About |
Aster Data Systems is a proven innovator in high-performance analytical databases, bringing deep insights on massive data analyzed on clusters of commodity hardware.
The company was founded by three colleagues in the Ph.D. Computer Science program from Stanford University. Mayank Bawa, CEO, focused on algorithm design for querying large distributed data systems. Tasso Argyros, CTO and VP of Engineering, investigated network and software issues involved in the design and implementation of large-scale data clusters. George Candea, Chief Scientist, focused on high-availability technologies for large-scale computer systems.
The leading insights resulting from this research combined to form the foundation for Aster's architecture, that simultaneously optimizes across the three dimensions of scalability, performance and manageability. With Aster, systems are as easy to operate at 300 nodes managing hundreds of Terabytes as at 3 nodes managing hundreds of Gigabytes.