Integrating new technologies slows development without imparting useful skills, while complex storage and streaming architectures make debugging difficult, limit scalability for data exploration, and often demand separate languages.
- Building and troubleshooting complex architectures and integrating new tech
- Scalability issues
- Too many one-off specialized skills and tools
The Kinetica Streaming Data Warehouse delivers massive scale, incorporates ML, location, graph, and real-time analytics in a unified platform, and offers full support, REST APIs, and SQL so developers can use the tools they are used to to build richer apps quicker.
- Incorporates ML, location, graph, and real-time analytics in a single platform, so you spend more time on code, less on data pipelines
- Massive scale
- Standard tools including SQL, REST APIs, and full support