The Spatiotemporal Big Data Store Tutorial introduces you the the capabilities of the spatiotemporal big data store in ArcGIS Data Store, available with ArcGIS Enterprise. Observation data can be moving objects, changing attributes of stationary sensors, or both. The spatiotemporal big data store enables archival of high volume observation data, sustains high velocity write throughput, and can run across multiple machines (nodes). Adding additional machines adds capacity, enabling you to store more data, implement longer retention policies of your data, and support higher data write throughput.

After completing this tutorial you will:

Understand the concepts and best practices for working with the spatiotemporal big data store available with ArcGIS Data Store. Have configured the appropriate security settings and certificates on a enterprise server, real-time server, and a data server which are necessary for working with the spatiotemporal big data store. Have learned how to process and archive large amounts of observational data in the spatiotemporal big data store. Have learned how to visualize the observational data that is stored in the spatiotemporal big data store.

Releases

Each release contains a tutorial compatible with the version of GeoEvent Server listed. The release of the component you deploy does not have to match your version of ArcGIS GeoEvent Server, so long as the release of the component is compatible with the version of GeoEvent Server you are using. For example, if the release contains a tutorial for version 10.6; this tutorial is compatible with ArcGIS GeoEvent Server 10.6 and later. Each release contains a Release History document with a compatibility table that illustrates which versions of ArcGIS GeoEvent Server the component is compatible with.

NOTE: The release strategy for ArcGIS GeoEvent Server components delivered in the ArcGIS GeoEvent Server Gallery has been updated. Going forward, a new release will only be created when

  a component has an issue,
  is being enhanced with new capabilities,
  or is not compatible with newer versions of ArcGIS GeoEvent Server.

This strategy makes upgrades of these custom
components easier since you will not have to
upgrade them for every version of ArcGIS GeoEvent Server
unless there is a new release of
the component. The documentation for the
latest release has been
updated and includes instructions for updating
your configuration to align with this strategy.

Latest

Release 4 - February 2, 2017 - Compatible with ArcGIS GeoEvent Server 10.5 and later.

Previous

Release 3 - July 7, 2016 - Compatible with ArcGIS GeoEvent Server 10.4 thru 10.8.

Release 2 - May 17, 2016 - Compatible with ArcGIS GeoEvent Server 10.4 thru 10.8.

Release 1 - March 18, 2016 - Compatible with ArcGIS GeoEvent Server 10.4 thru 10.8.

DWR Basin Prioritization. Prioritization table of components used to prioritize basins was joined to this basin layer, for use in the SNMP web application.The dataset is a feature class showing the boundaries of 515 groundwater basins and subbasins as defined by the California Department of Water Resources as last modified by the Basin Boundary Emergency Regulation adopted on October 21, 2015 and subsequent modifications requested through the Basin Boundary Modification Request Process. The file is in ESRI geodatabase format and is intended for use with compatible GIS software. Groundwater basins are represented as polygon features and designated on the basis of geological and hydrological conditions - usually the occurrence of alluvial or unconsolidated deposits. When practical, large basins are also subdivided by political boundaries, as in the Central Valley. Basins are named and numbered per the convention of the Department of Water Resources. The associated data are considered DWR enterprise GIS data, which meet all appropriate requirements of the DWR GIS Spatial Data Standards. DWR makes no warranties or guarantees, either expressed or implied, as to the completeness, accuracy or correctness of the data, nor accepts or assumes any liability arising from or for any incorrect, incomplete or misleading subject data. The official DWR GIS Data Steward for this dataset is Brett Wyckoff, who may be contacted at 916-902-6779, or at brett.wyckoff@water.ca.gov. Comments, problems, improvements, updates, or suggestions should be forwarded to the official GIS Data Steward as available and appropriate.

Enterprise GIS Market Outlook

According to our latest research, the global Enterprise GIS market size reached USD 8.4 billion in 2024, reflecting the rapid adoption of geospatial technologies across various sectors. The market is expected to grow at a robust CAGR of 11.2% during the forecast period, reaching a projected value of USD 24.1 billion by 2033. This remarkable growth is primarily driven by the increasing need for real-time geographic data, advancements in cloud-based GIS solutions, and the rising integration of GIS with emerging technologies such as IoT, AI, and big data analytics.

One of the most significant growth factors for the Enterprise GIS market is the expanding requirement for spatial data analytics in decision-making processes across industries. As organizations strive to enhance operational efficiency and resource allocation, the demand for advanced mapping and spatial analysis tools has surged. Enterprises in sectors like utilities, government, transportation, and oil & gas are leveraging GIS platforms for asset management, infrastructure planning, and disaster management. The ability of Enterprise GIS to provide actionable insights through real-time data visualization and predictive analytics is proving invaluable for both public and private sector entities, thereby fueling market expansion.

Another key driver is the technological evolution of GIS platforms, particularly the shift towards cloud-based deployment models. Cloud-based Enterprise GIS solutions offer scalable, flexible, and cost-effective alternatives to traditional on-premises systems. This transition enables organizations to manage vast geospatial datasets, collaborate across distributed teams, and integrate GIS capabilities with other enterprise applications. The proliferation of mobile devices and IoT sensors is further augmenting the adoption of cloud GIS, as it facilitates seamless data collection, sharing, and analysis from remote locations. The result is a significant boost in the operational agility and responsiveness of enterprises, which is accelerating the adoption of Enterprise GIS solutions globally.

The increasing regulatory emphasis on sustainable development, urban planning, and environmental monitoring is also contributing to the growth of the Enterprise GIS market. Governments and regulatory bodies worldwide are mandating the use of spatial data for land management, infrastructure development, and resource conservation. This regulatory push is compelling organizations to invest in robust GIS platforms that can support compliance, reporting, and long-term planning. Furthermore, the integration of artificial intelligence and machine learning with GIS is enabling predictive modeling and automation, which are critical for proactive decision-making in dynamic environments. These factors collectively underscore the strategic importance of Enterprise GIS in driving digital transformation and resilience across industries.

From a regional perspective, North America continues to dominate the Enterprise GIS market, accounting for the largest revenue share in 2024. The region’s leadership is attributed to the presence of major GIS vendors, advanced IT infrastructure, and high adoption rates across government and utility sectors. Meanwhile, Asia Pacific is emerging as the fastest-growing region, propelled by rapid urbanization, infrastructure investments, and government initiatives promoting smart cities and digital governance. Europe also holds a significant share, driven by stringent environmental regulations and the increasing adoption of geospatial technologies in sectors such as transportation and telecommunications. Latin America and the Middle East & Africa are witnessing steady growth, supported by investments in infrastructure modernization and resource management.

Component Analysis

The Enterprise GIS market by component is segmented into software, hardware, and services, each playing a pivotal role in the overall ecosystem. The software segment current

Enterprise GIS Market Outlook

According to our latest research, the global enterprise GIS market size reached USD 7.9 billion in 2024, and is poised to grow at a robust CAGR of 11.2% during the forecast period, reaching an estimated USD 21.1 billion by 2033. The primary growth factor driving this expansion is the increasing integration of geospatial data analytics across diverse industries, enabling organizations to derive actionable insights, optimize operations, and support strategic decision-making.

One of the fundamental growth drivers for the enterprise GIS market is the exponential rise in the adoption of spatial data analytics and location intelligence across both public and private sectors. Organizations are leveraging GIS platforms to enhance their operational efficiency, improve resource allocation, and gain a competitive edge by making informed decisions based on geospatial data. The proliferation of Internet of Things (IoT) devices and sensors has further augmented the volume and variety of spatial data, necessitating advanced GIS solutions capable of processing, analyzing, and visualizing complex datasets in real time. Additionally, the growing trend of smart cities and urban digitalization initiatives worldwide has significantly boosted demand for enterprise GIS platforms, as municipalities and urban planners rely on geospatial technologies to manage infrastructure, monitor urban growth, and optimize public services.

Another key growth factor is the rapid evolution of cloud-based GIS solutions, which have democratized access to powerful geospatial tools for organizations of all sizes. Cloud deployment offers scalability, flexibility, and cost-effectiveness, enabling even small and medium enterprises (SMEs) to harness the capabilities of enterprise GIS without significant upfront investments in hardware and IT infrastructure. The integration of artificial intelligence (AI) and machine learning (ML) algorithms into GIS platforms has further enhanced their analytical capabilities, allowing organizations to automate spatial analysis, predict trends, and uncover hidden patterns within geospatial data. This technological convergence is fostering innovation and expanding the range of applications for enterprise GIS across industries such as utilities, transportation, telecommunications, and oil & gas.

The increasing emphasis on regulatory compliance and environmental sustainability is also fueling the growth of the enterprise GIS market. Governments and regulatory bodies worldwide are mandating the use of geospatial data for land use planning, environmental monitoring, disaster management, and infrastructure development. Enterprise GIS platforms facilitate compliance by providing accurate mapping, real-time monitoring, and robust reporting functionalities. Moreover, the heightened awareness of climate change and the need for sustainable resource management have prompted organizations to adopt GIS solutions for monitoring natural resources, assessing environmental impacts, and developing mitigation strategies. These factors collectively underscore the critical role of enterprise GIS in supporting sustainable development and regulatory adherence.

From a regional perspective, North America continues to dominate the enterprise GIS market, accounting for the largest revenue share in 2024. This leadership is attributed to the region’s advanced IT infrastructure, high adoption rates of emerging technologies, and the presence of major GIS vendors. Asia Pacific is expected to witness the fastest growth during the forecast period, driven by rapid urbanization, government-led digital transformation initiatives, and substantial investments in smart city projects. Europe also represents a significant market, characterized by stringent environmental regulations and a strong focus on sustainable urban development. In contrast, Latin America and the Middle East & Africa are emerging markets with growing adoption of GIS solutions in sectors such as utilities, transportation, and oil & gas, albeit at a relatively moderate pace compared to the other regions.

Component Analysis

The enterprise GIS market is segmented by component into software, hardware, and services, each playing a pivotal role in the overall ecosystem. The software segment constitutes the largest share due to the increasing demand for advanced GIS applications that offer powerful data visualization, spatial analysis, and mapping cap

**Please Note – All published Saskatchewan Geological Survey datasets, including those available through the Saskatchewan Mining and Petroleum GeoAtlas, are sourced from the Enterprise GIS Data Warehouse. They are therefore identical and share the same refresh schedule. This dataset shows the Cratonic Elements of the province of Saskatchewan at 1:1 million scale. This data was compiled using years of bedrock mapping, compiled into a file geodatabase feature class and output for public distribution.

Cloud GIS Market Outlook

The global Cloud GIS market size was valued at approximately USD 1.2 billion in 2023 and is projected to reach around USD 3.5 billion by 2032, growing at a compound annual growth rate (CAGR) of 12.5% over the forecast period. The growth of the Cloud GIS market can be attributed to several factors, including the increasing demand for cloud-based geographic information systems (GIS) across various sectors, advancements in geospatial technologies, and rising investments in smart city projects.

One of the primary growth factors driving the Cloud GIS market is the increasing demand for real-time geospatial data and location-based services. As businesses and governments recognize the value of real-time data for decision-making, there has been a surge in the adoption of Cloud GIS solutions. These solutions offer scalable, flexible, and cost-effective ways to collect, store, analyze, and visualize geographic data, making them indispensable in sectors such as transportation, logistics, and urban planning.

Another significant growth driver is the rapid advancement in geospatial technologies, such as remote sensing, satellite imagery, and geographic data analytics. These technological advancements have expanded the capabilities of GIS systems, enabling more sophisticated data analysis and mapping solutions. The integration of AI and machine learning with GIS is further enhancing the ability to derive actionable insights from complex geospatial data, thus fueling the market growth.

Investments in smart city projects are also contributing to the growth of the Cloud GIS market. Governments and urban planners are increasingly leveraging Cloud GIS to manage and optimize urban infrastructure, transportation systems, and public services. Smart cities use geospatial data to improve resource management, enhance public safety, and provide better services to citizens. This trend is expected to continue, driving further demand for Cloud GIS solutions.

Regionally, North America is expected to hold the largest market share in the Cloud GIS market during the forecast period. The region's dominance can be attributed to the presence of leading technology companies, high adoption rates of advanced technologies, and substantial investments in infrastructure development. Additionally, Asia Pacific is anticipated to witness the highest growth rate due to rapid urbanization, increasing internet penetration, and government initiatives promoting digitalization and smart city projects.

Component Analysis

The Cloud GIS market is segmented by component into software and services. Within the software segment, cloud-based GIS solutions offer various functionalities, including data storage, data analysis, and visualization tools. These solutions are gaining traction due to their scalability, flexibility, and ability to integrate with other enterprise systems. Cloud GIS software allows organizations to access and analyze geographic data in real-time, facilitating better decision-making and strategic planning. As businesses and governments increasingly rely on geographic data, the demand for advanced GIS software solutions is expected to rise significantly.

On the other hand, the services segment encompasses various offerings such as consulting, integration, maintenance, and support services. These services are crucial for the successful implementation and operation of Cloud GIS systems. Consulting services help organizations understand their specific GIS needs and develop tailored solutions, while integration services ensure seamless integration of GIS with existing IT infrastructure. Maintenance and support services provide ongoing assistance to ensure the smooth functioning of GIS systems. The growing complexity of geospatial data and the need for specialized expertise are driving the demand for professional services in the Cloud GIS market.

Moreover, the shift towards cloud-based solutions has led to the emergence of new service models such as GIS-as-a-Service (GaaS). GaaS allows organizations to access GIS capabilities on a subscription basis, eliminating the need for significant upfront investments in hardware and software. This model is particularly beneficial for small and medium-sized enterprises (SMEs) that may not have the resources to invest in traditional GIS systems. As the adoption of GaaS increases, the services segment is expected to experience substantial growth.

In addition to these core services, many Cloud GIS providers offer value-added services such as data analytics, cus