4 datasets found
  1. w

    Global Cloud Native Database Market Research Report: By Deployment Model...

    • wiseguyreports.com
    Updated Jul 19, 2024
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    wWiseguy Research Consultants Pvt Ltd (2024). Global Cloud Native Database Market Research Report: By Deployment Model (Public Cloud, Private Cloud, Hybrid Cloud), By Data Model (Key-Value Stores, Document Databases, Wide Column Stores, Graph Databases), By Database Type (SQL Databases, NoSQL Databases), By Database Service (Database-as-a-Service (DBaaS), Managed Database Services, Self-Managed Database Services) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2032. [Dataset]. https://www.wiseguyreports.com/reports/cloud-native-database-market
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    Dataset updated
    Jul 19, 2024
    Dataset authored and provided by
    wWiseguy Research Consultants Pvt Ltd
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Time period covered
    Jan 7, 2024
    Area covered
    Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2024
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 202329.79(USD Billion)
    MARKET SIZE 202437.25(USD Billion)
    MARKET SIZE 2032222.12(USD Billion)
    SEGMENTS COVEREDDeployment Model ,Data Model ,Database Type ,Database Service ,Regional
    COUNTRIES COVEREDNorth America, Europe, APAC, South America, MEA
    KEY MARKET DYNAMICSRising adoption of cloudbased solutions Increasing demand for data storage and analytics Growing need for cost optimization Emergence of new technologies such as Kubernetes and Serverless Growing popularity of open source databases
    MARKET FORECAST UNITSUSD Billion
    KEY COMPANIES PROFILEDGoogle ,Amazon Web Services ,DataStax ,MongoDB ,Red Hat ,Couchbase ,Instaclustr ,Cockroach Labs ,Yugabyte ,Redis Labs ,Platform9 ,VMware Tanzu ,Microsoft ,Clustrix
    MARKET FORECAST PERIOD2024 - 2032
    KEY MARKET OPPORTUNITIESHybrid and Multicloud Adoption Growing Demand for Edge Computing Increasing Focus on Data Security Adoption of CloudNative Analytics Expansion into Emerging Markets
    COMPOUND ANNUAL GROWTH RATE (CAGR) 25.01% (2024 - 2032)
  2. C

    Cloud Database Market Report

    • promarketreports.com
    doc, pdf, ppt
    Updated Jan 4, 2025
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    Pro Market Reports (2025). Cloud Database Market Report [Dataset]. https://www.promarketreports.com/reports/cloud-database-market-8409
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    pdf, ppt, docAvailable download formats
    Dataset updated
    Jan 4, 2025
    Dataset authored and provided by
    Pro Market Reports
    License

    https://www.promarketreports.com/privacy-policyhttps://www.promarketreports.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    Database Type: SQL, NoSQL (including Document, Key-Value, Wide-Column, and Graph Databases) Model: Service (Cloud-hosted, Managed, and Self-Managed), Deployment (Public Cloud, Private Cloud, Hybrid Cloud) Component: Software, Service, Infrastructure Organization Size: Large Enterprise, Small and Medium Enterprises (SMEs) End-User: BFSI, Healthcare, Retail, Manufacturing, Government, Education, and Others

  3. w

    Global Streaming Database Market Research Report: By Deployment Mode (Cloud,...

    • wiseguyreports.com
    Updated Aug 6, 2024
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    wWiseguy Research Consultants Pvt Ltd (2024). Global Streaming Database Market Research Report: By Deployment Mode (Cloud, On-Premises), By Database Type (Key-Value Stores, Time Series Databases, Document Databases, Graph Databases, Wide Column Stores), By Use Case (Real-Time Analytics, IoT Data Streaming, Fraud Detection, Personalized Marketing, Predictive Maintenance), By Company Size (Small and Medium-Sized Enterprises (SMEs), Large Enterprises), By Industry Vertical (Manufacturing, Healthcare, Retail, Financial Services, Government) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2032. [Dataset]. https://www.wiseguyreports.com/cn/reports/streaming-database-market
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    Dataset updated
    Aug 6, 2024
    Dataset authored and provided by
    wWiseguy Research Consultants Pvt Ltd
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Time period covered
    Jan 8, 2024
    Area covered
    Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2024
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 20233.46(USD Billion)
    MARKET SIZE 20243.91(USD Billion)
    MARKET SIZE 203210.6(USD Billion)
    SEGMENTS COVEREDDeployment Mode ,Database Type ,Use Case ,Company Size ,Industry Vertical ,Regional
    COUNTRIES COVEREDNorth America, Europe, APAC, South America, MEA
    KEY MARKET DYNAMICSCloud adoption Data volume growth Analytical workloads Realtime data processing Need for scalability
    MARKET FORECAST UNITSUSD Billion
    KEY COMPANIES PROFILEDCloudera ,Basho Technologies ,Google ,IBM ,ArangoDB ,MongoDB ,PlanetScale ,Accurics ,DataStax ,AWS ,Oracle ,PostgreSQL ,Microsoft ,Redis ,Imply
    MARKET FORECAST PERIOD2025 - 2032
    KEY MARKET OPPORTUNITIES1 Adoption of Realtime Data Analytics 2 Growing Demand for Fraud Detection 3 Expansion of IoT and Smart Devices 4 Rise of Edge Computing 5 Increased Cloud Adoption
    COMPOUND ANNUAL GROWTH RATE (CAGR) 13.26% (2025 - 2032)
  4. n

    Western US MTBS-Interagency (WUMI) wildfire dataset

    • data.niaid.nih.gov
    • datadryad.org
    zip
    Updated Aug 1, 2024
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    Caroline Juang; Park Williams (2024). Western US MTBS-Interagency (WUMI) wildfire dataset [Dataset]. http://doi.org/10.5061/dryad.sf7m0cg72
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    zipAvailable download formats
    Dataset updated
    Aug 1, 2024
    Dataset provided by
    Lamont-Doherty Earth Observatory
    University of California, Los Angeles
    Authors
    Caroline Juang; Park Williams
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Area covered
    Western United States, United States
    Description

    Area burned is an important variable for measuring wildfire activity. In the western United States (US), the timing and magnitude of area burned can be associated with meteorological and human activity to find the drivers of wildfire activity, but this type of research is dependent on the spatial and temporal resolution of available wildfire datasets. The Western US MTBS-Interagency (WUMI2) database is a dataset of wildfire events in the western United States (US) larger than 1 km2 for 1984 to 2020. WUMI2 includes the important Monitoring Trends in Burned Severity (MTBS) project (Eidenshink et al., 2007)—a Landsat satellite-based dataset of large fires (>4.04 km2)—and adds small (>1 to 4.04 km2) and large fires from government agency databases, including from the Fire Program Analysis (FPA) fire-occurrence database (Short et al., 2022). We performed extensive quality control to merge the datasets together and remove errors. The result is a western US-wide dataset with accurate fire frequency, timing, and area burned that can be used for analyses and modeling of wildfire activity. The current version of this data is WUMI2. The first iteration of the dataset (WUMI1) was published and described in Juang et al. (2022). Methods Version WUMI2 Updated August 1, 2024: Our WUMI2 fire database consists of 21,693 western US fire events from 1984 through 2020. A text file (west_US_fires_1984-2020_WUMI2.txt) provides a list of each fire event, including the fire’s name, discovery date, point location, total area burned, and forested area burned (see the corresponding readme.txt file for column labels). We also include NetCDF files of the 1-km map of forest fractional coverage (forest_type_frac.nc) and the 1-km maps of monthly burned area over 1984–2020 (burnarea_1984-2020_WUMI2.nc). Fires included in this database are from the Monitoring Trends in Burned Severity Product (MTBS) (Eidenshink et al., 2007), the Fire Program Analysis fire-occurrence database (FPA FOD 6th edition) of interagency fires (Short, 2022), and interagency fires from local databases (CalFire, ST/C&L, TRIBE), and interagency fires from government agency databases (BIA, BLM, BOR, DOD, DOE, NPS, FWS, FS, NPS). More information on methodology can be found in the Supporting Information in Juang et al. (2022). In addition to this methodology, the Fire Program Analysis fire-occurrence database (FPA FOD 6th edition) (Short, 2022) replaces our WUMI1 (Juang et al. (2022)) methodology for the government interagency fires from 1992-2020 for version WUMI2. As in WUMI1, we performed extensive quality control across all included datasets to remove errors in the various wildfire databases and merge the datasets together. Version WUMI1 (older) Updated August 16, 2021: Our WUMI1 fire database consists of 18,368 western US fire events from 1984 through 2019. A text file (west_US_fires_1984_2019.txt) provides a list of each fire event, including the fire’s name, discovery date, point location, total area burned, and forested area burned (see the corresponding readme.txt file for column labels). We also include NetCDF files of the 1-km map of forest fractional coverage (forest_type_frac.nc) and the 1-km maps of monthly burned area over 1984–2019 (burnarea_1984_2019.nc). Fires included in this database from the Monitoring Trends in Burned Severity Product (MTBS), fires from a state database (CalFire), fires from government interagency databases (BIA, BLM, BOR, NPS, FWS, FS). More information on methodology can be found in the Supporting Information in Juang et al. (2022).

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Share
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Close
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wWiseguy Research Consultants Pvt Ltd (2024). Global Cloud Native Database Market Research Report: By Deployment Model (Public Cloud, Private Cloud, Hybrid Cloud), By Data Model (Key-Value Stores, Document Databases, Wide Column Stores, Graph Databases), By Database Type (SQL Databases, NoSQL Databases), By Database Service (Database-as-a-Service (DBaaS), Managed Database Services, Self-Managed Database Services) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2032. [Dataset]. https://www.wiseguyreports.com/reports/cloud-native-database-market

Global Cloud Native Database Market Research Report: By Deployment Model (Public Cloud, Private Cloud, Hybrid Cloud), By Data Model (Key-Value Stores, Document Databases, Wide Column Stores, Graph Databases), By Database Type (SQL Databases, NoSQL Databases), By Database Service (Database-as-a-Service (DBaaS), Managed Database Services, Self-Managed Database Services) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2032.

Explore at:
Dataset updated
Jul 19, 2024
Dataset authored and provided by
wWiseguy Research Consultants Pvt Ltd
License

https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

Time period covered
Jan 7, 2024
Area covered
Global
Description
BASE YEAR2024
HISTORICAL DATA2019 - 2024
REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
MARKET SIZE 202329.79(USD Billion)
MARKET SIZE 202437.25(USD Billion)
MARKET SIZE 2032222.12(USD Billion)
SEGMENTS COVEREDDeployment Model ,Data Model ,Database Type ,Database Service ,Regional
COUNTRIES COVEREDNorth America, Europe, APAC, South America, MEA
KEY MARKET DYNAMICSRising adoption of cloudbased solutions Increasing demand for data storage and analytics Growing need for cost optimization Emergence of new technologies such as Kubernetes and Serverless Growing popularity of open source databases
MARKET FORECAST UNITSUSD Billion
KEY COMPANIES PROFILEDGoogle ,Amazon Web Services ,DataStax ,MongoDB ,Red Hat ,Couchbase ,Instaclustr ,Cockroach Labs ,Yugabyte ,Redis Labs ,Platform9 ,VMware Tanzu ,Microsoft ,Clustrix
MARKET FORECAST PERIOD2024 - 2032
KEY MARKET OPPORTUNITIESHybrid and Multicloud Adoption Growing Demand for Edge Computing Increasing Focus on Data Security Adoption of CloudNative Analytics Expansion into Emerging Markets
COMPOUND ANNUAL GROWTH RATE (CAGR) 25.01% (2024 - 2032)
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