Brolly, Australia’s comprehensive social archiving platform has appointed Aiven, the open source cloud data platform company, to deliver a modern data infrastructure platform that is secure, reliable, and able to scale at speed.
As Australia’s first comprehensive social media archiving and engagement service, Brolly’s purpose is to help customers archive digital-born records securely and efficiently in accordance with industry compliance regulations. Mission critical as many of its customers work in highly regulated industries like financial services, healthcare, and Government.
Using Aiven for Apache Kafka, Brolly has not only improved data processing efficiency and reduced database errors but freed up valuable IT resources by giving its IT team more time to focus on customer value creation.
Ali Nazemian, Chief Technology Officer at Brolly, comments, “We were looking for a reliable technology partner that we could trust to deliver scale, supporting our growing social archiving needs and services on demand, without adding additional resourcing pressures. Aiven made everything so simple for us from the get-go.”
Aiven’s data management solution has enabled the company to manage continuous streams of structured and unstructured information from multiple sources. The agile and scalable database platform ensures Brolly can manage and anticipate its customer’s data processing and archiving needs while also providing required industry compliance.
Troy Sellers, Solutions Architect, Asia Pacific at Aiven comments, “We are pleased to be partnering with Brolly, helping them capture and preserve their customers’ social media conversations. Aiven’s Apache Kafka ecosystem is ideal for Brolly’s high-volume data streaming needs. Its agility means we can scale at speed to match Brolly’s changing rate of data ingestion.”
The transition of migrating Brolly customers’ data to the new Aiven platform and services, was completed in less than four months, with zero downtime. Brolly’s customers can now extract and search millions of records in real-time once their historical data is collected.
