– In an online event held on May 27th, LeanXcale showed the details of the project developed at Informa D&B, leading business information company in Spain, Portugal, and Colombia, and a member of the D&B net.

– In this event, Daniel Esteban, Architecture Manager at Informa D&B, provided an in-depth and highly technical overview of Informa’s data architecture and the improvement that LeanXcale has brought.

– More than 400 data professionals from Spain and Latin America registered for the event.

LeanXcale, Spanish software manufacturer, has closed a great deal with Informa D&B, leading business information company in Spain, Portugal, and Colombia; part of the CESCE Group, and member of the D&B net.

To share the success story at Informa, LeanXcale hosted an online event where Informa’s Architecture Manager, Daniel Esteban, explained in depth their data architecture and the role of LeanXcale database in it.

INFORMA`S HUGE DATA LAKE

Daniel, one of Spain’s leading experts in big data, introduced Informa’s data lake to the audience: a platform with more than 120TB and 300 servers that store the biggest database of Spanish business information.

LeanXcale, he explained, is working in a critical part of this data lake, where there was a need of mixing high data ingestion, fast querying, SQL, great scalability, and cloud deployment.

Figure 1: Informa’s data lake

BEFORE AND AFTER

To illustrate the improvement achieved with LeanXcale versus the previous scenario with Oracle, Daniel showed the acceleration achieved in some of the processes.

First, two load processes:

  • An initial load, that took two days with Oracle, just lasted some minutes with LeanXcale.
  • A weekly update, that took 27 hours with Oracle, accelerated up to 45 minutes with LeanXcale.
Figure 2: load processes time cost with Oracle vs. with LeanXcale

Then two extract processes:

  • First of them, a CECA process that costed 40 minutes with Oracle, took 1.5 minutes with LeanXcale.
  • The second one, consisting of SQL queries, moved from 68 seconds with Oracle to 8 seconds with LeanXcale.
Figure 3: extract processes time cost with Oracle vs. with LeanXcale

new possibilites of leanxcale

Apart from the actual use in the BDMark of Informa’s data lake, where LeanXcale is already in production, Daniel explained that considering LeanXcale versatility and performance, soon they will be using it on several other places of their data lake. For this, Informa has signed a ULA (Unlimited License Agreement) with LeanXcale since they forecast an intense use of this database.

Figure 4: possible uses of LeanXcale in Informa’s data architecture

DEMO: leanxcale in data pipelines

To close this event, Juan Mahillo, LeanXcale’s CRO, showed a demo where LeanXcale ingests records from a dataset of loans at a pace of 780k/s using a couple of commodity servers with four cores and 16GB of memory, and then perform SQL queries over it.

If you want to see the highlights of Daniel’s participation and the demo, check this video.