10+ Best Time Series Intelligence Software 2023

The Universal Adapter in Axibase Enterprise Reporter (AER) allows for integration with any monitoring system or custom data source that supports JDBC access. Systems administrators and application support teams can easily conduct and automate performance monitoring and capacity planning operations using AER as a single point of access to IT infrastructure information.

Since 2012, the company has worked with small and large businesses to enhance their data utilization and how they collaborate to share insights. Clarify was born after many years of working in the fields of maritime and heavy industries. It was created to assist everyone in exploring data, applying artificial intelligence, and sharing knowledge in order to learn more.

Warp 10 was founded in 2013 in response to the issues provided by data generated by consumer IoT devices. SenX, the company driving the Warp 10 development, has spent a lot of time and money developing a high-performance storage engine and a sophisticated analytics environment, both of which are designed expressly for time series and location data.

Amazon Web Services has the most extensive global cloud infrastructure. It offers a lot of products and services, from infrastructure technologies like compute, storage, and databases, to emerging technologies such as machine learning and artificial intelligence, data lakes and analytics, and the Internet of Things. Amazon Forecast, one of its products, was created in 2012.

The Google Cloud Inference API is a scalable and extremely efficient solution that allows developers to get real-time insights from their typed time-series information. The API is completely linked with Google Cloud Storage and has the capacity to handle tens of billions of event records. In the year 2008, the software was created.

In 2014, Trendalyze was established. It has offices in London, Toronto, Sofia, and India, as well as a headquarters in New York. The startup was initially supported by a European Union grant, but it has since raised venture funding. Its clients are wide, spanning from gaming to medical research, as well as industrial and IoT applications and financial services.

TrendMiner is headquartered in Belgium and has locations in the United States, Germany, Spain, and the Netherlands. It was founded in 2008 and is now part of Software AG. Its flagship software is built on a high-performance process data analytics engine. Process engineers and operators simply search for trends using TrendMiner's patent-pending pattern recognition and machine learning big data technologies.

Avora's proprietary technology hides complexity, allowing non-technical people to run and share reports with ease. Avora, based in London with offices in New York and Romania, assists customers in a variety of industries and marketplaces, including retail, financial services, advertising, supply chain, and media and entertainment, with speedy decision-making and productivity.

Anodot was formed in 2014 by a team with extensive AI and DevOps experience with the purpose of revolutionizing analytics and business monitoring. Customers utilize the platform to preserve income, cut costs, and improve the customer experience. With 120 people in its offices throughout the world, Anodot is headquartered in Ashburn, Virginia, and Ra'anana, Israel.

Seeq was created on the idea that many process manufacturing companies are "Data Rich, Information Poor" (DRIP), and that this number would grow as new sensor installations and increased data production rates fueled by the Industrial Internet of Things become more prevalent. Seeq is a venture-backed software firm based in Seattle, Washington.