Tanzu has cut our expenses because it doesn't use expensive hardware. We can store huge amounts of data in a single place and query that data quickly if regulators want to see older data. Carrying out large-scale analytics on a cheaper platform and getting it within 30 seconds is not easy. Tanzu helps us to achieve that. 

It works very well with large database queries. It works efficiently even in cases where you have a query worth terabytes of data.

We maintain the servers on our premises. Compared to Snowflake, Greenplum is a cheap solution for analytical purposes.

Loading batch data has really improved the efficiency of our organization.

Running Extracts has drastically improved the timings. Being MPP which is a bulk operator - we were able to do 1.5 million calculation in 15 minutes.

Loading batch data has really improved the efficiency of our organization.

Loading data to Greenplum server after batch processing.

Not Applicable for the area I was responsible for, as we ended up migrating away from Greenplum.

This has improved our daily load process reducing the run time at least by three to four hours which made other departments within the organization to look for data from the Enterprise Data Warehouse.

Greenplum is a high powered, multi-node database that was chosen for its capacity to ingest and query data at extremely high rates of speed, enabling in Database Analytics and Statistical output on granular levels of data that was otherwise inaccessible before its deployment. We were able to analyze and produce output on large volumes of data very quickly which saved us lots of time (we used to wait for hours to get the same output). The management was able to get insights very quickly so that they can make informed decisions.

We have improved our quarterly statements turnaround dramatically and could sustain for increasing data.

For complex queries, which would normally take a long time, and for reporting, it is very efficient. It doesn't take a long time for the execution of any report for the end-user.

Before we implemented Greenplum, our weekly data loads (for third party marketing data sets) were taking over three days. (We also had some monthly data that could take up to 3 days to load and transform via Informatica.) After we implemented Greenplum, the loads were reduced to less than nine hours. Previously, we were receiving data early Wed a.m. and not getting out to the salesforce (if we were lucky) until noon on the following Monday. Now we get the data to the field early Friday mornings before they wake up.

• This has helped us bring down our end-to-end EDW load time to 1/3 the time.
• It has enabled faster and efficient data analysis.
• Scalable environment without adding too much cost.

With this solution, we've reduced load on the OLTP systems.

It increased the read/write process because of it MPP architecture.

The previous data warehouse was built in Oracle. One of the things which has improved in GreenPlum is that we can query millions of rows at speed, without creating lags. We’ve also built far more views; slowly changing dimensions can instantaneously update without creating the issue of having to rebuild tables to reflect new hierarchies, for example.

It's allowed us to do a lot of data analytics with it that we weren't able to do before.

It helped us in loading millions of data in quick time & improved query response.

Batch processing times have dramatically decreased from over 12 hours to under three hours. Much of this is converting off of Informatica and using distributed processing. Reporting performance also improved greatly.

A lot of customers use Greenplum and for their ETL use cases they use Informatica PWX for Greenplum, which helps them achieve transfer of data from a number of data sources into Greenplum. We can help customers to load data effortlessly and quickly.

Before we had Oracle Exadata, some queries would take more than 20 hours of execution. With Greenplum, it take a few minutes.

We process billions of rows of data every hour; MPP architecture is important to process data in such volume.

We have a set of workflow flows that takes 10 hours in Oracle Exadata, now it takes 4 hours with EMC Greenplum.

The reports are running very fast, a matter of minutes instead of hours as it was previously.

There is only a fraction of performance tuning that you need to be careful about, compared to Oracle DB.