Best Web-Based Time Series Intelligence Software of 2024

A Revenue Operations Platform that increases revenue results. Automated CRM updates Check. Time series analysis? Check. Clari offers more than just innovative features. Clari solves the real problem by combining revenue intelligence, forecasting, and execution insights. It is efficient and predictable in hitting your targets every quarter. Clari's Revenue Operations Platform is purpose-built to increase revenue predictability. It takes previously untapped data, such as call logs, CRM, email, and CRM, and turns it into execution insights that you can use for your entire revenue team. Clari combines AI insights with human intuition to enable your team to forecast with greater accuracy and foresight. It uses a consistent, automated process that can be used to manage all businesses in your company. You can collect valuable activity data from prospects, customers, and reps so you are always up to date on what's happening in your deals, in your business, and with your team.

The Circonus Platform, the only monitoring and analysis platform that can handle unprecedented data volumes, up to billions, in real-time to provide critical business insight and value, is the Circonus Platform. Circonus is the right platform for you if your business depends upon your ability to perform. Circonus Platform allows you to seamlessly integrate any technology at any scale. It also makes it possible to use its API to quickly and easily integrate any technology. Circonus allows customers to connect their systems and view and monitor their data in real-time. Circonus Platform's patent-pending histogram technology allows for unparalleled handling of high sampling frequencies at intervals as short as a millisecond. This allows users to see a more complete, real-time view of their underlying systems. Machine learning capabilities also provide highly accurate, predictive insights that give customers an advantage in building business value.

A NEW WAY TO BUY ENERGY AND RAW MATERIALS Datapred is an online integrated software program for energy and raw materials buyers. It assists them with market awareness and reporting, and provides powerful decision support. Connectivity to both internal and external data sources, along with powerful analysis, forecasting, and optimization models, ensures that buying decisions are compatible with both market conditions and operational conditions. Datapred is used in the energy industry by energy advisors and industrial companies.

Sedai intelligently finds resources, analyzes traffic patterns and learns metric performance. This allows you to manage your production environments continuously without any manual thresholds or human intervention. Sedai's Discovery engine uses an agentless approach to automatically identify everything in your production environments. It intelligently prioritizes your monitoring information. All your cloud accounts are on the same platform. All of your cloud resources can be viewed in one place. Connect your APM tools. Sedai will identify and select the most important metrics. Machine learning intelligently sets thresholds. Sedai is able to see all the changes in your environment. You can view updates and changes and control how the platform manages resources. Sedai's Decision engine makes use of ML to analyze and comprehend data at large scale to simplify the chaos.

Anodot uses AI to deliver autonomous analytics at enterprise scale across all data types and in real-time. We provide business analysts with the ability to control their business, without the limitations of traditional Business Intelligence. Our self-service AI platform runs continuously to eliminate blind spots and alert incidents, and investigate root cause. Our platform uses machine learning algorithms that are patent-pending to identify issues and correlate them across multiple parameters. This eliminates business insight latency and supports quick, smart business decision-making. Anodot serves over 100 customers in the digital transformation industry, including eCommerce, FinTech and AdTech, Telco and Gaming. This includes Microsoft, Lyft and Waze. Anodot was founded in 2014 in Silicon Valley and Israel. There are also sales offices around the world.

Warp 10 is a modular open source platform that collects, stores, and allows you to analyze time series and sensor data. Shaped for the IoT with a flexible data model, Warp 10 provides a unique and powerful framework to simplify your processes from data collection to analysis and visualization, with the support of geolocated data in its core model (called Geo Time Series). Warp 10 offers both a time series database and a powerful analysis environment, which can be used together or independently. It will allow you to make: statistics, extraction of characteristics for training models, filtering and cleaning of data, detection of patterns and anomalies, synchronization or even forecasts. The Platform is GDPR compliant and secure by design using cryptographic tokens to manage authentication and authorization. The Analytics Engine can be implemented within a large number of existing tools and ecosystems such as Spark, Kafka Streams, Hadoop, Jupyter, Zeppelin and many more. From small devices to distributed clusters, Warp 10 fits your needs at any scale, and can be used in many verticals: industry, transportation, health, monitoring, finance, energy, etc.

Visualize data from your historians, SCADA & IoT devices and make them usable for the entire workforce. From field workers to data scientists. Explore data like never before. All your industrial data can be integrated, organized, collaborated and visualized in one tool. Streaming data timeline technology allows you to quickly navigate and visualize hundreds upon thousands of data signals simultaneously without losing sight or performance. Tag any member of your team to create a thread or log incidents directly in the data timeline. You can add media such as images and videos to give context. To avoid solving the same problem twice, search and view past activities. Our permission system ensures that only you have access. Developer-friendly documentation is available and secure APIs make it easy to use. Accessible in any modern browser, whether you're using a tablet, a mobile phone, or a workstation. Our native mobile apps let you take industrial data with your on-the-go.

Seeq is the first app that focuses on process data analytics. Search your data, add context, model, cleanse, find patterns, establish boundaries and collaborate in real-time with time series data. No matter what your operational data system or process historian - the OSIsoft®, PI System®, Honeywell’s Uniformance®, Emerson DeltaV and Ovation or Inductive Automation's Ignition - Seeq can connect and get to work in minutes. What's missing in the current hype about predictive analytics, machine learning and data science is solutions to the real problems that an analytics-driven company faces. Your current employees' expertise. Collaboration and knowledge capture are key to fostering sharing and reuse of analytics efforts. The ability to quickly distribute insights to those who need them to improve outcomes.

Decisions are not to be taken lightly. Reduce the time it takes to complete machine learning projects. Our AI search engine provides instant insights, just like Google. Inaccuracy can cost you money. Patterns show what averages and KPIs are missing. TRND identifies patterns that are missing from KPIs. Empower the decision-maker. Trends are relevant to decision-makers who want information on whether there is a threat or a opportunity. In the digital economy, knowledge is money. TRND allows the creation of sharable patterns libraries that allow for fast learning and deployment to improve business operations. You can't monitor all so you can't monetize them all. TRND doesn't find needles in the haystacks. It continuously monitors all needles to identify relevant information. You can't buy it if you don't have the money. Scale used to break the bank. Micro monitoring at scale is possible with our search-based approach.

Amazon Forecast is a fully managed service that uses machine-learning to provide highly accurate forecasts. Today, companies use everything from simple spreadsheets and financial planning software to accurately forecast future business outcomes, such as product demand, resource requirements, and financial performance. These tools create forecasts by looking at historical data, also known as time series data. These tools might attempt to predict the future sales for a raincoat using only its past sales data. The assumption is that the past determines the future. This approach is not able to accurately forecast large amounts of data with irregular trends. It is difficult to combine data that changes over time (such price, discounts, and number of workers) with relevant independent variables such as product features and store location.

Modular IoT platform allowing for best-of-breed OEM technology to back-end development and operations. This enables IoT solution delivery at scale. Advanced rule logic modeling, execution, and lifecycle management. Automate any data workflow from the simple to complex. Waylay platform was built from the ground up in order to natively deal with multiple data patterns such as IoT, OT, and IT. The same platform allows you to combine streaming and time series analytics. You can quickly deliver self-service and KPI-centric apps for IoT solutions to non-developer groups, accelerating the time to market. The benchmark will help you determine which automation tools are best suited for your IoT use case. IoT application development differs fundamentally from normal IT development. It involves bridging the physical world with Operations Technology (OT), actuators, sensors, and gateways to the digital realm of Information Technology (IT).

Azure Time Series Intelligences Gen2 is an open-source, scalable IoT analytics service that can be integrated into existing workflows and applications. It can be used to collect, store, query, query, and visualize data at Internet of Things scale (IoT),-data that is highly contextualized and optimized in time series. Azure Time Series Insights Gen2 can be used for operational analysis and data exploration. It allows you to spot anomalies and uncover hidden trends. It is flexible and open to all industrial IoT deployments.

Time-series analysis is crucial for many companies' day-to-day operations. The most popular uses include analyzing foot traffic and conversions for retailers, detecting data abnormalities, identifying correlations over sensor data, and generating high-quality suggestions. Cloud Inference API Alpha allows you to gather insights from your time-series data in real-time. You can get all the information you need to understand your API query results, including the groups of events examined, the number and background probabilities of each event returned. You can stream data in real time, which makes it possible to calculate correlations for real events. Rely on Google Cloud's entire infrastructure and defense-in depth approach to security, which has been innovating for over 15 years via consumer apps. Cloud Inference API integrates seamlessly with other Google Cloud Storage services.

Every event, from transactions to meetings and everything in between, happens at a specific point or time. To be successful in investigations, you need to understand how these events occur and how they are linked. KronoGraph is the first toolkit to create scalable timeline visualizations that reveal patterns within time data. To explore the evolution of events and relationships, create interactive timeline tools. KronoGraph gives you a rich interactive view of the data, whether you are looking into phone calls between two people, or IT traffic across an entire enterprise network. You can easily move from a high-level summary to individual events. This makes it easier to support investigations as they grow. Investigations often depend on identifying the specific points of interest, such as a person, an incident, or a connection. KronoGraph's interactive view allows you to scroll through time and uncover patterns. You can zoom in on individual entities to reveal the hidden story within your data.

Autobox is the easiest way to forecast. Autobox is easy to use for both novice and experienced forecasters. You can load your data and make forecasts like a pro. Autobox will enhance your ability to forecast accurately, regardless of what forecasting method you use. Autobox was awarded the "best-dedicated forecasting software" award in the Principles of Forecasting textbook. It is now a website. AFS's unique approach isn't to try to fit the data into one model or a limited set of models. This allows Autobox to combine history and causal in an optimal manner, including when necessary level shifts, pulses and seasonal pulses. Autobox gleans patterns from historical forecast errors, outliers and other data to discover new causal variables. Many cases lead to causal variables that you may not have known existed. i.e. Promotions, holidays, day-of-the week effects, and many other things.

Many companies need to be able to detect anomalies in their time series data. Timeseries Insights API Preview allows you to gain insights from your time-series data in real-time. You will find all the information you need to understand your API query result, including anomaly events, forecasted ranges of values and slices of events. Stream data in real time, allowing you to detect anomalies as they occur. Google Cloud's comprehensive infrastructure and defense-in depth approach to security has been innovating for more than 15 years. Timeseries Insights API, at its core, is fully integrated with other Google Cloud Storage service, giving you consistent access across storage products. You can detect trends and anomalies across multiple event dimensions. Handle large datasets containing tens to billions of events. Execute thousands of queries per second.

Baresquare has a three-part system of action that works with your lifestyle. Our 24/7 anomaly detector tracks site or campaign performance, and uncovers issues before they become a problem. You can get a simple overview of the incident. Now you know why something happened. Baresquare's dashboards alert team leaders with clear, prioritized actions based on the unique needs of your business. The Integrated Knowledge Base records all actions taken, allowing you to streamline workflows, track your progress, and get more out of your data - and your teams. You can promote or demote certain alerts according to your strategy. Finish tasks to teach the system how success looks. We use best-in-class SaaS Standards to support your business requirements securely and at scale. Our technology includes GDPR compliance tools specific to your data policies.

AI-powered anomaly detection for your business and root cause analysis. Avora uses machine learning to monitor your business metrics and alert you to important events so you can take action within hours instead of days or weeks. You can continuously analyze millions of records per minute for unusual behavior to uncover threats and opportunities in your company. Root cause analysis is a way to quickly and confidently identify the factors that are driving your business metrics upwards or downwards. Use our APIs to embed Avora's machine-learning capabilities and alerts in your own applications. Alerts about anomalies, trend changes, and thresholds can be sent via email, Slack or Microsoft Teams. Webhooks can also be used to send alerts to other platforms via Webhooks. You can share your insights with other team members. Invite others to track metrics and receive notifications in real time.

Time Machine®, software virtual clocks, allows you to time travel your apps into the future or past. This allows you to perform time shift testing on your date, time-sensitive logic, billing cycle, workflow and regulatory go live. Time Machine is transparent to databases and applications so code modifications are not required for time shift testing. The system clock is also never modified. Time Machine eliminates the need for a system clock reset, which can be time-consuming and error-prone. This is not possible under Active Directory or in Kerberos secured environments. Reduce the risk of mission-critical application failures. Large-scale software projects should be completed on time and within budget. Windows, Linux, Unix Mainframe zLinux Mainframe zLinux Dockerized Virtualized On-Iron or in the Cloud. Time Machine can be used wherever you need it.

TrendMiner is a Software AG company that forms part of the IoT & Analytics Division. It provides self-service data analytics to optimize processes in industries such as chemical and petrochemical, pharmaceutical, metals & mine, and other process manufacturing sectors. TrendMiner software is built on a high-performance, time-series analytics engine that allows users to directly question data without the assistance of data scientists. The software is easy to use and adds value immediately after deployment. This eliminates the need for costly infrastructure investments and lengthy implementation projects. Users can use search, diagnostic, and predictive capabilities to accelerate root cause analysis, identify optimal processes, and set up early warnings to monitor production. TrendMiner software allows team members to collect feedback and share knowledge across sites and teams.

Kibana is a free, open-source user interface that allows you to visualize your Elasticsearch data as well as navigate the Elastic Stack. You can track query load and understand how requests flow through your apps. Kibana allows you to choose how you want to present your data. Start with one question to see what interactive visualizations lead you. Kibana core ships the classics: histograms and line graphs, pie charts and pie charts, as well as sunbursts and sunbursts. You can also search across all your documents. Use Elastic Maps to explore your location data. Or get creative and visualize custom layers or vector shapes. Our curated time series interfaces allow you to perform advanced analysis of your Elasticsearch data. Use powerful, easy to learn expressions to describe queries, transformations, or visualizations.

Amazon Timestream is a fast, scalable and serverless time series data service for IoT/operational applications. It makes it possible to store and analyze trillions per day up to 1000 times faster than traditional relational databases and at as low as 1/10th of the cost. Amazon Timestream helps you save time and money when managing the lifecycles of time series data. It stores recent data in memory and moves historical data to a cost-optimized storage tier according to user defined policies. Amazon Timestream's purpose-built query tool allows you to access and analyze both recent and historic data simultaneously, without having to specify in the query whether the data is in the in-memory tier or the cost-optimized. Amazon Timestream's built-in time series analytics functions allow you to identify trends and patterns within your data in real-time.

Axibase Enterprise Manager (AER), a unified IT reporting tool for capacity planning and performance monitoring, is based on linked data. AER's linked data architecture allows it to provide reporting capabilities on top underlying monitoring systems simultaneously without copying the data. AER can be integrated with IBM Tivoli and Microsoft System Center Operations Manager. HP Openview and Performance Manager. BMC ProactiveNet. VMWare vCenter. Oracle Enterprise Manager. SAP HANA. NetApp OnCommand. WhatsUp. Dynatrace. Entuity. and other solutions. AER is also the universal adapter that allows integration with any monitoring system, custom data source, and other systems that support JDBC connectivity. AER provides a single point for IT infrastructure metrics that allows system administrators and support teams to automate and execute capacity planning and performance monitoring tasks.

Powerful computing at your fingertips. Parallel computing and innovative algorithms are available. What are you waiting for?! This tool is designed to empower data scientists in the business. You can get the fastest computing through an all-inclusive platform that covers time-series. Shapelets offers analytical features such as forecasting, clustering and motif discovery, discords, and causality. To make Big Data analysis more efficient, you can run, extend, and integrate your own algorithms in the Shapelets platform. Shapelets can be integrated seamlessly with any data storage and collection solution. It can also be integrated with MS Office and any other visualization software to simplify and share your insights without needing any technical knowledge. Interactive visualizations are possible because our UI integrates with the server. Our modern interface allows you to make the most out of your metadata and present it in the various visual graphs available. Shapelets allows users in the oil, gas, or energy industry to analyze operational data in real-time.

Plutoshift's Operational Data Platform, (ODP), provides automated performance monitoring and predictive analytics for physical infrastructure. This helps to improve efficiency, reduce waste, and build more resilient, sustainable businesses. The most difficult part of delivering value is often extracting and processing raw data. Plutoshift can ingest, process, and curate all your business and third-party data to create a foundation for insights. We automate and manage the entire data pipeline without additional IT resources. Plutoshift gives organizations a continuous view of their operations at every level, including site, enterprise, and workflow. Operators can see trends and key performance indicators for each process and asset. Teams can quickly identify and fix problems with configurable alerts, response tracking and contextual reports.