Alternatives to Dewesoft Historian

Open Automation Software IIoT platform Windows and Linux allows you to liberate your Industry4.0 data. OAS is an unlimited IoT Gateway that works with Windows, Linux, Raspberry Pi 4 and Windows IoT Core. It can also be used to deploy Docker containers. HMI visualizations for web, WPF, WinForm C#, and VB.NET applications. Log data and alarms to SQL Server and MS Access, SQL Server, Oracle and MS Access, MySQL and Azure SQL, PostgreSQL and Cassandra. MQTT Broker and Client interface, as well as cloud connectivity to Azure IoT Gateway and AWS IoT Gateway. Remote Excel Workbooks can be used to read and write data. Notifications of alarm sent to voice, SMS text and email. Access to programmatic information via REST API and.NET Allen Bradley ControlLogix and CompactLogix, GuardLogix. Micro800, MicroLogix. MicroLogix. SLC 500. PLC-5. Siemens S7-220, S7-3300, S7-405, S7-490, S7-1200, S7-1500, and S7-1500 Modbus TCP and Modbus RTU are Modbus ASCII and Modbus TCP for Master and Slave communication. OPTO-22, MTConnect and OPC UA, OPC DA.

Ignition SCADA from Inductive Automation®, combines unlimited licensing, instant web-based deployment and the industry-leading toolsets for supervisory control (SCADA) -- all in one open, scalable, universal platform. Ignition is the new SCADA. It solves all the major problems of old SCADA. Ignition allows your business to easily manage its processes and track, display, analyze, and report on all data. Ignition SCADA software includes a complete set of data acquisition tools, including OPC UA to connect almost any PLC and seamless connections to any SQL database. Ignition also converts any SQL database into an industrial historian. It also connects to IIoT devices via MQTT.

X-Force Historian is designed to capture and retain high-fidelity industrial big data, thereby unlocking potential for enhancements in operational efficiency. With its capacity to manage millions of tags, it offers robust capabilities to gather and preserve essential process data. You can monitor an individual process or oversee an entire facility seamlessly. Data can be stored locally while being aggregated at the enterprise level, effectively meeting even the most rigorous analysis and reporting needs. Historians document everything from immediate diagnostics to long-term records necessary for compliance with regulations. As a high-performance time series data historian, X-Force Historian can scale up to 100,000 tags and handle performance levels of up to 30,000 samples per second. This advanced process historian is adept at storing vast amounts of data produced by modern industrial facilities. Moreover, it facilitates quicker and more informed decision-making while ensuring that all stakeholders are updated on operational performance metrics. By utilizing X-Force Historian, organizations can enhance their data management strategies significantly.

AVEVA Historian streamlines the complex demands of data reporting and analysis. This powerful tool can be utilized to oversee either a single process or an entire facility, effectively storing data on-site while also consolidating information at a corporate level. By preventing the existence of various versions of plant operational data, it enhances productivity, minimizes errors, and cuts down on operating expenses. In contrast to traditional relational databases that struggle in production settings, Historian is specifically designed to manage time-series data alongside alarm and event data seamlessly. Its innovative “history block” technology records plant data significantly quicker than standard database systems while consuming only a small fraction of the typical storage space. Furthermore, Historian upholds the data integrity necessary to meet the highest standards of requirement. It adeptly handles low bandwidth data communications, accommodates delayed information, and processes data from systems that may have inconsistent clock settings. This ensures that high-resolution data is captured accurately every single time, contributing to reliable operational insights and decision-making.

It's time to move on from outdated clipboards and the monotonous transcription of essential plant performance metrics. The FactoryTalk® Historian software efficiently gathers operational process data from various sources at incredible speeds. This software provides an unparalleled degree of supervisory control, performance tracking, and quality assurance, with the capability to scale from individual machines to the entire enterprise. Recording time-series data at this speed would be unfeasible, even for the most energetic record keeper on the plant floor. The dashboards offered by FactoryTalk Historian simplify this process. Additionally, the enhanced ability to forecast trends using dependable data will boost productivity to new heights. With FactoryTalk Historian Site Edition (SE), no data across your plant and enterprise can remain concealed. Its redundancy and high availability guarantee uninterrupted access to vital plant information, ensuring your operations run smoothly without downtime. This transition to a more advanced system not only streamlines processes but also empowers your team to focus on strategic improvements.

The remarkable aspect of the Canary Historian is its versatility, functioning equally well on-site and across an entire organization. It allows for local data logging while simultaneously transmitting that data to your enterprise historian. Moreover, as your needs expand, the solution adapts seamlessly to accommodate growth. A single Canary Historian is capable of logging over two million tags, and by clustering multiple units, you can manage tens of millions of tags effortlessly. These enterprise historian solutions can be deployed in your own data centers or on cloud platforms like AWS and Azure. Additionally, contrary to many other enterprise historian options, Canary Historians do not necessitate large specialized teams for maintenance. Serving as a NoSQL time series database, the Canary Historian implements loss-less compression algorithms, delivering exceptional performance without the need for data interpolation, which is a significant advantage for users. This dual capability ensures that both speed and efficiency are maximized in data handling.

Proficy Historian stands out as a premier historian software solution designed to gather industrial time-series and A&E data at remarkable speeds, ensuring secure and efficient storage, distribution, and rapid access for analysis, ultimately enhancing business value. With a wealth of experience and a track record of thousands of successful implementations globally, Proficy Historian transforms how organizations operate and compete by making critical data accessible for analyzing asset and process performance. The latest version of Proficy Historian offers improved usability, configurability, and maintainability thanks to significant advancements in its architecture. Users can leverage the solution's powerful yet straightforward features to derive new insights from their equipment, process data, and business strategies. Additionally, the remote collector management feature enhances user experience, while horizontal scalability facilitates comprehensive data visibility across the enterprise, making it an essential tool for modern businesses. By adopting Proficy Historian, companies can unlock untapped potential and drive operational excellence.

Unlock the full potential of your enterprise's time-series data with the dataPARC Historian. This solution elevates data management, facilitating smooth and secure data flow across your organization. Its design ensures easy integration with AI, ML, and cloud technologies, paving the way for innovative adaptability and deeper insights. Rapid access to data, advanced manufacturing intelligence, and scalability make dataPARC Historian the optimal choice for businesses striving for excellence in their operations. It's not just about storing data; it's about transforming data into actionable insights with speed and precision. The dataPARC Historian stands out as more than just a repository for data. It empowers enterprises with the agility to use time-series data more effectively, ensuring decisions are informed and impactful, backed by a platform known for its reliability and ease of use.

Operators utilizing an established SCADA system can leverage the eLynx Data Historian service, granting users access to mobile applications, insightful data visualizations, and advanced data analysis and integration features. The eLynx data snapshot client facilitates the automatic extraction, transformation, and loading (ETL) of data from existing systems. Additionally, SCADA data can be transmitted to the eLynx Azure IoT Hub via MQTT, enhancing connectivity. Some SCADA systems support bidirectional communication, enabling users to send commands back to the internal SCADA system through MQTT. The application allows for customization of user interfaces, ensuring that users can have tailored experiences based on their roles. Role-based security measures are in place for field operators, office workers, and third-party users to maintain data integrity. Users have the ability to generate their own views, trends, and reports, which they can choose to share with others or keep confidential. To streamline access to information, users can personalize their experience by setting their own home page, favorites, and default views, making it simpler to navigate to essential data. This level of customization fosters a more efficient workflow, enabling users to focus on the information that matters most to them.

ICONICS’ Hyper Historian™ stands out as a sophisticated 64-bit historian renowned for its high-speed performance, reliability, and robustness, making it ideal for critical applications. This historian employs a state-of-the-art high compression algorithm that ensures exceptional efficiency while optimizing resource utilization. It seamlessly integrates with an ISA-95-compliant asset database and incorporates cutting-edge big data tools such as Azure SQL, Microsoft Data Lakes, Kafka, and Hadoop. Consequently, Hyper Historian is recognized as the premier real-time plant historian specifically tailored for Microsoft operating systems, offering unmatched security and efficiency. Additionally, Hyper Historian features a module that allows for both automatic and manual data insertion, enabling users to transfer historical or log data from various databases, other historians, or even intermittently connected field devices. This capability significantly enhances the reliability of data capture, ensuring that information is recorded accurately despite potential network disruptions. By harnessing rapid data collection, organizations can achieve comprehensive enterprise-wide storage solutions that drive operational excellence. Ultimately, Hyper Historian empowers users to maintain continuity and integrity in their data management processes.

The Data Historian team at Zenith Technologies focuses on creating comprehensive Data Historian systems that gather, store, analyze, and present data from various sources on the plant floor and within business operations, empowering clients with real-time insights into their manufacturing processes. Our manufacturing intelligence specialists utilize the OSIsoft PI Data Historian, a leading tool in the industry, and possess advanced skills in areas like data integration, warehousing, and visualization. We offer a wide array of services, from system setup and installation to developing detailed reports and data visualizations. With extensive experience in configuring and maintaining Plant Historian systems, our engineers help clients foster behavioral changes, enhance decision-making, and ensure regulatory compliance. Our team comprises seasoned professionals who have successfully implemented historian solutions in the pharmaceutical and GxP sectors, demonstrating our commitment to excellence in this specialized field. This extensive expertise allows us to cater to the unique needs of our clients and provide tailored solutions that drive operational efficiency and success.

InfluxDB is a purpose-built data platform designed to handle all time series data, from users, sensors, applications and infrastructure — seamlessly collecting, storing, visualizing, and turning insight into action. With a library of more than 250 open source Telegraf plugins, importing and monitoring data from any system is easy. InfluxDB empowers developers to build transformative IoT, monitoring and analytics services and applications. InfluxDB’s flexible architecture fits any implementation — whether in the cloud, at the edge or on-premises — and its versatility, accessibility and supporting tools (client libraries, APIs, etc.) make it easy for developers at any level to quickly build applications and services with time series data. Optimized for developer efficiency and productivity, the InfluxDB platform gives builders time to focus on the features and functionalities that give their internal projects value and their applications a competitive edge. To get started, InfluxData offers free training through InfluxDB University.

DataHUB+ is a next-generation process data historian and visualization platform. Monitor assets and systems across a network in real time, and obtain rapid insights with in-built analytics and visualization tools, to see what is happening in any facility, plant, or system at any time. DataHUB+ is equipment and sensor agnostic, and can easily import data from any IoT device or sensor, regardless if it is structured or unstructured. As a result, DataHUB+ quickly becomes the source of truth, storing all operational data securely and reliably. The platform automatically checks data quality before it is ingested and alerts teams if there are any problems. DataHUB+ does not rely on costly IT infrastructure like traditional process historians, and is easily scalable to support enterprise data management needs. The platform can be used seamlessly with VROC's AI solution OPUS, for forecasting, predictive maintenance and advanced analytics. Eliminate data silos and data wrangling in your organization, and start improving data-led decision making. Gain insights into your operations with DataHUB+.

Fernhill SCADA is a scalable SCADA offer based on a client server architecture. Easy to use and setup. Drivers for all commonly used PLCs and open protocols BACnet, DNP3, Modbus. Includes open data access interfaces OPC UA, OPC Classic, ODBC, MQTT. Historian and trending are built-in. Operators can use Fernhill SCADA on multiple platforms including Windows, Linux, macOS, Android and iOS. Free runtime - deploy any number of SCADA systems with one low cost developer license.

In today's business landscape, information serves as a vital resource. For utilities to maintain a sustainable edge over competitors, it is imperative that they can swiftly adapt to evolving conditions. The ability to make decisions and take action promptly is crucial for enhancing both quality and productivity. A major challenge lies in the efficient collection, transformation, and dissemination of trustworthy information. Ensuring accessible and adaptable data is fundamental for making informed operational and strategic decisions. Each user group, including operators, managers, engineers, and maintenance supervisors, has distinct needs and preferences regarding information presentation. S+ Operations offers a comprehensive information management system that supports efficiency and profitability across all levels of an organization. This system allows users to view both real-time data and historical insights simultaneously within a single interface. Its design is fully redundant and features a flexible architecture to meet various customer requirements. Additionally, the historian server incorporated is one of the most powerful, seamlessly integrating process data for enhanced analysis and decision-making. Ultimately, the integration of these capabilities empowers organizations to thrive in a dynamic market.

Turn data clarity into clear insights Factry Historian, an easy-to-use and powerful data management platform for collecting and storing industrial process data, is available. Our historian software will allow your business to transform raw production data in actionable visual insights, reduce downtime, save costs, and improve overall plant performance. You're likely surrounded by process data as an operations manager or plant manager. Data is often scattered over multiple systems, Excel sheets or paper. It is difficult to compare batches, determine process anomalies, or aggregate parameters. Select simple parameters to run complex queries on asset data. Advanced insights are available instantly. Replace complicated integration scripts by a generic, configurable solution that plugs directly into any BI tool.

Graphite is a robust monitoring solution suitable for both budget-friendly hardware and cloud environments, making it an attractive choice for various teams. Organizations utilize Graphite to monitor the performance metrics of their websites, applications, business services, and server networks effectively. This tool initiated a new wave of monitoring technologies, simplifying the processes of storing, retrieving, sharing, and visualizing time-series data. Originally developed in 2006 by Chris Davis while working at Orbitz as a side project, Graphite evolved into their core monitoring solution over time. In 2008, Orbitz made the decision to release Graphite under the open-source Apache 2.0 license, broadening its accessibility. Many prominent companies have since integrated Graphite into their production environments to oversee their e-commerce operations and strategize for future growth. The data collected is processed through the Carbon service, which subsequently stores it in Whisper databases for long-term retention and analysis, ensuring that key performance indicators are always available for review. This comprehensive approach to monitoring empowers organizations to make data-driven decisions while scaling their operations.

For each device to effectively enhance the overall intelligence of a facility, it is crucial that it can interface with external systems. Therefore, recognizing and fine-tuning the speed, volume, and security levels of these data exchanges is vital for maintaining the system's coherence. A streamlined communication process guarantees that all these criteria are fulfilled by employing suitable protocols and standards for communication. Additionally, if your facility necessitates real-time oversight of essential data or aims to boost performance, investing in the right communication tools and a resilient infrastructure becomes imperative. This is because data needs to continuously flow between diverse ground devices and an industrial information system, which often demands the integration of various communication protocols, ensuring their data is readily accessible to the SCADA system. Ultimately, the coordination of these elements is essential for optimizing the plant's operational efficiency and responsiveness.

The PI System unveils operational insights and opens up new avenues for innovation. By facilitating digital transformation, the PI System harnesses reliable, high-quality operational data to drive progress. It allows for data collection, enhancement, and real-time delivery from any location. This empowers both engineers and operators alike, while also speeding up the efforts of analysts and data scientists. Furthermore, it creates opportunities for new business ventures. The system is capable of gathering real-time data from a multitude of assets, including legacy systems, proprietary technologies, remote devices, mobile units, and IIoT devices. With the PI System, your data becomes accessible regardless of its location or format. It enables the storage of decades of data with sub-second precision, offering you immediate access to high-fidelity historical, real-time, and predictive data crucial for maintaining essential operations and gaining valuable business insights. By incorporating intuitive labels and metadata, the system enhances the meaning of data. You can also establish data hierarchies that mirror your operational and reporting structures. With the addition of context, data points transform from mere numbers into a comprehensive narrative that encompasses the entire picture, allowing informed decision-making. This holistic view ultimately leads to more strategic planning and operational excellence.

Kapacitor serves as a dedicated data processing engine for InfluxDB 1.x and is also a core component of the InfluxDB 2.0 ecosystem. This powerful tool is capable of handling both stream and batch data, enabling real-time responses through its unique programming language, TICKscript. In the context of contemporary applications, merely having dashboards and operator alerts is insufficient; there is a growing need for automation and action-triggering capabilities. Kapacitor employs a publish-subscribe architecture for its alerting system, where alerts are published to specific topics and handlers subscribe to these topics for updates. This flexible pub/sub framework, combined with the ability to execute User Defined Functions, empowers Kapacitor to function as a pivotal control plane within various environments, executing tasks such as auto-scaling, stock replenishment, and managing IoT devices. Additionally, Kapacitor's straightforward plugin architecture allows for seamless integration with various anomaly detection engines, further enhancing its versatility and effectiveness in data processing.

TimescaleDB is the most popular open-source relational database that supports time-series data. Fully managed or self-hosted. You can rely on the same PostgreSQL that you love. It has full SQL, rock-solid reliability and a huge ecosystem. Write millions of data points per node. Horizontally scale up to petabytes. Don't worry too much about cardinality. Reduce complexity, ask more questions and build more powerful applications. You will save money with 94-97% compression rates using best-in-class algorithms, and other performance improvements. Modern cloud-native relational database platform that stores time-series data. It is based on PostgreSQL and TimescaleDB. This is the fastest, easiest, and most reliable way to store all of your time-series information. All observability data can be considered time-series data. Time-series problems are those that require efficient solutions to infrastructure and application problems.

Designed specifically for optimizing compute, memory, and storage, Oxla serves as a self-hosted data warehouse that excels in handling large-scale, low-latency analytics while providing strong support for time-series data. While cloud data warehouses may suit many, they are not universally applicable; as operations expand, the ongoing costs of cloud computing can surpass initial savings on infrastructure, particularly in regulated sectors that demand comprehensive data control beyond mere VPC and BYOC setups. Oxla surpasses both traditional and cloud-based warehouses by maximizing efficiency, allowing for the scalability of expanding datasets with predictable expenses, whether on-premises or in various cloud environments. Deployment, execution, and maintenance of Oxla can be easily managed using Docker and YAML, enabling a range of workloads to thrive within a singular, self-hosted data warehouse. In this way, Oxla provides a tailored solution for organizations seeking both efficiency and control in their data management strategies.

Sider Scan is an incredibly efficient tool specifically designed for software developers to swiftly detect and monitor issues related to code duplication. It integrates seamlessly with platforms such as GitLab CI/CD, GitHub Actions, Jenkins, and CircleCI®, and offers installation through a Docker image. The tool facilitates easy sharing of analysis results among team members and conducts continuous, rapid assessments that operate in the background. Users also benefit from dedicated support via email and phone, which enhances their overall experience. By providing comprehensive analyses of duplicate code, Sider Scan significantly improves long-term code quality and maintenance practices. It is engineered to work in tandem with other analysis tools, enabling development teams to create more refined code while supporting a continuous delivery workflow. The tool identifies duplicate code segments within a project and organizes them into groups. For every pair of duplicates, a diff library is generated, and pattern analyses are launched to uncover any potential issues. This process is known as the 'pattern' analysis method. Furthermore, to enable time-series analysis, it is crucial that the scans are executed at regular intervals, ensuring consistent monitoring over time. By encouraging routine evaluations, Sider Scan empowers teams to maintain high coding standards and proactively address duplications.

OpenTSDB comprises a Time Series Daemon (TSD) along with a suite of command line tools. Users primarily engage with OpenTSDB by operating one or more independent TSDs, as there is no centralized master or shared state, allowing for the scalability to run multiple TSDs as necessary to meet varying loads. Each TSD utilizes HBase, an open-source database, or the hosted Google Bigtable service for the storage and retrieval of time-series data. The schema designed for the data is highly efficient, enabling rapid aggregations of similar time series while minimizing storage requirements. Users interact with the TSD without needing direct access to the underlying storage system. Communication with the TSD can be accomplished through a straightforward telnet-style protocol, an HTTP API, or a user-friendly built-in graphical interface. To begin utilizing OpenTSDB, the initial task is to send time series data to the TSDs, and there are various tools available to facilitate the import of data from different sources into OpenTSDB. Overall, OpenTSDB's design emphasizes flexibility and efficiency for time series data management.

RDS for MySQL, or Relational Database Service for MySQL, offers a robust and reliable cloud-based relational database solution designed for high performance. This service features an intuitive web interface for management, comprehensive data backup and recovery options, and extensive security management and monitoring capabilities. RDS for MySQL caters to various needs with its three available series: the basic stand-alone version, the dual high-availability version, and the Raft financial version. By default, it complies with standard database protocols and incorporates essential functionalities such as monitoring, automatic failover, data backup and recovery, and instance management. Additionally, it addresses customers’ advanced data management and storage needs through tools like slow SQL statistics and diagnosis, along with dependable services like cross-domain hot instance groups. It also enables disaster recovery within a single availability zone as well as across multiple zones, ensuring maximum data protection and availability. This comprehensive suite of features makes RDS for MySQL an optimal choice for businesses seeking efficient database management solutions.

At the core of our innovative approach lies in-data computing, a cutting-edge technology aimed at efficiently processing substantial volumes of data. Our leading product, BigObject, is a prime example of this technology; it is a time series database purposefully created to enable rapid storage and management of vast data sets. Leveraging in-data computing, BigObject has the capability to swiftly and continuously address diverse data streams without interruption. This time series database excels in both high-speed storage and data analysis, showcasing remarkable performance alongside robust complex query functionalities. By transitioning from a traditional relational data structure to a time-series model, it harnesses in-data computing to enhance overall database efficiency. The foundation of our technology is an abstract model, wherein all data resides within an infinite and persistent memory space, facilitating seamless storage and computation. This unique architecture not only optimizes performance but also paves the way for future advancements in data processing capabilities.

Machbase is a leading time-series database designed for real-time storage and analysis of vast amounts of sensor data from various facilities. It stands out as the only database management system (DBMS) capable of processing and analyzing large datasets at remarkable speeds, showcasing its impressive capabilities. Experience the extraordinary processing speeds that Machbase offers! This innovative product allows for immediate handling, storage, and analysis of sensor information. It achieves rapid storage and querying of sensor data by integrating the DBMS directly into Edge devices. Additionally, it provides exceptional performance in data storage and extraction when operating on a single server. With the ability to configure multi-node clusters, Machbase offers enhanced availability and scalability. Furthermore, it serves as a comprehensive management solution for Edge computing, addressing device management, connectivity, and data handling needs effectively. In a fast-paced data-driven world, Machbase proves to be an essential tool for industries relying on real-time sensor data analysis.

Incorporate AI-driven monitoring capabilities to proactively manage incidents without needing expertise in machine learning. With Azure AI Metrics Advisor, which leverages AI Anomaly Detector and is part of Azure AI Services, you can oversee the performance of crucial aspects of your organization, such as sales and manufacturing operations. This tool enables rapid identification and resolution of issues through a robust set of features that includes near-real-time monitoring, model adaptation to your specific circumstances, and detailed diagnostics alongside alerting mechanisms. The AI Metrics Advisor interface simplifies end-to-end data monitoring management, seamlessly integrating with popular time-series databases and offering support for stream monitoring. Every dimension combination is thoroughly examined to identify impacted areas for root-cause analysis and alerts are dispatched promptly. Additionally, the platform includes a guided autotuning feature that allows for service customization tailored to your individual requirements, ensuring optimal performance. This comprehensive monitoring solution empowers organizations to enhance their operational efficiencies while minimizing downtime.

Prepare to embark on a transformative journey in the realm of Industrial IoT! Enhance your organization's efficiency, sustainability, quality, and safety by leveraging real-time actionable insights. Effortlessly and without vendor restrictions, gather energy and operational data from a multitude of sources. By employing object-oriented data models in NoSQL data management frameworks, you can achieve significantly improved performance for time-series data storage. Oversee, configure, and manage vast networks of sensors and gateways in the field, while automating rules and monitoring sensor health. Harness powerful cloud-based analytical tools to operationalize your data, converting it into valuable insights. You can either create your own applications or select from numerous pre-built energy solutions tailored to your organization's unique requirements. Moreover, a virtual energy management service empowers you to make timely decisions, leading to optimal actions that maximize your value proposition. This new approach not only streamlines processes but also fosters a culture of innovation and adaptability within your enterprise.

The Exchange Rates API is a straightforward and efficient free service that provides both current and historical rates for foreign currencies and cryptocurrencies. It offers reliable and up-to-date EU VAT rates, which are obtained directly from the databases of the European Commission. Designed to accommodate thousands of requests per second, the Exchange Rates API has undergone rigorous testing and is continuously monitored for performance. Users can seamlessly integrate it with their preferred libraries that they already utilize regularly. With guarantees on availability and the ability to scale seamlessly, the API delivers responses in mere milliseconds. The currency data supplied is sourced from reputable financial data providers and banks, including the European Central Bank, ensuring accuracy and reliability. Additionally, the API features distinct endpoints tailored for individual currency conversions and time-series data analysis, making it versatile for various applications. Consequently, it provides a comprehensive solution for developers and businesses looking to integrate currency data efficiently.

Anticipate issues before they arise by utilizing an Azure AI anomaly detection service. This service allows for the seamless integration of time-series anomaly detection features into applications, enabling users to quickly pinpoint problems. The AI Anomaly Detector processes various types of time-series data and intelligently chooses the most effective anomaly detection algorithm tailored to your specific dataset, ensuring superior accuracy. It can identify sudden spikes, drops, deviations from established patterns, and changes in trends using both univariate and multivariate APIs. Users can personalize the service to recognize different levels of anomalies based on their needs. The anomaly detection service can be deployed flexibly, whether in the cloud or at the intelligent edge. With a robust inference engine, the service evaluates your time-series dataset and automatically determines the ideal detection algorithm, enhancing accuracy for your unique context. This automatic detection process removes the necessity for labeled training data, enabling you to save valuable time and concentrate on addressing issues promptly as they arise. By leveraging advanced technology, organizations can enhance their operational efficiency and maintain a proactive approach to problem-solving.

Detecting anomalies in time series data is critical for the daily functions of numerous organizations. The Timeseries Insights API Preview enables you to extract real-time insights from your time-series datasets effectively. It provides comprehensive information necessary for interpreting your API query results, including details on anomaly occurrences, projected value ranges, and segments of analyzed events. This capability allows for the real-time streaming of data, facilitating the identification of anomalies as they occur. With over 15 years of innovation in security through widely-used consumer applications like Gmail and Search, Google Cloud offers a robust end-to-end infrastructure and a layered security approach. The Timeseries Insights API is seamlessly integrated with other Google Cloud Storage services, ensuring a uniform access method across various storage solutions. You can analyze trends and anomalies across multiple event dimensions and manage datasets that encompass tens of billions of events. Additionally, the system is capable of executing thousands of queries every second, making it a powerful tool for real-time data analysis and decision-making. Such capabilities are invaluable for businesses aiming to enhance their operational efficiency and responsiveness.

The service is user-friendly, requiring no driver installations, and the entire migration can be set up through the management console in just a few minutes. It allows your source database to remain operational, significantly reducing the downtime for the applications that rely on it. In case of any issues, the service automatically restarts jobs, and if it cannot resume from the intended point in time, it will revert to the last completed migration stage. This service facilitates the migration of databases from various cloud platforms or local databases to Yandex's cloud-managed database services. To initiate a transfer, you simply begin the process of sending data between two specified endpoints. Each endpoint is equipped with the configurations for both the source database, from which data will be extracted, and the target database, where the data will be sent. Additionally, the Yandex Data Transfer service supports multiple types of transfers between these source and target endpoints, making it a versatile solution for database migration needs. This flexibility ensures that users can choose the most suitable transfer method for their specific requirements.

Checkmk is an IT monitoring system that allows system administrators, IT managers and DevOps teams, to quickly identify and resolve issues across their entire IT infrastructure (servers and applications, networks, storage and databases, containers, etc. Checkmk is used daily by more than 2,000 commercial customers worldwide and many other open-source users. Key product features * Service state monitoring with nearly 2,000 checks 'outside the box' * Event-based and log-based monitoring * Metrics, dynamic Graphing, and Long-Term Storage * Comprehensive reporting incl. Accessibility and SLAs * Flexible notifications and automated alert handling * Monitoring business processes and complex systems * Software and hardware inventory * Graphical, rule-based configuration and automated service discovery These are the top use cases * Server Monitoring * Network Monitoring * Application Monitoring * Database Monitoring * Storage Monitoring * Cloud Monitoring * Container Monitoring

KDB.AI serves as a robust knowledge-centric vector database and search engine, enabling developers to create applications that are scalable, dependable, and operate in real-time by offering sophisticated search, recommendation, and personalization features tailored for AI needs. Vector databases represent an innovative approach to data management, particularly suited for generative AI, IoT, and time-series applications, highlighting their significance, distinctive characteristics, operational mechanisms, emerging use cases, and guidance on how to begin utilizing them effectively. Additionally, understanding these elements can help organizations harness the full potential of modern data solutions.

Analyzing time-series data is crucial for the daily functions of numerous businesses. Common applications involve assessing consumer foot traffic and conversion rates for retailers, identifying anomalies in data, discovering real-time correlations within sensor information, and producing accurate recommendations. With the Cloud Inference API Alpha, businesses can derive real-time insights from their time-series datasets that they input. This tool provides comprehensive details about API query results, including the various groups of events analyzed, the total number of event groups, and the baseline probability associated with each event returned. It enables real-time streaming of data, facilitating the computation of correlations as events occur. Leveraging Google Cloud’s robust infrastructure and a comprehensive security strategy that has been fine-tuned over 15 years through various consumer applications ensures reliability. The Cloud Inference API is seamlessly integrated with Google Cloud Storage services, enhancing its functionality and user experience. This integration allows for more efficient data handling and analysis, positioning businesses to make informed decisions faster.

The Environmental Management system we offer is exceptionally suited for Ministries focused on Agriculture, Natural Resources, and the Environment. It adeptly handles Geospatial Information, time-series data, licenses, permits, applications, and ensures the integrity of quality data pertaining to water, land, and air. The EDAMS Government Environmental Management system is particularly beneficial for these sectors, as it streamlines the management of essential data. By facilitating integration at various levels—database, business process, and transaction—it effectively prevents data duplication and supports demand management. Additionally, EDAMS products feature an embedded GIS while also providing seamless access to ESRI ArcGIS, Quantum GIS (QGIS), and SuperMap GIS. Furthermore, the modular design of the EDAMS system allows for scalable implementation, making it adaptable to the evolving needs and capacity growth of the organization. This flexibility ensures that as the organization's requirements expand, the system can grow alongside them, maintaining efficiency and effectiveness.

VictoriaMetrics Anomaly Detection, a service which continuously scans data stored in VictoriaMetrics to detect unexpected changes in real-time, is a service for detecting anomalies in data patterns. It does this by using user-configurable models of machine learning. VictoriaMetrics Anomaly Detection is a key tool in the dynamic and complex world system monitoring. It is part of our Enterprise offering. It empowers SREs, DevOps and other teams by automating the complex task of identifying anomalous behavior in time series data. It goes beyond threshold-based alerting by utilizing machine learning to detect anomalies, minimize false positives and reduce alert fatigue. The use of unified anomaly scores and simplified alerting mechanisms allows teams to identify and address potential issues quicker, ensuring system reliability.

PipelineDB serves as an extension to PostgreSQL, facilitating efficient aggregation of time-series data, tailored for real-time analytics and reporting applications. It empowers users to establish continuous SQL queries that consistently aggregate time-series information while storing only the resulting summaries in standard, searchable tables. This approach can be likened to highly efficient, automatically updated materialized views that require no manual refreshing. Notably, PipelineDB avoids writing raw time-series data to disk, significantly enhancing performance for aggregation tasks. The continuous queries generate their own output streams, allowing for the seamless interconnection of multiple continuous SQL processes into complex networks. This functionality ensures that users can create intricate analytics solutions that respond dynamically to incoming data.

Altair Panopticon Streaming Analytics allows engineers and business users to create, modify, and deploy advanced event processing and data visualization apps with a drag and drop interface. They can connect to any data source, including streaming feeds and time-series database, and develop stream processing programs. They can also design visual user interfaces to give them the perspective they need to make informed decisions based upon large amounts of rapidly changing data.

It can be difficult to manage document storage. It is not only important to ensure documents are safe, but also to allow the right users to quickly access them. These are just a few of the challenges. Business-critical emails arrive at an increasing rate. This means that crucial data can become lost or uncontrolled in individual users' inboxes. Invu Document Management software can index and store almost any type of document and is customizable, compliant, and fully text-searchable. It is the ideal solution for managing the large amount of documentation in your organization and reducing dependence on paper documents. Invu Document Management is a flexible solution that integrates with your existing Microsoft and business software. Microsoft Office allows you to import documents electronically and can also scan in emails with attachments or paper documents quickly.

Our Bulletin 9309 Emonitor® software for condition monitoring collaborates with both our monitors and portable data collectors to facilitate the initiation and maintenance of a predictive maintenance program based on condition. This software presents a wide range of tools aimed at long-term trending, plotting, and alarming functions, enabling the detection of early signs of potential machine issues. It also allows users to automate data collection from multiple 1444 series or 1440 series monitors and machines efficiently. Furthermore, it is compatible with Dynamix 2500 and Enpac 2500 Data Collectors, enhancing its utility. The software enables seamless data import and export with any OPC server, alongside essential tools for identifying alarming conditions and fault frequencies. With fully customizable and pre-configured plot views, users can tailor their experience to meet specific needs. Additionally, generating reports is straightforward, making it easier for users to analyze their data. Explore the Emonitor interface to discover the extensive functionalities this software has to offer, empowering users with the insights needed for effective maintenance strategies.

The ITTIA DB suite brings together advanced features for time series, real-time data streaming, and analytics tailored for embedded systems, ultimately streamlining development processes while minimizing expenses. With ITTIA DB IoT, users can access a compact embedded database designed for real-time operations on resource-limited 32-bit microcontrollers (MCUs), while ITTIA DB SQL serves as a robust time-series embedded database that operates efficiently on both single and multicore microprocessors (MPUs). These ITTIA DB offerings empower devices to effectively monitor, process, and retain real-time data. Additionally, the products are specifically engineered to meet the needs of Electronic Control Units (ECUs) within the automotive sector. To ensure data security, ITTIA DB incorporates comprehensive protection mechanisms against unauthorized access, leveraging encryption, authentication, and the DB SEAL feature. Furthermore, ITTIA SDL adheres to the standards set forth by IEC/ISO 62443, reinforcing its commitment to safety. By integrating ITTIA DB, developers can seamlessly collect, process, and enhance incoming real-time data streams through a specialized SDK designed for edge devices, allowing for efficient searching, filtering, joining, and aggregating of data right at the edge. This comprehensive approach not only optimizes performance but also supports the growing demand for real-time data handling in today's technology landscape.

Chameleon-i stands out as one of the most adaptable recruitment database solutions available today. Our platform encompasses everything necessary for managing temporary, contract, and permanent recruitment processes across various market sectors. Regardless of your organization's size, we deliver a quick and secure permanent recruitment solution that gives you a distinct edge over competing systems. There are no setup fees or lengthy contracts, allowing your recruitment business to launch immediately. Our online support ensures a seamless experience, making the process as straightforward as possible. With no initial costs and no binding agreements, Chameleon-i's Permanent recruitment software is tailored to meet all your recruitment requirements. Additionally, our dedicated in-house support team will not only guide you through a comprehensive demonstration of the system but will also provide ongoing assistance to ensure you operate flawlessly from day one. This commitment to support reinforces our mission to empower your recruitment efforts efficiently and effectively.

Blueflood is an advanced distributed metric processing system designed for high throughput and low latency, operating as a multi-tenant solution that supports Rackspace Metrics. It is actively utilized by both the Rackspace Monitoring team and the Rackspace public cloud team to effectively manage and store metrics produced by their infrastructure. Beyond its application within Rackspace, Blueflood also sees extensive use in large-scale deployments documented in community resources. The data collected through Blueflood is versatile, allowing users to create dashboards, generate reports, visualize data through graphs, or engage in any activities that involve analyzing time-series data. With a primary emphasis on near-real-time processing, data can be queried just milliseconds after it is ingested, ensuring timely access to information. Users send their metrics to the ingestion service and retrieve them from the Query service, while the system efficiently handles background rollups through offline batch processing, thus facilitating quick responses for queries covering extended time frames. This architecture not only enhances performance but also ensures that users can rely on rapid access to their critical metrics for effective decision-making.

SurrealDB provides a versatile and flexible platform tailored for businesses. With a comprehensive array of advanced database solutions, tools, and services, SurrealDB enables teams to uncover creative solutions through products specifically designed to align with their needs. The query language utilized by SurrealDB bears a resemblance to traditional SQL, yet it is capable of handling time-series and interconnected graph data with ease. SurrealQL is a sophisticated query language that incorporates programming language features, empowering developers and data analysts to engage with SurrealDB in a manner that suits their preferences. Users can connect directly to SurrealDB from any client device, allowing them to execute SurrealQL queries straight within web browsers, which ensures that data access remains secure and permissions are upheld. The platform boasts highly efficient WebSocket connections that facilitate seamless bi-directional communication for queries, responses, and real-time notifications, enhancing the overall user experience. This ability to maintain constant connectivity and responsiveness sets SurrealDB apart in the realm of database solutions.

Amazon FSx for Lustre is a fully managed service designed to deliver high-performance and scalable storage solutions tailored for compute-heavy tasks. Based on the open-source Lustre file system, it provides remarkably low latencies, exceptional throughput that can reach hundreds of gigabytes per second, and millions of input/output operations per second, making it particularly suited for use cases such as machine learning, high-performance computing, video processing, and financial analysis. This service conveniently integrates with Amazon S3, allowing users to connect their file systems directly to S3 buckets. Such integration facilitates seamless access and manipulation of S3 data through a high-performance file system, with the added capability to import and export data between FSx for Lustre and S3 efficiently. FSx for Lustre accommodates various deployment needs, offering options such as scratch file systems for temporary storage solutions and persistent file systems for long-term data retention. Additionally, it provides both SSD and HDD storage types, enabling users to tailor their storage choices to optimize performance and cost based on their specific workload demands. This flexibility makes it an attractive choice for a wide range of industries that require robust storage solutions.

Enhance your organization's security with real-time insights into service accounts while safeguarding access to vital resources. Crafted by experienced cybersecurity professionals, the Anetac identity and security platform shields against vulnerabilities exploited through service accounts. By transforming the landscape of cybersecurity, it offers continuous visibility into service accounts, addressing gaps and adapting to the ever-changing requirements of organizations, unlike traditional static solutions. This platform tackles widespread challenges faced by various industries, including inadequately monitored or entirely unmonitored service accounts, APIs, tokens, and access keys. With its capability for real-time streaming visibility of non-human and shared multi-use service accounts, it effectively removes blind spots and elevates security standards. The system also maps access chains, shedding light on the intricate connections between service accounts, critical resources, business applications, and operational processes. Furthermore, it employs automated, classification-driven AI behavior analysis paired with time-series data, ensuring comprehensive oversight and proactive threat detection. This innovative approach positions organizations to respond rapidly to emerging security challenges, reinforcing their overall defense strategy.

Introducing a robust cross-platform columnar database designed for high-performance historical time-series data, which includes: - A compute engine optimized for in-memory operations - A streaming processor that functions in real time - A powerful query and programming language known as q Kdb+ drives the kdb Insights portfolio and KDB.AI, offering advanced time-focused data analysis and generative AI functionalities to many of the world's top enterprises. Recognized for its unparalleled speed, kdb+ has been independently benchmarked* as the leading in-memory columnar analytics database, providing exceptional benefits for organizations confronting complex data challenges. This innovative solution significantly enhances decision-making capabilities, enabling businesses to adeptly respond to the ever-evolving data landscape. By leveraging kdb+, companies can gain deeper insights that lead to more informed strategies.

Our flexible modular design allows you to tailor your infrastructure to match the specific demands of your workload, ensuring operational efficiency and a predictable total cost of ownership. With data growth reaching unprecedented rates, the ability to expand your storage quickly and affordably has become essential. Regardless of whether you opt for traditional spinning disks, SSDs, NVMe, or a hybrid solution, the Cisco UCS S-Series enables you to scale up to petabytes in just minutes. As new applications continue to challenge performance thresholds by shifting data closer to computing resources, a dual server node setup utilizing 2nd Gen Intel® Xeon® Scalable processors offers an ideal mix of computational power and storage capacity. Investing wisely in technology can yield substantial long-term advantages, enhancing your business's agility and responsiveness. The Cisco UCS S-Series is designed for maximum investment protection, featuring a multi-generational system architecture that offers the adaptability to meet your specific needs while accommodating future growth. In this rapidly evolving landscape, choosing the right technology is crucial to maintaining a competitive edge.