Operations | Monitoring | ITSM | DevOps | Cloud

As data continues to grow exponentially, businesses need powerful tools to search, analyze, and visualize their data efficiently. OpenSearch has emerged as a top choice for organizations seeking an open-source, scalable search and analytics engine. However, managing OpenSearch in-house can be complex, costly, and resource-intensive. That’s where hosted OpenSearch comes in.

Kafka is an open-source distributed streaming platform for high-throughput and fault-tolerant real-time data streaming in large-scale systems. It can integrate with a wide range of data sources and sinks, which include databases, message queues, big data processing frameworks like Apache Spark and Apache Flink, and many more.

Time series data is particularly prevalent, seen across numerous different industries and use cases. It offers significant value to various organizations, highlighting the importance of effectively monitoring and analyzing the data. By analyzing and monitoring time series data you can understand trends, patterns, and anomalies in sequential data collected at many points in time.

If you’re considering OpenSearch for your search and analytics infrastructure, the first question that likely comes to mind is: what will it cost? OpenSearch, the powerful, open-source search engine and analytics platform, provides a highly scalable solution for businesses. However, while the software itself is free to use, there are still costs associated with hosting, maintaining, and scaling OpenSearch clusters.