Once deployed and adapted to your needs, the PASS software suite offers a powerful graphical front-end interface using the latest Web development technologies. This animation gives you some elements of the graphical capabilities of this interface, including the capacity at the representations of the data.
We invite you to follow the rest of this presentation to understand our solution.
The modules we currently use are either open source modules like PMACCT (Netflow and sFlow data), or modules developed by us in golang (SNMP processing, CDR Charging Data Records of voice networks)
These two solutions are quite close to each other. Both are based on a model called “columnar db” or model OLAP. Druid allows automatic temporal aggregation that clickhouse does not allow. Clickhouse offers flexibility and an SQL interface that Druid does not always allow. Depending on your specific use cases we will direct you to the best solution for your needs. You can also consult our existing use cases.
As always, we cannot work without the use of the very robust PostgreSQL database which will be in charge of processing the meta-data of our big data solutions. This type of database is also used by the Frontend of the PASS solution.
Big data, the icing on the cake ! We take advantage of this section to clarify what big data means for Pragma Innovation. We select our solutions so that they are scalable horizontally. Also, a big data solution must have the possibility to be reduced to a single server with some TB of data. It must be able to evolve to PetaB and support our customers in their growth. It is therefore simple and inexpensive to evaluate the PASS stack.