What is Quix?
Quix provides a comprehensive platform designed to streamline engineering data management by automating key test and development workflows. It helps engineers avoid wasting time hunting for scattered data files and manually processing information, instead offering centralized storage and real-time analysis capabilities.
The platform integrates with various testing environments including simulations, real-world tests, and production processes. It features open APIs for interoperability, Python-first development tools, and supports multiple deployment models including cloud, on-premises, and hybrid setups. Quix enables automated test reporting, dynamic parameter adjustment, and real-time data validation to significantly reduce development cycles.
Features
- Real-time Data Integration: Efficiently ingest high-volumes of data from disparate test and config sources and pre-process it for analytics
- Automated Test Reporting: Set up automations that generate fresh reports after test completion without manual data collection
- Centralized Storage: Consolidate scattered engineering data from laptops and network drives into a single source of truth
- Open Data Formats via API: Pull data into existing tools without vendor lock-in using standard APIs
- Python-first Development: Build custom applications with intuitive stateful stream processing Python library that integrates with any machine learning framework
Use Cases
- Automating test-to-simulation workflows by triggering simulation runs using actual measured values as boundary conditions
- Real-time model validation during testing without waiting for post-test analysis
- Dynamic parameter adjustment for subsequent test runs to reduce iterations
- Live streaming and monitoring of measurement data from test rigs or simulations
- Building scalable engineering data management systems for manufacturing and energy industries
FAQs
-
How does Quix handle both real-time streaming and batch data processing?
Quix supports both real-time streaming telemetry and batch/offload data processing. Customers can build offload ingestion pipelines for data dumps from rigs or aircraft, then process and analyze it similarly to live data. The platform also enables offline analytics and provides tools for hosting databases and applications for big data analytics, machine learning, or AI workloads. -
What deployment models does Quix support?
Quix supports three deployment models: Bring Your Own Cloud (BYOC) where the control plane is managed in Quix cloud while data plane runs in your environment; fully managed in your cloud where everything is deployed inside your cloud tenant; and self-hosted where you operate the platform yourself. Most customers choose BYOC for security, cost-efficiency, and managed service benefits. -
How does Quix ensure data security and compliance?
Quix implements industry best practice information security management systems and is accredited to ISO 27001, with SOC 2 compliance in progress. These standards apply across all deployment models, ensuring consistent security practices. Data sovereignty options include European data centers for Developer tier, customer-nominated infrastructure for Business tier, and Enterprise BYOC for critical security requirements.
