Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Live air quality data updates from the Queensland Governments air monitoring network updated hourly and published in XML format.
The data used to compile this air quality information comes directly from the department's air monitoring network and has only undergone a preliminary quality check.
If there is no data measured for a parameter, or data could not be retrieved from the monitoring station at this hour, no data will be shown.
Only data for the current hour is available through the live data feed.
Live disaster management data feeds showing information such as road closures and the location of vital services.
These data are a subset of the WaveNet near real time data feed, consisting of telemetry (automatically transmitted data) from the Cefas operated Directional Wave Riders (DWR) within UK waters over the past 48 hours. As this is a near-live feed, the data provided have not been fully quality checked or assured and hence should be used with due caution.
Learn how defense and intelligence users can leverage ArcGIS GeoEvent Server and ArcGIS GeoAnalytics Server to connect to real-time data feeds and run analytics on the stored data. From tracking units in the field to analyzing intelligence feeds and weather, ArcGIS GeoEvent Server enables users to stay current on what is happening. When you want to analyze massive amounts of stored track and report data, ArcGIS GeoAnalytics Server uses distributed computing to return spatiotemporal insight helping you make better planning decisions.
https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy
According to our latest research for 2024, the global sports data low-latency feed market size stands at USD 1.47 billion. The market is experiencing robust growth, propelled by the increasing demand for real-time data delivery across various sports-related applications. The market is set to expand at a CAGR of 18.2% during the forecast period, reaching an estimated USD 6.45 billion by 2033. This growth is primarily driven by the rapid adoption of digital transformation in the sports industry, the surge in sports betting activities, and the proliferation of live streaming and fantasy sports platforms. As per our latest research, the sports data low-latency feed market is positioned for significant evolution, with technological advancements and increasing integration of artificial intelligence playing pivotal roles in shaping the industry landscape.
A major growth factor for the sports data low-latency feed market is the escalating demand for instant access to accurate sports information. With the rise of live sports broadcasting and the surge in in-play betting, stakeholders across the sports ecosystem require ultra-fast data feeds to ensure timely and precise delivery of critical match events, player statistics, and video content. This demand is further amplified by the expectations of modern sports fans, who seek real-time engagement and interactive experiences through various digital platforms. The integration of advanced data analytics and machine learning algorithms has enabled providers to deliver highly reliable and actionable insights, thereby enhancing the value proposition for end-users such as broadcasters, betting companies, and sports leagues. Consequently, the ability to provide low-latency data feeds has become a key differentiator in the competitive sports data market.
The proliferation of sports betting and fantasy sports platforms globally has significantly contributed to the growth of the sports data low-latency feed market. These platforms rely heavily on real-time data to facilitate seamless user experiences, minimize the risk of arbitrage, and ensure regulatory compliance. The legalization of sports betting in several jurisdictions, particularly in North America and Europe, has led to a surge in demand for high-speed, accurate data feeds that support dynamic odds calculation and in-play wagering. Furthermore, the increasing popularity of fantasy sports leagues has created new avenues for data feed providers to deliver comprehensive player statistics, match updates, and video highlights, all in real time. As the competitive landscape intensifies, companies are investing in advanced infrastructure and partnerships to enhance their data delivery capabilities and expand their market presence.
Technological advancements in network infrastructure, such as the deployment of 5G and edge computing, have played a crucial role in driving the sports data low-latency feed market forward. These technologies enable faster data transmission, reduced latency, and improved reliability, which are essential for delivering real-time sports content to a global audience. The adoption of cloud-based solutions has further facilitated scalability and flexibility, allowing stakeholders to manage large volumes of data efficiently and cost-effectively. Moreover, the integration of video analytics and artificial intelligence has opened new possibilities for automated content generation, personalized recommendations, and enhanced fan engagement. As the industry continues to evolve, the convergence of these technologies is expected to unlock new growth opportunities and redefine the standards for real-time sports data delivery.
Regionally, North America dominates the sports data low-latency feed market, accounting for the largest share in 2024, followed by Europe and Asia Pacific. The strong presence of major sports leagues, advanced technological infrastructure, and the rapid adoption of sports betting and fantasy sports platforms have positioned North America as the leading market. Europe is also experiencing significant growth, driven by the increasing popularity of football and the expansion of regulated betting markets. Asia Pacific is emerging as a high-growth region, fueled by rising sports viewership, digital transformation initiatives, and the growing adoption of cloud-based solutions. Latin America and the Middle East & Africa are witnessing steady growth, supported by investments in sports infrastructure and increasing internet penetration. The regional outlook for the mar
This dataset provides information on work zones in the state of Massachusetts in a tabular format and is updated daily based on the live MassDOT Work Zone Data Exchange (WZDx) Feed.
A continuously updating archive of the MassDOT WZDx feed data can be found at ITS WorkZone Raw Data Sandbox and the ITS WorkZone Semi-Processed Data Sandbox. This live feed is currently compliant with the WZDx Specification v3.1.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
GTFS Realtime feeds have been provided by the Victoria Department of Transport and Planning to provide realtime updates about Public Transport services. It contains feeds about: Trip Updates - delays, cancellations, changed routes Service Alerts - stop moved, unforeseen events affecting a station, route or the entire network Vehicle Positions - information about the vehicles including location and congestion level Please note these feeds are provided in the Protocol Buffer format and are not human readable. For more information refer to this GTFS Realtime page () which is maintained by MobilityData () and facilitates the GTFS and GTFS-R specification. Summary of Changes: Two new V/Line real-time open data feeds have been released so passengers can make decisions about their journeys using the right information at the right time, no matter their app of choice: GTFS-R - Trip Updates - vLine: gives a predicted arrival or departure time for stops along a public transport route. Trip updates can also provide for more complex scenarios where trips are cancelled or added to the schedule or even re-routed. GTFS-R - Vehicle Positions - vLine: provides automatically generated information on the location of a vehicle, such as from a GPS device on board Why are these changes being made? These changes are being made to: Create consistent and accurate real-time transport information for open data users. Improve trip planning and data usability by better aligning static and real-time datasets. NOTE: The API Key is to be used in the request header. Header name is 'KeyID'. API endpoint rate limit - Metro Train (24 calls per 60 seconds), Tram (24 calls per 60 seconds), Bus (24 calls per 60 seconds) Data Refresh rate - (Metro Train - Near real-time), (Tram - Every 60 seconds), (Bus - Near real-time)
Datos brings to market anonymized, at scale, consolidated privacy-secured datasets with a granularity rarely found in the market. Get access to the desktop and mobile browsing behavior for millions of users across the globe, packaged into clean, easy-to-understand data products and reports.
The Datos Activity Feed is an event-level accounting of all observed URL visits executed by devices which Datos has access to over a given period of time.
This feed can be delivered on a daily basis, delivering the previous day’s data. It can be filtered by any of the fields, so you can focus on what’s important for you, whether it be specific markets or domains.
Now available with Datos Low-Latency Feed This add-on ensures delivery of approximately 99% of all devices before markets open in New York (the lowest latency product on the market). Our clickstream data is made up of an array of upstream sources. The DLLF makes the daily output of these sources available as they arrive and are processed, rather than a once-daily batch.
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
This group layer has been deprecated. Please utilize the newer Live Feed and Hazard Data (MED) for US&R here: https://arcgis.com/home/item.html?id=49d55203fa964e1f8f3b98eeb67a65e8. This is a group layer item for the most commonly requested live feed & hazard data layers by Urban Search & Rescue stakeholders. Created on 12/07/2023. See links below for more details and metadata. These are natural hazard data, some are static and some are live/dynamic. Whenever possible use incident specific forecast and impact models. For ease of use the layers are grouped as shown below.Current WeatherTropical CyclonesSevere Weather & TornadoesFloodingEarthquakesWildfireSee the links below for more detailed information and metadata.
According to our latest research, the global streaming analytics market size reached USD 19.2 billion in 2024, driven by accelerated digital transformation across industries and the surging need for real-time data analysis. The market is exhibiting robust momentum, with a recorded CAGR of 25.7% from 2025 to 2033. Based on this growth trajectory, the streaming analytics market is forecasted to achieve a value of USD 143.2 billion by 2033. The primary growth factor propelling this expansion is the increasing demand for advanced analytics solutions that can process and analyze large volumes of data in real time, enabling organizations to make faster, data-driven decisions.
A major driver fueling the growth of the streaming analytics market is the exponential rise in data generated from connected devices, IoT sensors, social media, and enterprise applications. Organizations across sectors are recognizing the competitive advantage of leveraging streaming analytics to monitor operations, detect anomalies, and respond proactively to business events as they unfold. The ability to harness real-time insights has become essential in high-stakes environments such as financial services for fraud detection, telecommunications for network optimization, and manufacturing for predictive maintenance. The proliferation of 5G networks and the expansion of cloud computing infrastructure have further accelerated the adoption of streaming analytics platforms by providing the necessary bandwidth and computational power to process massive data streams with minimal latency.
Another significant growth factor is the integration of artificial intelligence (AI) and machine learning (ML) technologies with streaming analytics solutions. These advanced capabilities enable organizations to move beyond traditional descriptive analytics toward predictive and prescriptive analytics, uncovering actionable insights from live data feeds. The demand for real-time analytics is also being amplified by the increasing adoption of edge computing, which allows data to be processed closer to its source, reducing response times and improving decision-making efficiency. As organizations continue to invest in digital transformation initiatives, the need to analyze data as it is generated—rather than after it is stored—has become a critical differentiator for operational agility and customer experience.
The streaming analytics market is also benefitting from the growing emphasis on regulatory compliance and risk management. In highly regulated industries such as banking, healthcare, and energy, organizations are leveraging streaming analytics to monitor transactions, detect suspicious activities, and ensure compliance with evolving regulatory requirements. The ability to analyze data in real time not only helps in mitigating risks but also supports proactive incident response and reporting. Furthermore, the increasing focus on customer-centricity in retail and e-commerce is driving the adoption of streaming analytics to personalize marketing efforts, optimize inventory, and enhance overall service delivery. These factors collectively underscore the marketÂ’s strong growth outlook through the forecast period.
Continuous Intelligence is emerging as a transformative force within the streaming analytics market, offering organizations the ability to integrate real-time analytics seamlessly into their business operations. This approach enables continuous monitoring and analysis of data as it flows through systems, providing immediate insights that drive timely decision-making. By leveraging continuous intelligence, businesses can enhance their responsiveness to market changes, optimize operational processes, and improve customer experiences. The integration of continuous intelligence with existing analytics frameworks allows for more dynamic and adaptive strategies, ensuring that organizations remain competitive in fast-paced environments. As the demand for real-time data processing grows, continuous intelligence is set to become a cornerstone of modern analytics solutions, empowering businesses to harness the full potential of their data assets.
Regionally, North America continues to dominate the streaming analytics market, accounting for the largest share in 2024 due to the presence of leading technology providers, rapid adoption of advanced analytics solutions, and substantia
https://ottawa.ca/en/city-hall/get-know-your-city/open-data#open-data-licence-version-2-0https://ottawa.ca/en/city-hall/get-know-your-city/open-data#open-data-licence-version-2-0
Summary: The OC Transpo Live Next Bus Arrival Data Feed API Service provides a gateway into a data feed with real-time OC Transpo bus locations and estimated arrival times for up to the next three buses at a given Stop. Also includes schedule data for O-Train Line 1 departure times.More details, along with the API Key Application Form, can be found on OC Transpo’s Developer page.Note: This is a reference to the OC Transpo Developers API. There is no data to be downloaded on this page.Accuracy: N/AUpdate Frequency: N/AContact: OC Transpo
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
mostly on major arterials and highways. DOT uses this information for emergency response and management.The metadata defines the fields available in this data feed and explains more about the data.
Information on the amount of water flowing in streams and rivers is critical to the management of water resources, emergency response to flooding, fisheries management, and many other uses. This layer provides access to near real-time stream gauge readings compiled from a variety of agencies and organizations.Dataset SummaryThe Live Stream Gauges layer contains near real-time measurements of water depth from multiple reporting agencies recording at sensors across the world. This layer updates every hour. Flow forecasts are provided where available. These sensor feeds are owned and maintained by the GIS community via the Community Maps Program. For details on the coverage in this map and to find out how to contribute your organization's gauges, please email environment@esri.com.Contributors to the Live Stream Gauges Service:United States Geological Survey (USA)National Weather Service (USA) * Includes Stage Status *Washington State Department of Ecology (USA)San Joaquin County (USA)Maricopa County Flood Control District (USA)Minnesota Department of Natural Resources (USA)PEGELONLINE (Germany) * Includes Stage Status *Bureau of Meteorology (Australia)Horizons Regional Council (New Zealand) Environment Agency (UK)Nebraska Department of Natural Resources (USA) * Includes Stage Status *Iowa Flood Center (USA)Oregon Water Resource Department (USA)Dartmouth Flood Observatory (Global) * Includes Stage Status *Meteorological Service of Canada (Canada)Volusia County Florida (USA) * Suspended *Somali Water and Land Information Management (Somalia) * Includes Stage Status *Office of Public Works (Ireland)RevisionsDec 13, 2024: Added 'Status Classification' field, allowing symbol level draw order based on severity of flood status!Aug 26, 2024: Corrected update issue with USGS source data reported by several users.Aug 14, 2024: Updated USGS feed to pull from JSON data source, see: https://waterservices.usgs.gov/Jul 24, 2024: Added Office of Public Works (Ireland) dataJul 10, 2024: National Weather Service (NOAA) source reinstated after provider fix!Jul 8, 2024: Volusia County Florida, suspended during administrative holdJul 5, 2024: National Weather Service (NOAA) source stopped updating, suspended waiting on provider to correctMay 28, 2024: National Weather Service (NOAA) source updated, replaced retired AHPS with NWPSJan 22, 2024: Reinstated Somali Water and Land Management source after they successfully migrated to HTTPS ProtocolJan 3, 2024: Somali Water and Land Management source deactivated until Web Site issues are resolved!Mar 20, 2023: Nebraska DNR has been updated to leverage new source and now honors Stage Status!Feb 16, 2023: Nebraska DNR source update temporarily disabled due to source repository change!Aug 10, 2021: Added missing source for Nova Scotia CanadaJul 3, 2021: Added Somali Water and Land Information Management dataJun 30, 2021: Added Volusia County dataFeb 9, 2021: Refinements and Fixes:Corrections to Flow conversion for 'Environment Agency - UK'Corrections to Flow conversion for 'Horizons Regional Council - New Zealand'Added display of Metric Stage Height and Flow to PopupJan 27, 2021: Official release of Feature Service offering. Upgrades include:Automatic addition of new source stationsRemoval of stations with data older than 180 daysAddition of 'Governing Location' field that provides geographic State or Province (optional) plus Country NameAddition of 'Hours Since Last Update' field that maintains the age since gauge data was last updated
City of Austin roadway work zones served in the USDOT Work Zone Data Exchange (WZDx) specification. This feed is under active development. More info available at: https://github.com/usdot-jpo-ode/wzdx
https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy
According to our latest research, the global sports betting data feeds market size reached USD 1.75 billion in 2024, reflecting robust growth driven by digital transformation and the increasing legalization of sports betting worldwide. The market is projected to expand at a CAGR of 12.4% from 2025 to 2033, with the total market value forecasted to hit USD 5.06 billion by 2033. This growth trajectory is primarily attributed to the proliferation of online betting platforms, technological advancements in real-time data processing, and the evolving regulatory landscape that continues to favor the adoption of sports betting solutions.
One of the primary growth factors for the sports betting data feeds market is the exponential rise in global sports betting activities, both online and offline. As more countries move towards legalizing sports betting, operators are seeking advanced data feed solutions to enhance their offerings and ensure compliance with regulatory requirements. The surge in popularity of live and in-play betting has created a significant demand for real-time, accurate, and reliable data feeds. Sportsbooks and betting platforms are increasingly relying on sophisticated data feed providers to deliver up-to-the-second information on odds, player statistics, and match outcomes, which not only improves the user experience but also reduces the risk of fraud and errors. Furthermore, the integration of artificial intelligence and machine learning into data feed solutions is enabling operators to provide more personalized and engaging betting experiences, further fueling market growth.
Another key driver is the rapid technological advancements in data transmission and analytics. The emergence of cloud-based infrastructure and API-driven architectures has enabled seamless integration of data feeds into multiple betting platforms, enhancing scalability and operational efficiency. The adoption of advanced analytics tools allows operators to leverage historical and real-time data for predictive modeling, odds calculation, and risk management. In addition, the increasing use of mobile devices for sports betting has necessitated the development of lightweight, high-performance data feed solutions that can deliver instant updates to users regardless of their location. This technological evolution is not only expanding the addressable market but also intensifying competition among data feed providers, leading to continuous innovation and improvement in service quality.
The growing emphasis on regulatory compliance and integrity in sports betting is also shaping the market landscape. Governments and regulatory bodies are imposing stringent requirements on data accuracy, transparency, and anti-fraud measures, compelling operators to invest in high-quality data feed solutions. Data feed providers are responding by enhancing their offerings with features such as real-time monitoring, anomaly detection, and automated reporting to ensure compliance with evolving regulations. The collaboration between sports leagues, betting operators, and data providers is further strengthening the ecosystem, fostering trust and credibility among end-users. As a result, the sports betting data feeds market is witnessing increased adoption across various segments, including sportsbooks, online betting platforms, casinos, and fantasy sports operators.
From a regional perspective, North America and Europe continue to dominate the sports betting data feeds market, accounting for a significant share of global revenues. The United States, in particular, has witnessed a surge in sports betting activities following the repeal of PASPA, with several states legalizing and regulating the industry. Europe, with its well-established betting culture and mature regulatory framework, remains a key market for data feed providers. The Asia Pacific region is emerging as a lucrative market, driven by the rising popularity of online sports betting and the increasing adoption of digital payment solutions. Latin America and the Middle East & Africa are also witnessing steady growth, supported by favorable regulatory developments and expanding internet penetration.
The sports betting data feeds market is segmented by component into software and services, each playing a pivotal role in shaping the industry’s trajectory. Software solutions form the backbone of data feed integr
We offer three easy-to-understand equity data packages to fit your business needs. Visit intrinio.com/pricing to compare packages.
Bronze
The Bronze package is ideal for developing your idea and prototyping your platform with high-quality EOD equity pricing data, standardized financial statement data, and supplementary fundamental datasets.
When you’re ready for launch, it’s a seamless transition to our Silver package for additional data sets, 15-minute delayed equity pricing data, expanded history, and more.
Bronze Benefits:
Silver
The Silver package is ideal for startups that are in development, testing, or in the beta launch phase. Hit the ground running with 15-minute delayed and historical intraday and EOD equity prices, plus our standardized and as-reported financial statement data with nine supplementary data sets, including insider transactions and institutional ownership.
When you’re ready to scale, easily move up to the Gold package for our full range of data sets and full history, real-time equity pricing data, premium support options, and much more.
Silver Benefits:
Gold
The Gold package is ideal for funded companies that are in the growth or scaling stage, as well as institutions that are innovating within the fintech space. This full-service solution offers our complete collection of equity pricing data feeds, from real-time to historical EOD, plus standardized financial statement data and nine supplementary feeds.
You’ll also have access to our wide range of modern access methods, third-party data via Intrinio’s API with licensing assistance, support from our team of expert engineers, custom delivery architectures, and much more.
Gold Benefits:
Platinum
Don’t see a package that fits your needs? Our team can design premium custom packages for institutions.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Iowa Department of Transportation's Intelligent Transportation System (ITS) Detector Sensors. Sensor Feed: Includes location of sensors, current travel speed, traffic counts, occupancy counts, and more.Work Zone Alert Feed: Includes work zones that have dropped below the normal speed and are determined to have a critical traffic speed abnormality.
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
This is a group layer item for the most commonly requested live feed & hazard data layers used by Urban Search & Rescue stakeholders. Created on 4/23/2025.This layer is shared publicly for use by the US&R Community.What is a Group Layer item? Blog: Group Layer Items: A new way to build and share content (esri.com)Doc: Organize layers (Map Viewer)—ArcGIS Online Help | Documentation
From our comprehensive US Data Lake, we proudly present 23M+ high-quality US decision-makers and influencers.
Take your ABM strategy to the next level, build a strong pipeline and close deals by laser targeting key decision-makers and influencers based on their department, job functions, job responsibilities, interest areas and expertise, then utilise essential prospect information, including verified work email addresses and business phone and social links.
Our data is sourced directly from executives, businesses, official sources and registries, standardised, de-duped, and verified, and then processed through vigorous compliance procedures for GDPR/PECR on a legitimate interest basis and RTBI etc. This results in a highly accurate single source of quality and compliant B2B data.
It is with our B2B Live Data Lake that we can enrich your CRM data, supply new prospect data, verify leads, and provide you with a custom dataset tailored to your target audience specifications. We also cater for big data licensing to software providers and agencies that intend to supply our data to their customers and use it in their software solutions.
and much more
Why Choose 1 Stop Data?
Products and Services:
The oscar4.io web platform for self-service data on demand Bulk data feeds Data hygiene, standardisation, cleansing and enrichment Know Your Business (KYB)
Keywords:
B2B,Prospect Data,Validated Work Emails,Personal Emails,Email Enrichment,Company Data,Lead Enrichment,Data Enhancement,Account Based Marketing (ABM),Customer Data,Phone Enrichment,LinkedIn URL,Market Intelligence,Business Intelligence,Data Append,Contact Data,Lead Generation,360-Degree Customer View,Data Cleansing,Lead Data,Email and Phone Validation,Data Augmentation,Segmentation,Data Enrichment,Email Marketing,Data Intelligence,Direct Marketing,Customer Insights,Audience Targeting,Audience Generation,Mobile Phone,B2B Data Enrichment,Social Advertising,Due Diligence,B2B Advertising,Audience Insights,B2B Lead Retargeting,Contact Information,Demographic Data,Consumer Data Enrichment,People-Based Marketing,Contact Data Enrichment,Customer Data Insights,Prospecting,Sales Intelligence,Predictive Analytics,Email Address Validation,Company Data Enrichment,Audience Intelligence,Cold Outreach,Analytics,Marketing Data Enrichment,Customer Acquisition,Data Cleansing,B2C Data,People Data,Professional Information,Recruiting and HR,KYC,B2B List Validation,Lead Information,Sales Prospecting,B2B Sales,B2B Data,Lead Lists,Contact Validation,Competitive Intelligence,Customer Data Enrichment,Identity Resolution,Identity Validation,Data Science,B2C Data Enrichment,B2C,Lead Data Enrichment,Social Media Data.
Live disaster management data feeds showing information such as road closures and the location of vital services.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Live air quality data updates from the Queensland Governments air monitoring network updated hourly and published in XML format.
The data used to compile this air quality information comes directly from the department's air monitoring network and has only undergone a preliminary quality check.
If there is no data measured for a parameter, or data could not be retrieved from the monitoring station at this hour, no data will be shown.
Only data for the current hour is available through the live data feed.