Big data architecture and processing solutions engineered for the volume, velocity, and variety that traditional databases can't handle.
When data volume, velocity, or variety exceeds what traditional databases handle efficiently, you need purpose-built big data architecture. We design and build distributed processing systems and data lake architectures sized appropriately to your actual scale — avoiding both under-provisioned bottlenecks and wastefully over-engineered infrastructure.
We size big data infrastructure to your actual and realistically projected scale, since over-provisioned 'big data' architecture for data that would fit comfortably in a normal database just adds unnecessary cost and complexity.
Infrastructure scaled to your real data volume, not hypothetical scale.
Real-time processing architecture for high-velocity data needs.
Distributed processing tuned to control infrastructure spend at scale.
Data lake architecture handling structured and unstructured data alike.
We assess your actual data volume, velocity, and processing needs first, since many businesses don't need full big data architecture — and we say so when a simpler solution fits better.
Book a free consultation to discuss your big data architecture needs.