Services Summary
DataStork offers state-of-art software engineering for organizations of various sizes and domains. We create a craft we take pride in and form partnerships we care about.
See DataStork’s market offering: DataStork-Services
Day: December 14, 2017
Technical Matrix
Experienced engineers are those that do not head-jump on the solution with hipster next-great-thing technology approach, rather carefully evaluate the unique customer needs and apply the right technology combination for optimal results. Like an experienced craftsman, each DataStork engineer masters vast palette of tools and knows which ones to pick for the job.
Get a summary of the technologies that DataStork masters: DataStork-Expertise
Case Study: Rapid Development in the AI Domain
Rapid development in complex domain?
DataStork applied combination of AI experience and state-of-art goal-oriented software development process to successfully deliver comprehensive application in just 2.5 months for leader in the Text Mining and Knowledge Extraction AI domains: DataStork-AI-Case-Study
Case Study: Large Scale Software Engineering
In Cloud proportions proven software patterns become bottlenecks, suboptimal decisions become disasters. The data layer is critical in distributed Cloud systems.
See how DataStork utilized its experience in game-changing enterprise projects to engineer large scale social network architecture for world-wide coverage and millions of users: DataStork Large Scale System Case Study
Case Study: BigData for Logistics Optimizations
For Logistic companies to reduce delivery times and expenses is a way to survive. Enterprise Logistics may require massive computing power and still discover the trends after days of data crunching.
Learn how DataStork helped a leading Logistics-Optimization company to scale its analytics. This helped them accommodate more clients and serve faster responses to business critical questions: DataStork-BigData-Case-Study