Use cases

XtremeData's mission was not to build "yet another parallel database". We took a first-principles approach and set out to tackle the industry's toughest big data issues: high-speed ingest, complex queries on complex schema, large databases, scalable performance. We have developed a purpose-engineered software engine. We are not a federation of legacy engines. The performance of our engine speaks for itself.If you need to ask ad hoc questions of "big data" without a six month IT project, you've come to the right place.

We are solving the toughest of the big data problems, covering the spectrum from users from the Vice President of Consumer Insight in the retail industry, to analysts in capital markets looking at massive amounts of Tick History.

Some sample use cases in different market applications are briefly described here.

Retail Company - Extract-Load-Transform (ELT)

Incumbent: Teradata 5600 - Multi-rack
Challenge: Process took 5 -10 hours and was not completing during the nightly processing window
Solution: 16-nodes of dbX on the client's internal cloud
Benefits: Processing time went down to 2 hours, consistently, and client can scale up nodes with click of a button in the future
TCO Saving: dbX software subscription is 1/10 the cost of existing clients maintenance payments.

CPG Solution Provider - Demand Signal Repository Cloud

Incumbent: Oracle and SQL Server
Challenge: Process and query response times were getting unacceptable for their clients
Solution: 8-nodes of dbX created the client's solution which is how a hosted analytics cloud for their clients
Benefits: Query response times are 10x faster and client data can be separated from other data using dbX multi-tenant features
TCO Saving:dbX was a fraction of the clients existing solution and allows for new client engagement with a few simple clicks

Smart meter Analytics

Incumbent: PostgreSQL
Challenge: Query responses have suffered as data size grew over 500GB
Solution: 3-nodes of dbX Community Edition - Free
Benefits: Query response times are 25x faster and client has runway for data sizes up to 5TB
TCO Saving: dbX's free community edition is currently solving this clients problems and they are positive they can scale as data grows

RETAIL COMPANY - Customer Loyality program

Incumbent: Netezza 10800 - Multi-rack
Challenge: Query response time were suffering when system handled more than 10 concurrent users, Appliance too expensive to maintain
Solution: 16-nodes of dbX on the client's internal cloud
Benefits: Query times on average were 1/2 of Netezza and can handle the clients 50 users with ease
TCO Saving: dbX software subscription is 1/3 the cost of existing client maintenance payments.