Yellowbrick recently hosted a webcast discussing how Yellowbrick offloads overburdened legacy data warehouses to extend their life, reduce costs, and increase the performance of your analytic environment. Read on for a summary of the webcast.
Legacy data warehouses struggle to meet modern demands, including:
Yellowbrick Data helps enterprises meet today’s analytic and data warehouse challenges with the following features:
The chart below illustrates the current data warehouse landscape, sorting the primary vendors by different approaches:
Some vendors offer simplicity, with a scale up data warehouse in a single server. Other vendors deliver more performance and capacity than single-server solutions by scaling out many servers in a parallel processing architecture. Many single-server customers migrate to the scale out solutions once their data volume exceeds the capabilities of the single-server solutions. Yellowbrick Data is currently the only solution on the market that offers organizations a data warehouse that delivers high performance that scales to petabytes of capacity. Notably, it is available either in the cloud or a compact 6U on-premises system.
The webcast discusses how data management has evolved in recent years.
As the slide above illustrates, platforms like Yellowbrick Data give enterprises a solution to this problem. Enterprises can move high value data to Yellowbrick, giving these workloads access to sophisticated SQL analytics and the highest possible performance, while easing resource contention in their data lake to ensure that the rest of the business also runs at top speed.
Yellowbrick is compatible with the PostgreSQL dialect providing easy ecosystem connectivity. Installation, deployment, and integration is fast and simple in almost any existing environment.
Some common integration cases for Yellowbrick, include:
The webcast provides recommendations about when customers should consider using Yellowbrick, depending on their current environment.
When to consider Yellowbrick
Benefits of Yellowbrick
When your needs are outgrowing single-server capabilities
When you are spending too much time juggling the workloads of many disparate systems.
More capacity (compute and historical data
Same well-known SQL models
Pre-configured systems (Oracle or SAP)
When you want to make analytics available to more users
To meet corporate objectives to reduce infrastructure costs by moving analytics to Yellowbrick
Significantly lower costs from a flash-centric instead of DRAM-centric architecture
Opens analytic access to many teams simultaneously at a much lower comparative cost
When costs become too high or unpredictable
When you reach performance or concurrency limits
When you want to gain more control through a hybrid environment
Redshift is PostgreSQL compatible making migration easy
Yellowbrick offers cloud and on-premises solutions with predictable costs
Symphony RetailAI told us that: “[Query] performance improvements we saw were from 3x to 10x…basically running them as is.” They also noted how the ANSI SQL standard architecture of Yellowbrick simple to learn: “We had six engineers touch the system and all found it very easy to use because there was a lot of commonality with the existing system we already had.”
The demonstration illustrates analytics on a Netflow dataset captured over a six-month period to detect intrusion.
The demonstration illustrates the following Yellowbrick capabilities:
Importantly, this is all possible in an efficient solution that can be deployed in your data center or the cloud.
You can view the 23-minute on-demand webcast here.