From Minutes to Milliseconds: Verint's Journey to Real-Time Analytics with InfluxDB

Verint, a customer experience automation platform, was facing scalability challenges with its previous database due to rapidly growing data volumes and the need for long-term analytical capabilities. The company evaluated several time series databases, including OpenTSDB, Amazon Timestream, and TimescaleDB, but ultimately chose InfluxDB Clustered for its on-prem deployment flexibility, maintainability, and performance benefits. Verint selected InfluxDB for its ability to store data in durable object storage, enabling robust backup capabilities and reducing latency. The company is currently ingesting hundreds of millions of data points per month into InfluxDB and plans to scale further to billions of data points per month in 2025, with future plans including integration with Apache Superset for dashboard creation and visualization.

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