7 datasets found
  1. Z

    In-Memory Database Market By Data Type (SQL, Relational Data Type, And...

    • zionmarketresearch.com
    pdf
    Updated Jul 8, 2025
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    Zion Market Research (2025). In-Memory Database Market By Data Type (SQL, Relational Data Type, And NEWSQL), By Application (Reporting, Transaction, And Analytics), By Vertical (Retail, Health Care, Education, Public Sector, BFSI, Telecom, Energy, Automobile, And Others), and By Region: Global Industry Analysis, Size, Share, Growth, Trends, Value, and Forecast, 2024-2032- [Dataset]. https://www.zionmarketresearch.com/report/in-memory-database-market
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    pdfAvailable download formats
    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Zion Market Research
    License

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

    Time period covered
    2022 - 2030
    Area covered
    Global
    Description

    Global In-memory database market is expected to revenue of around USD 36.21 billion by 2032, growing at a CAGR of 19.2% between 2024 and 2032.

  2. w

    Global Cloud Database Market Research Report: By Deployment Model (Public,...

    • wiseguyreports.com
    Updated Jan 2, 2025
    + more versions
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    wWiseguy Research Consultants Pvt Ltd (2025). Global Cloud Database Market Research Report: By Deployment Model (Public, Private, Hybrid, Multi-Cloud), By Database Type (Relational Database, NoSQL Database, NewSQL Database), By Service Model (Database as a Service, Managed Database Service, Transactional Database Service), By End Use Industry (Banking and Financial Services, Healthcare, Retail, Telecommunications, Government) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2032. [Dataset]. https://www.wiseguyreports.com/de/reports/cloud-database-market
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    Dataset updated
    Jan 2, 2025
    Dataset authored and provided by
    wWiseguy Research Consultants Pvt Ltd
    License

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

    Area covered
    Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2024
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 202337.08(USD Billion)
    MARKET SIZE 202440.93(USD Billion)
    MARKET SIZE 203290.0(USD Billion)
    SEGMENTS COVEREDDeployment Model, Database Type, Service Model, End Use Industry, Regional
    COUNTRIES COVEREDNorth America, Europe, APAC, South America, MEA
    KEY MARKET DYNAMICSgrowing data volume, increasing cloud adoption, demand for scalability, enhanced security concerns, rising operational efficiency
    MARKET FORECAST UNITSUSD Billion
    KEY COMPANIES PROFILEDAlibaba, Amazon, MongoDB, Couchbase, DigitalOcean, Salesforce, Microsoft, Google, IBM, Redis Labs, Datastax, Oracle, Snowflake, Rackspace, SAP
    MARKET FORECAST PERIOD2025 - 2032
    KEY MARKET OPPORTUNITIESIncreased adoption of AI solutions, Growth in IoT applications, Rising demand for hybrid cloud, Expansion of data analytics services, Enhanced data security requirements
    COMPOUND ANNUAL GROWTH RATE (CAGR) 10.36% (2025 - 2032)
  3. f

    Characteristics of the three service trajectories or classesa.

    • plos.figshare.com
    xls
    Updated May 15, 2025
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    Vittorio Nicoletta; Angel Ruiz; Valérie Bélanger; Thomas Paccalet; Maripier Isabelle; Michel Maziade (2025). Characteristics of the three service trajectories or classesa. [Dataset]. http://doi.org/10.1371/journal.pmen.0000327.t002
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    xlsAvailable download formats
    Dataset updated
    May 15, 2025
    Dataset provided by
    PLOS Mental Health
    Authors
    Vittorio Nicoletta; Angel Ruiz; Valérie Bélanger; Thomas Paccalet; Maripier Isabelle; Michel Maziade
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Characteristics of the three service trajectories or classesa.

  4. f

    Demographic and clinical characteristics of patients in the final sample...

    • plos.figshare.com
    xls
    Updated May 15, 2025
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    Vittorio Nicoletta; Angel Ruiz; Valérie Bélanger; Thomas Paccalet; Maripier Isabelle; Michel Maziade (2025). Demographic and clinical characteristics of patients in the final sample (N = 2 333). [Dataset]. http://doi.org/10.1371/journal.pmen.0000327.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 15, 2025
    Dataset provided by
    PLOS Mental Health
    Authors
    Vittorio Nicoletta; Angel Ruiz; Valérie Bélanger; Thomas Paccalet; Maripier Isabelle; Michel Maziade
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Demographic and clinical characteristics of patients in the final sample (N = 2 333).

  5. f

    Average values and confidence intervals at 95% for the service measures in...

    • plos.figshare.com
    xls
    Updated May 15, 2025
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    Vittorio Nicoletta; Angel Ruiz; Valérie Bélanger; Thomas Paccalet; Maripier Isabelle; Michel Maziade (2025). Average values and confidence intervals at 95% for the service measures in each trajectory or classa. [Dataset]. http://doi.org/10.1371/journal.pmen.0000327.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 15, 2025
    Dataset provided by
    PLOS Mental Health
    Authors
    Vittorio Nicoletta; Angel Ruiz; Valérie Bélanger; Thomas Paccalet; Maripier Isabelle; Michel Maziade
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Average values and confidence intervals at 95% for the service measures in each trajectory or classa.

  6. f

    Pairwise ANOVAs with Class of service trajectory as independent variable.

    • plos.figshare.com
    xls
    Updated May 15, 2025
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    Vittorio Nicoletta; Angel Ruiz; Valérie Bélanger; Thomas Paccalet; Maripier Isabelle; Michel Maziade (2025). Pairwise ANOVAs with Class of service trajectory as independent variable. [Dataset]. http://doi.org/10.1371/journal.pmen.0000327.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 15, 2025
    Dataset provided by
    PLOS Mental Health
    Authors
    Vittorio Nicoletta; Angel Ruiz; Valérie Bélanger; Thomas Paccalet; Maripier Isabelle; Michel Maziade
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Pairwise ANOVAs with Class of service trajectory as independent variable.

  7. Price Paid Data

    • gov.uk
    Updated Jun 27, 2025
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    HM Land Registry (2025). Price Paid Data [Dataset]. https://www.gov.uk/government/statistical-data-sets/price-paid-data-downloads
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    Dataset updated
    Jun 27, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    HM Land Registry
    Description

    Our Price Paid Data includes information on all property sales in England and Wales that are sold for value and are lodged with us for registration.

    Get up to date with the permitted use of our Price Paid Data:
    check what to consider when using or publishing our Price Paid Data

    Using or publishing our Price Paid Data

    If you use or publish our Price Paid Data, you must add the following attribution statement:

    Contains HM Land Registry data © Crown copyright and database right 2021. This data is licensed under the Open Government Licence v3.0.

    Price Paid Data is released under the http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/" class="govuk-link">Open Government Licence (OGL). You need to make sure you understand the terms of the OGL before using the data.

    Under the OGL, HM Land Registry permits you to use the Price Paid Data for commercial or non-commercial purposes. However, OGL does not cover the use of third party rights, which we are not authorised to license.

    Price Paid Data contains address data processed against Ordnance Survey’s AddressBase Premium product, which incorporates Royal Mail’s PAF® database (Address Data). Royal Mail and Ordnance Survey permit your use of Address Data in the Price Paid Data:

    • for personal and/or non-commercial use
    • to display for the purpose of providing residential property price information services

    If you want to use the Address Data in any other way, you must contact Royal Mail. Email address.management@royalmail.com.

    Address data

    The following fields comprise the address data included in Price Paid Data:

    • Postcode
    • PAON Primary Addressable Object Name (typically the house number or name)
    • SAON Secondary Addressable Object Name – if there is a sub-building, for example, the building is divided into flats, there will be a SAON
    • Street
    • Locality
    • Town/City
    • District
    • County

    May 2025 data (current month)

    The May 2025 release includes:

    • the first release of data for May 2025 (transactions received from the first to the last day of the month)
    • updates to earlier data releases
    • Standard Price Paid Data (SPPD) and Additional Price Paid Data (APPD) transactions

    As we will be adding to the April data in future releases, we would not recommend using it in isolation as an indication of market or HM Land Registry activity. When the full dataset is viewed alongside the data we’ve previously published, it adds to the overall picture of market activity.

    Your use of Price Paid Data is governed by conditions and by downloading the data you are agreeing to those conditions.

    Google Chrome (Chrome 88 onwards) is blocking downloads of our Price Paid Data. Please use another internet browser while we resolve this issue. We apologise for any inconvenience caused.

    We update the data on the 20th working day of each month. You can download the:

    Single file

    These include standard and additional price paid data transactions received at HM Land Registry from 1 January 1995 to the most current monthly data.

    Your use of Price Paid Data is governed by conditions and by downloading the data you are agreeing to those conditions.

    The data is updated monthly and the average size of this file is 3.7 GB, you can download:

    • <a re

  8. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
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Click to copy link
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Close
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Zion Market Research (2025). In-Memory Database Market By Data Type (SQL, Relational Data Type, And NEWSQL), By Application (Reporting, Transaction, And Analytics), By Vertical (Retail, Health Care, Education, Public Sector, BFSI, Telecom, Energy, Automobile, And Others), and By Region: Global Industry Analysis, Size, Share, Growth, Trends, Value, and Forecast, 2024-2032- [Dataset]. https://www.zionmarketresearch.com/report/in-memory-database-market

In-Memory Database Market By Data Type (SQL, Relational Data Type, And NEWSQL), By Application (Reporting, Transaction, And Analytics), By Vertical (Retail, Health Care, Education, Public Sector, BFSI, Telecom, Energy, Automobile, And Others), and By Region: Global Industry Analysis, Size, Share, Growth, Trends, Value, and Forecast, 2024-2032-

Explore at:
pdfAvailable download formats
Dataset updated
Jul 8, 2025
Dataset authored and provided by
Zion Market Research
License

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

Time period covered
2022 - 2030
Area covered
Global
Description

Global In-memory database market is expected to revenue of around USD 36.21 billion by 2032, growing at a CAGR of 19.2% between 2024 and 2032.

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