Quix Streams
UnclaimedAccelerate engineering R&D by transforming test data into actionable insights in real-time.
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TL;DR - Quix Streams
- Manages and analyzes engineering test data in real-time.
- Automates data ingestion, processing, and contextualization for faster insights.
- Provides a flexible, Python-first platform for custom analysis and integration.
Pricing: Paid only
Best for: Enterprises & pros
Pros & Cons
Pros
- Significantly reduces the time to make test data actionable
- Empowers engineers with self-service tools for analysis and application development
- Offers high flexibility with Python-first development and open APIs
- Supports various deployment models including cloud, on-premise, and hybrid
- Automates complex infrastructure management (Kafka, Kubernetes)
Cons
- Requires a Proof of Concept engagement before full commitment
- Pricing is not transparent and requires direct inquiry
Key Features
Real-time tracking and analysis of measurement dataAutomatic joining of measurement and configuration data with metadata taggingCentralized storage for all engineering dataOpen data formats via API for integration with existing toolsManaged infrastructure for public, private, or hybrid cloud/on-prem deploymentsDevelopment tools for scripting, advanced analytics, visualization, and automationCI/CD integration for version control and reusabilityFully Managed Kafka for event streaming applications
Pricing
Paid
Quix Streams offers paid plans. Visit their website for current pricing details.
About Quix Streams
By Toolradar Team·
Quix is an engineering data management platform designed to streamline the entire test and development lifecycle. It addresses the common bottleneck of making test data actionable by providing real-time tracking and analysis, automatically joining measurement and configuration data, and centralizing all engineering data into a single source of truth. This enables engineers to monitor experiments live, instantly analyze results, and validate models without manual post-processing.
The platform is built for various engineering roles, including R&D/Engineering Leads who need to increase testing capacity and make historical data searchable, Software/Data Engineers who require a managed service to ship custom analysis tools, Systems/Domain Engineers who need to understand data anomalies quickly, and Test Engineers looking to automate manual tasks. Quix supports integration with virtual testing environments, real-world physical tests, and production processes, allowing for comprehensive data management across SIL, MIL, HIL, CFD, and FEA simulations, as well as live data streaming from production machines. It offers a Python-first, open API approach, providing flexibility and control over data integration and application development.
How we evaluate tools →Source: quix.io
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Quix Streams FAQ
How does Quix integrate with existing virtual testing environments like SIL, MIL, HIL, CFD, and FEA?
Quix integrates with these virtual testing environments to build comprehensive workflows. It links simulation results with their configurations into a single indexed record, making every run traceable and queryable. This allows for querying virtual test data against physical test data to accelerate model correlation and system verification.
Can Quix be deployed within an organization's private cloud or on-premise infrastructure, or is it exclusively a public cloud service?
Quix offers flexible deployment options including public, private, or hybrid cloud, and on-premise deployments. The platform provides a Control Plane to manage projects across distributed environments, and its Data Planes can run on fully managed Kubernetes infrastructure in the cloud, on-premise, or within your own cloud account (BYOC).
What specific benefits does the 'Bring Your Own Broker' feature offer compared to using Quix's Fully Managed Kafka?
The 'Bring Your Own Broker' feature allows organizations to connect Quix to their existing Kafka infrastructure, such as Confluent Cloud or self-hosted Kafka. This preserves existing investments, avoids migration costs, and maintains full control over the Kafka environment's configuration, access policies, and network isolation, while still leveraging Quix's pipeline development, monitoring, and deployment capabilities.
How does Quix ensure data security and compliance for sensitive engineering information?
Quix incorporates top industry tools for security to keep sensitive information safe. It also supports deploying workloads in isolated private node pools and dedicated clusters, providing the security and performance of dedicated resources. For compliance, it allows running workloads where data needs to be, including within an organization's own cloud account (BYOC) or on-premise infrastructure.
What kind of development tools are provided for hardware engineers to build their own solutions on Quix?
Quix empowers hardware engineers with a complete toolset for data management, scripting, advanced analytics, visualization, and automation. This includes a Python-first approach with reusable templates, an intuitive stateful stream processing Python library, and an online IDE for quick iteration and one-click deployment of applications.
How does Quix facilitate the automation of reporting around tests?
Quix automates the ingestion, processing, storage, and reporting around tests. It allows for monitoring multiple test rigs from a single station and automatically generates reports. By centralizing data and providing real-time analysis, it eliminates the manual work involved in data collection and report generation.
Source: quix.io