Superstream Reviews

Plauti builds native data-quality applications that run entirely within your CRM environment. No data is sent to external servers or third-party processing services, and there’s no parallel infrastructure to maintain. Your data stays where it belongs: under your control, behind your security perimeter, governed by your own access model. For Salesforce, Plauti addresses the full lifecycle of data quality: > Prevention at entry: Real-time duplicate detection alerts users as they type, blocking bad data before it’s created. > Detection from external sources: Identify duplicates coming from integrations, imports, and APIs, so data quality doesn’t degrade over time. > Batch remediation at scale: Run powerful batch jobs to find, review, and merge existing duplicates, with full audit trails for compliance and governance. > Contact data verification: Validate email addresses and phone numbers before they’re saved to reduce bounces and failed outreach. All processing runs natively on Salesforce infrastructure. Plauti respects your existing profiles, roles, and permission sets, so there’s no separate login, no data synchronization layer, and no new security surface to harden. For Microsoft Dynamics 365, Plauti provides similar control over duplicates with real-time alerts, API-driven detection, batch processing, and cross-entity matching. It’s designed for CRM admins and data stewards who need direct, immediate control over data quality without waiting on developers, external consultants, or long IT ticket queues.

The HiveMQ Platform provides a scalable, reliable data backbone with an event-driven MQTT architecture. Here are a few highlights: 1. MQTT Broker: At the heart of the HiveMQ platform is a fully MQTT-compliant broker purpose-built for fast, reliable, bi-directional data movement between IoT devices and enterprise systems. 2. Edge Data Integration: HiveMQ Edge seamlessly integrates edge data by converting industrial protocols into standardized MQTT, enabling an interoperable IIoT infrastructure. 3. IoT Streaming Governance: Data Hub transforms data in flight, passing only the most relevant, contextualized data to cloud and enterprise systems. 4. 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. 5. Distributed Data Intelligence: HiveMQ Pulse unifies and contextualizes data across the enterprise for smarter decisions exactly where they matter most. 6. Maximum Interoperability: Runs anywhere on-premises or in public or private clouds. Efficiently connects to streaming applications, databases and data lakes with a Java SDK to build your own 7. Scalability to Support Growth: Elastic scaling with automatic data balancing and smart message distribution. Proven benchmark of up to 200M active clients with 1.8B messages/hour 8. Business Critical Reliability: Zero message loss with persistence to disk and offline queuing. No single point of failure due to masterless cluster architecture and zero downtime upgrades