We design, build and optimize the data platforms behind systems that cannot fail.
Apache Cassandra and DataStax. Snowflake and AI-ready analytics. AWS architecture for startups. Oracle at scale. For eBay, the U.S. Postal Service, Comcast, and the startups that want to get there.
Four practices
Most people arrive knowing the shape of their problem. Start with the one that sounds like yours.
Trusted by
And many more — across telecom, retail, financial services, government and industrial IoT.
Service first
RhinoSource leads with service. In addition to keeping our customers' mission-critical systems running, we build our own products — gr8ful.ai, Tank Patrol, WorkCenter, this website — and they keep us honest at the frontier. What you get first is an architect who has already shipped the thing you are about to build.
Selected work
One from each practice. The systems behind mail tracking, home security, market data and web-scale catalogues.

GE Aerospace
GE Aerospace DataStax Enterprise Upgrade, Migration and Hardening
DataStax brought RhinoSource into GE Aerospace to author the production DSE upgrade and data-centre migration runbooks behind its Cassandra and Solr estate, build a utility to scrub diagnostic data before it left the customer's hands, resolve OpsCenter backup and audit failures, and assist with security hardening.

Sierra Circuits
Sierra Circuits PCB Manufacturing Cloud Transformation
RhinoSource architected and deployed a Snowflake data lake unifying Sierra Circuits' legacy SQL Server and disparate Cloud service data for enterprise BI, built the Cloud application architecture on AWS, and spearheaded data integration for a new Salesforce implementation.

ADT Pulse
ADT Pulse Smart Home Security Scalable IoT Architecture Design and Operations Support
RhinoSource designed the Oracle schema and VLDB partitioning architecture behind ADT Pulse, which runs on Oracle Exadata RAC and captures real-time IoT sensor data from millions of homes and businesses.

Netpulse
Netpulse Fitness IoT AWS Cloud Platform/Data Architecture Optimization and BI Reporting
Brought in by the COO to fix system performance and stability problems frustrating customers, RhinoSource overhauled Netpulse's AWS infrastructure, rebuilt legacy MySQL on cached MariaDB clusters for an order-of-magnitude query gain, and migrated MongoDB to DataStax Cassandra and Spark.
From the blog
- The AWS Decisions That Get Expensive Later
A founder's checklist of the AWS architecture decisions that are cheap to make early and painful to retrofit — from account structure and tagging to data store choice and storage lifecycle.
- Five Signals Your Cassandra Cluster Is in Trouble
Cassandra rarely fails loudly — it degrades. Here are the five warning signs that show up again and again in production cluster health checks, and what to look at first.
- Moving Multi-Dimensional Aggregations from Essbase to Snowflake
Essbase precomputed aggregations because compute was scarce. Snowflake changes that assumption — here's how to think about moving multi-dimensional financial aggregations onto a modern data platform.
Let's talk about your project.
Dave reviews every inquiry personally. Tell us what you are working on and we will tell you honestly whether we are the right fit.









