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Process Street
Process Street
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Process Street - the world’s first AI-powered process management platform. We help teams share their core processes, then transform them into powerful no-code workflows. Start with employee onboarding to set up new hires for success, then build all sor...
Process Street - the world’s first AI-powered process management platform. We help teams share their core processes, then transform them into powerful no-code workflows. Start with employee onboarding to set up new hires for success, then build all sor...
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Product Description

Process Street is a Compliance Operations Platform that helps teams turn policies into automated, audit-ready workflows. It combines three essential layers: a document management system for controlling SOPs and policies, a no code workflow engine for structured task execution, and an embedded AI agent that monitors activity in real time, flags risks, and enforces compliance. Built for operations and compliance leaders, the platform replaces manual oversight with visibility, control, and proof. T

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Aiven for Apache Kafka is a fully managed streaming platform, deployable in the cloud of your choice. Snap it into your existing workflows with the click of a button, automate away the mundane tasks, and focus on building your core apps.

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A stream data platform.

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Apache Kafka is an open-source distributed event streaming platform developed by the Apache Software Foundation. It is designed to handle real-time data feeds with high throughput and low latency, making it ideal for building data pipelines, streaming analytics, and integrating data across various systems. Kafka enables organizations to publish, store, and process streams of records in a fault-tolerant and scalable manner, supporting mission-critical applications across diverse industries. Key

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Amazon Kinesis Data Streams is a serverless streaming data service that makes it easy to capture, process, and store data streams at any scale.

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Redpanda is designed for developer ease of use, but with support, security, storage, and streamlined connectivity to fuel critical business applications with the freshest data.

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Cloud Dataflow is a fully-managed service for transforming and enriching data in stream (real time) and batch (historical) modes with equal reliability and expressiveness.

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StreamSets DataOps Platform is an end-to-end data engineering platform to design, deploy, operate and optimize data pipelines to deliver continuous data. StreamSets offers a single pane of glass for batch, streaming, CDC, ETL and ML pipelines with built-in data drift protection for full transparency and control across hybrid, on-premise and multi-cloud environments.

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A next-generation iPaaS, reimagined for new hybrid data management challenges with a microservices architecture.

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Spark Streaming brings Apache Spark's language-integrated API to stream processing, letting you write streaming jobs the same way you write batch jobs. It supports Java, Scala and Python. Spark Streaming recovers both lost work and operator state (e.g. sliding windows) out of the box, without any extra code on your part.

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Ably is a realtime data delivery platform providing developers everything they need to create, deliver and manage complex projects. Ably solves the hardest parts so they don’t have to.

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Scribe helps capture and share your team's expertise with smarter documentation

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The Tray Platform empowers anyone to do more, faster by harnessing automation with the leading, low-code general automation platform.

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Red Hat® OpenShift® Streams for Apache Kafka is a managed cloud service that provides a streamlined developer experience for building, deploying, and scaling new cloud-native applications or modernizing existing systems.

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Estuary is building the premier right-time data platform. We help teams move data at the moment it’s needed. Estuary makes it simple to build pipelines, apply transformations, and keep systems in sync. The platform delivers fast, reliable data movement at a lower cost than legacy ETL tools.

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Amazon Managed Streaming for Kafka (Amazon MSK) is a fully managed service that makes it easy for you to build and run applications that use Apache Kafka to process streaming data. Apache Kafka is an open-source platform for building real-time streaming data pipelines and applications.

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Nexla connects AI agents and apps to data systems, business apps, APIs, and documents through 1,000+ read-and-write connectors. Nexla powers real-time data and actions for agents over MCP, alongside Agentic Data Integration supporting high-volume ETL, CDC, streaming, API integration, and document ingestion. Delivering the right context and built-in governance, Nexla keeps every request secure, reliable, and traceable.

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Tango is an AI-powered platform designed to automate complex sales processes and CRM tasks, significantly reducing manual data entry and administrative overhead for sales teams. By capturing sales workflows through a browser extension, Tango automates data extraction, pipeline management, quote creation, and follow-ups, all while enforcing customized sales rules. This seamless integration allows sales representatives to focus more on selling by minimizing repetitive tasks. Key Features:

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Google Maps Platform is a comprehensive suite of APIs and SDKs that enables developers to integrate dynamic, real-world mapping and location-based services into their applications. Leveraging Google's extensive geospatial data, it offers tools for creating interactive maps, providing accurate routing, and delivering detailed place information, thereby enhancing user engagement and functionality. Key Features and Functionality: - 3D Maps: Developers can create immersive, photorealistic 3D maps,

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As a cloud-native AI, analytics and data management platform, SAS Viya enables you to scale cost-effectively, increase productivity and innovate faster, backed by trust and transparency. SAS Viya makes it possible to integrate teams and technology enabling all users to work together successfully to turn critical questions into accurate decisions.