Agile Data Engineering Platform
Eliminate Complexity Through Automation
The Challenge
Big data and cloud projects fail to deploy to production because data engineering and dataops are complex, resource intensive efforts that often take months or even years.
The Solution
Infoworks agile data engineering platform automates the creation and operation of big data workflows from source to consumption, both on premise and in the cloud. We use big data automation to help our customers successfully implement end-to-end use cases to production in days, using 5x fewer people.
Customer Case Studies
- Synchronized with Teradata every 10 mins
- 15 min data-availability service level agreement
- Implemented by 2 engineers in 19 days from requirements to production
| Without Infoworks | Infoworks |
| ~6 Months | 19 Days |
- Streams data from oil wells in near real-time
- Integrates with historical data
- Built a real time drilling dashboard with preventive maintenance analytics
- POC to production ready in 2 weeks
| Without Infoworks | Infoworks |
| ~6 Months | 10 Days |
- 1,500 data sources
- 100,000+ tables
- Ingests, synchronizes and captures changing data on an ongoing basis
- Supports a data shopping cart for enterprise-wide usage
- Eliminated hand coding
| Without Infoworks | Infoworks |
| ~9 months | 2 Weeks |
Automation is the Key
Infoworks has introduced the world’s first agile data engineering and dataops platform, called the Infoworks Autonomous Data Engine. By applying an unprecedented level of big data automation to data engineering and dataops, we eliminate big data complexity both on-premise and in the cloud.
Automates the complete data workflow from data ingestion to consumption
Automates migration of data and workloads from legacy data warehouse systems to big data platforms
Automates ongoing orchestration and management of production analytics pipelines and critical infrastructure
Automates delivery of data to business intelligence and advanced analytics
Big Data Automation Delivers Tremendous Value to Your Business
- Deploy new use cases in days….not months
- Add new data sources with a single click
- Enable self-service for faster data pipeline creation
- Choose any analytics tools, methods, or algorithms
- Choose any big data platform, on premise or cloud
- Integrate custom or 3rd party applications
- Reduce time to build and maintain analytics use cases
- Reliably operationalize projects into production
- Monitor the status of end-to-end data pipelines
- Focus resources on generating business value
- Decrease demand on IT through self-service
- Spend less time maintaining existing data workflows