The primary use case of Druid in our organization is to display data to business units and build real-time dashboards. We are utilizing Druid on a Kubernetes cluster to showcase time-based analytics and run real-time analytics using Key Vault. It is valued for its ability to efficiently show real-time or near real-time data.
Efficiently display real-time data with optimal time series analytics
What is our primary use case?
How has it helped my organization?
Druid facilitates displaying real-time or near real-time data and time-based analytics to business units. It enhances our performance in delivering analytics and detecting anomalies, allowing us to respond to business needs swiftly. It saves us time and money by efficiently parsing data.
What is most valuable?
The time search and time index are beneficial features of Druid as we use it for time series data. It is helpful in showing time-based data to business units and conducting real-time analytics and anomaly detection. Additionally, Druid saves time and money by effectively organizing structured data.
What needs improvement?
We face challenges with Druid in merging two or more data sources. Merging or joining should be done in a more practical manner, facilitating easier combination of both real-time and batch data sources. Technical advancements in query management could further enhance its functionality in this area.
For how long have I used the solution?
I have been using Druid for more than two years, and within our company, it has been in use for over four years.
What do I think about the stability of the solution?
We are generally satisfied with Druid's performance. We occasionally experience errors, particularly when our data volume increases during weekends. However, these are not significant issues.
What do I think about the scalability of the solution?
We do not encounter scalability issues. Running Druid on Kubernetes eliminates previous scalability problems. By adhering to best practices on Kubernetes, our deployment is scalable and robust.
How are customer service and support?
Our team handles problems independently. We manipulate source codes to solve issues and benefit from the Druid community, particularly the select community.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
We currently use Hadoop Distributed File System (HDFS). We plan to migrate due to the evolving nature of technology and to keep up with new technological advancements.
What's my experience with pricing, setup cost, and licensing?
Druid is free for us as we use the open-source version.
What other advice do I have?
We consistently recommend Druid for real-time analytics, especially to e-commerce companies.
I would rate Druid at least a nine out of ten.
Which deployment model are you using for this solution?
Hybrid Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Other
