Best Time Series Intelligence Software for Mid Size Business - Page 2

Amazon Timestream is a rapid, scalable, and serverless database service designed for time series data, catering to IoT and operational applications, allowing users to store and analyze trillions of events daily at speeds up to 1,000 times faster and at costs as low as one-tenth of traditional relational databases. By efficiently managing the lifecycle of time series data, Amazon Timestream keeps current data in memory while transferring older data to a more economical storage tier based on user-defined policies, thus saving both time and expenses. Its unique query engine enables seamless access to and analysis of both recent and historical data without the need for users to specify whether the data is stored in the in-memory or cost-effective tier. Additionally, Amazon Timestream comes equipped with built-in time series analytics functions, allowing users to detect trends and patterns in their data almost in real-time, enhancing decision-making processes. This combination of features makes Timestream an optimal choice for businesses looking to leverage time series data efficiently.

Axibase Enterprise Reporter (AER) serves as a comprehensive IT reporting tool designed for performance analysis and capacity forecasting using linked data and self-service methodologies. Its innovative linked data architecture enables AER to offer reporting functionalities across various monitoring systems concurrently, eliminating the need to duplicate data. AER is seamlessly integrated with a wide range of platforms, including IBM Tivoli, Microsoft System Center Operations Manager, HP Openview and Performance Manager, BMC ProactiveNet, VMWare vCenter, Oracle Enterprise Manager, SAP HANA, NetApp OnCommand, WhatsUp, Dynatrace, Entuity, among others. Furthermore, AER features a universal adapter that allows for connectivity with any monitoring system or custom data source that complies with JDBC standards. By utilizing AER as a centralized hub for IT infrastructure metrics, systems administrators and application support teams can efficiently carry out and automate tasks related to performance monitoring and capacity planning, significantly reducing the effort involved. This streamlined approach not only enhances operational efficiency but also empowers teams to make data-driven decisions with greater agility.