and assignment.
This seamless integration enables teams to efficiently address security concerns without disrupting their workflow.
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StreamNative
StreamNative revolutionizes the streaming infrastructure landscape by merging Kafka, MQ, and multiple other protocols into a unified platform, providing exceptional flexibility and efficiency that aligns with current data processing needs. This comprehensive solution addresses the diverse requirements of streaming and messaging found within microservices architectures. By offering an integrated and intelligent strategy for both messaging and streaming, StreamNative empowers organizations with the capabilities to tackle the complexities and scalability challenges posed by today’s intricate data ecosystems. Additionally, the unique architecture of Apache Pulsar distinguishes between the message serving and storage components, resulting in a resilient cloud-native data-streaming platform. This design is both scalable and elastic, permitting rapid adaptations to changes in event traffic and shifting business demands, while also scaling to manage millions of topics, thereby ensuring that computation and storage functions remain decoupled for enhanced performance. Ultimately, this pioneering structure positions StreamNative at the forefront of meeting the diverse needs of modern data streaming, while also paving the way for future advancements in the field. Such adaptability and innovation are crucial for organizations aiming to thrive in an era where data management is more critical than ever.
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Striim
Data integration for hybrid cloud environments ensures efficient and dependable synchronization between your private and public cloud infrastructures. This process occurs in real-time and employs change data capture along with streaming capabilities. Striim, created by a seasoned team from GoldenGate Software, boasts extensive expertise in managing essential enterprise tasks. It can be deployed as a distributed platform within your infrastructure or hosted entirely in the cloud. The scalability of Striim can be easily modified to meet your team's requirements. It adheres to stringent security standards, including HIPAA and GDPR compliance, ensuring data protection. Designed from its inception to cater to contemporary enterprise demands, Striim effectively handles workloads whether they reside on-premise or in the cloud. Users can effortlessly create data flows between various sources and targets using a simple drag-and-drop interface. Additionally, real-time SQL queries empower you to process, enrich, and analyze streaming data seamlessly, enhancing your operational efficiency. This flexibility fosters a more responsive approach to data management across diverse platforms.
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