In March 2025, a total of 346 database solutions were available to customers on the Google Cloud Platform (GCP) marketplace. Most tools belonged to the virtual machines type, with 149 tools, followed by the software as a service (SaaS) and APIs type, with 127.

Business Listings Database is the source of point-of-interest data and can provide you with all the information you need to analyze how specific places are used, what kinds of audiences they attract, and how their visitor profile changes over time.

The full fields description may be found on this page: https://docs.dataforseo.com/v3/databases/business_listings/?bash

You can check the fields description in the documentation: regular SERP: https://docs.dataforseo.com/v3/databases/google/serp_regular/?bash; Advanced SERP: https://docs.dataforseo.com/v3/databases/google/serp_advanced/?bash; Historical SERP: https://docs.dataforseo.com/v3/databases/google/history/serp_advanced/?bash You don’t have to download fresh data dumps in JSON or CSV – we can deliver data straight to your storage or database. We send terrabytes of data to dozens of customers every month using Amazon S3, Google Cloud Storage, Microsoft Azure Blob, Eleasticsearch, and Google Big Query. Let us know if you’d like to get your data to any other storage or database.

You can check the fields description in the documentation: current Full database: https://docs.dataforseo.com/v3/databases/google/full/?bash; Historical Full database: https://docs.dataforseo.com/v3/databases/google/history/full/?bash.

Full Google Database is a combination of the Advanced Google SERP Database and Google Keyword Database.

Google SERP Database offers millions of SERPs collected in 67 regions with most of Google’s advanced SERP features, including featured snippets, knowledge graphs, people also ask sections, top stories, and more.

Google Keyword Database encompasses billions of search terms enriched with related Google Ads data: search volume trends, CPC, competition, and more.

This database is available in JSON format only.

You don’t have to download fresh data dumps in JSON – we can deliver data straight to your storage or database. We send terrabytes of data to dozens of customers every month using Amazon S3, Google Cloud Storage, Microsoft Azure Blob, Eleasticsearch, and Google Big Query. Let us know if you’d like to get your data to any other storage or database.

Google searches of sensitive terms

United States Google Search Trends: Government Measures: Government Subsidy data was reported at 0.000 Score in 06 Mar 2025. This stayed constant from the previous number of 0.000 Score for 05 Mar 2025. United States Google Search Trends: Government Measures: Government Subsidy data is updated daily, averaging 0.000 Score from Dec 2021 (Median) to 06 Mar 2025, with 1192 observations. The data reached an all-time high of 0.000 Score in 06 Mar 2025 and a record low of 0.000 Score in 06 Mar 2025. United States Google Search Trends: Government Measures: Government Subsidy data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s United States – Table US.Google.GT: Google Search Trends: by Categories.

You can check the fields description in the documentation: current Keyword database: https://docs.dataforseo.com/v3/databases/google/keywords/?bash; Historical Keyword database: https://docs.dataforseo.com/v3/databases/google/history/keywords/?bash. You don’t have to download fresh data dumps in JSON or CSV – we can deliver data straight to your storage or database. We send terrabytes of data to dozens of customers every month using Amazon S3, Google Cloud Storage, Microsoft Azure Blob, Eleasticsearch, and Google Big Query. Let us know if you’d like to get your data to any other storage or database.

description:

GRIN-Global (GG) is a database application that enables genebanks to store and manage information associated with plant genetic resources (germplasm) and deliver that information globally. The GRIN-Global project's mission is to provide a scalable version of the Germplasm Resource Information Network (GRIN) suitable for use by any interested genebank in the world. The GRIN-Global database platform has been and is being implemented at various genebanks around the world. The first version, 1.0.7, was released in December, 2011 in a joint effort by the Global Crop Diversity Trust, Bioversity International, and the Agricultural Research Service of the USDA. The U.S. National Plant Germplasm System version (1.9.4.2) entered into production on November 30, 2015.

Typically set up in a networked environment, GG can also run stand-alone on a single personal computer. GG has been developed with open source software and its source code is available, and Genebanks can thus tailor GG to meet their specific requirements. GG comprises a suite of programs, including a Curator Tool, Updater, Search Tool, Admin Tool, and Public Website with Shopping Cart. Through the Public Website, researchers can access germplasm information; search the entire GG database and download results; and order germplasm from the genebank. Data are also associated with Google Maps.

Current installations include Bolivia (INIAF), Chile (INIA), CIMMYT (CGIAR), Czech Republic (Crop Research Institute), Portugal (INIAV), USDA (NPGS), Tunisia (BNG), CIP (CGIAR), Genetic Resources of Madeira Island (Portugal), CIAT (CGIAR) with many others under evaluation.

GRIN-Global (GG) is a database application that enables genebanks to store and manage information associated with plant genetic resources (germplasm) and deliver that information globally. The GRIN-Global project's mission is to provide a scalable version of the Germplasm Resource Information Network (GRIN) suitable for use by any interested genebank in the world. The GRIN-Global database platform has been and is being implemented at various genebanks around the world. The first version, 1.0.7, was released in December, 2011 in a joint effort by the Global Crop Diversity Trust, Bioversity International, and the Agricultural Research Service of the USDA. The U.S. National Plant Germplasm System version (1.9.4.2) entered into production on November 30, 2015.

Typically set up in a networked environment, GG can also run stand-alone on a single personal computer. GG has been developed with open source software and its source code is available, and Genebanks can thus tailor GG to meet their specific requirements. GG comprises a suite of programs, including a Curator Tool, Updater, Search Tool, Admin Tool, and Public Website with Shopping Cart. Through the Public Website, researchers can access germplasm information; search the entire GG database and download results; and order germplasm from the genebank. Data are also associated with Google Maps.

Current installations include Bolivia (INIAF), Chile (INIA), CIMMYT (CGIAR), Czech Republic (Crop Research Institute), Portugal (INIAV), USDA (NPGS), Tunisia (BNG), CIP (CGIAR), Genetic Resources of Madeira Island (Portugal), CIAT (CGIAR) with many others under evaluation.

The Database Migration Solutions market is experiencing robust growth, driven by the increasing adoption of cloud computing, the need for data modernization, and the rising demand for improved data management capabilities across diverse sectors. The market, estimated at $15 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching an estimated market value of $45 billion by 2033. This growth is fueled by several key factors, including the expanding adoption of cloud-native applications requiring seamless data migration, the growing prevalence of hybrid cloud environments mandating efficient data transfer, and the stringent regulatory requirements driving data security and compliance upgrades. Significant investments in digital transformation initiatives by enterprises across various industries, including finance, government, and telecommunications, are further accelerating market expansion. The market segmentation reveals a strong preference for live migration solutions over backup migration, reflecting a growing need for minimal downtime during database transitions. Geographically, North America currently holds the largest market share, followed by Europe and Asia-Pacific. However, the Asia-Pacific region is projected to exhibit the fastest growth rate during the forecast period due to increasing digitalization and cloud adoption in developing economies like India and China. Competitive pressures are intense, with major cloud providers like AWS, Google Cloud, and Azure, as well as specialized migration solution vendors, vying for market share. Despite the overall positive outlook, challenges such as data security concerns, the complexity of migration processes, and the potential for disruptions during migration remain significant restraints. The market is poised for continued expansion, driven by technological innovation and the ever-increasing reliance on efficient data management.

The risk of bias and applicability concerns of the included studies based on PROBAST.

Google Search Trends: Online Training: Udemy data was reported at 7.000 Score in 20 Mar 2025. This records an increase from the previous number of 0.000 Score for 19 Mar 2025. Google Search Trends: Online Training: Udemy data is updated daily, averaging 0.000 Score from Dec 2021 (Median) to 20 Mar 2025, with 1206 observations. The data reached an all-time high of 100.000 Score in 10 Aug 2024 and a record low of 0.000 Score in 19 Mar 2025. Google Search Trends: Online Training: Udemy data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s Laos – Table LA.Google.GT: Google Search Trends: by Categories.

The Global Power Plant Database is a comprehensive, open source database of power plants around the world. It centralizes power plant data to make it easier to navigate, compare and draw insights. Each power plant is geolocated and entries contain information on plant capacity, generation, ownership, and fuel type. As …

Google, Inc. Whois Database, discover comprehensive ownership details, registration dates, and more for Google, Inc. with Whois Data Center.

This dataset includes bibliographic information for 501 papers that were published from 2010-April 2017 (time of search) and use online biodiversity databases for research purposes. Our overarching goal in this study is to determine how research uses of biodiversity data developed during a time of unprecedented growth of online data resources. We also determine uses with the highest number of citations, how online occurrence data are linked to other data types, and if/how data quality is addressed. Specifically, we address the following questions:

1.) What primary biodiversity databases have been cited in published research, and which

 databases have been cited most often?

2.) Is the biodiversity research community citing databases appropriately, and are

 the cited databases currently accessible online?

3.) What are the most common uses, general taxa addressed, and data linkages, and how

 have they changed over time?

4.) What uses have the highest impact, as measured through the mean number of citations

 per year?

5.) Are certain uses applied more often for plants/invertebrates/vertebrates?

6.) Are links to specific data types associated more often with particular uses?

7.) How often are major data quality issues addressed?

8.) What data quality issues tend to be addressed for the top uses?

Relevant papers for this analysis include those that use online and openly accessible primary occurrence records, or those that add data to an online database. Google Scholar (GS) provides full-text indexing, which was important to identify data sources that often appear buried in the methods section of a paper. Our search was therefore restricted to GS. All authors discussed and agreed upon representative search terms, which were relatively broad to capture a variety of databases hosting primary occurrence records. The terms included: “species occurrence” database (8,800 results), “natural history collection” database (634 results), herbarium database (16,500 results), “biodiversity database” (3,350 results), “primary biodiversity data” database (483 results), “museum collection” database (4,480 results), “digital accessible information” database (10 results), and “digital accessible knowledge” database (52 results)--note that quotations are used as part of the search terms where specific phrases are needed in whole. We downloaded all records returned by each search (or the first 500 if there were more) into a Zotero reference management database. About one third of the 2500 papers in the final dataset were relevant. Three of the authors with specialized knowledge of the field characterized relevant papers using a standardized tagging protocol based on a series of key topics of interest. We developed a list of potential tags and descriptions for each topic, including: database(s) used, database accessibility, scale of study, region of study, taxa addressed, research use of data, other data types linked to species occurrence data, data quality issues addressed, authors, institutions, and funding sources. Each tagged paper was thoroughly checked by a second tagger.

The final dataset of tagged papers allow us to quantify general areas of research made possible by the expansion of online species occurrence databases, and trends over time. Analyses of this data will be published in a separate quantitative review.

Fork this notebook to get started on accessing data in the BigQuery dataset by writing SQL queries using the BQhelper module.

Context

Google Patents Public Data, provided by IFI CLAIMS Patent Services, is a worldwide bibliographic and US full-text dataset of patent publications. Patent information accessibility is critical for examining new patents, informing public policy decisions, managing corporate investment in intellectual property, and promoting future scientific innovation. The growing number of available patent data sources means researchers often spend more time downloading, parsing, loading, syncing and managing local databases than conducting analysis. With these new datasets, researchers and companies can access the data they need from multiple sources in one place, thus spending more time on analysis than data preparation.

Content

The Google Patents Public Data dataset contains a collection of publicly accessible, connected database tables for empirical analysis of the international patent system.

Acknowledgements

Data Origin: https://bigquery.cloud.google.com/dataset/patents-public-data:patents

For more info, see the documentation at https://developers.google.com/web/tools/chrome-user-experience-report/

“Google Patents Public Data” by IFI CLAIMS Patent Services and Google is licensed under a Creative Commons Attribution 4.0 International License.

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Footnotes: CD: Clostridium difficile, CDI: Clostridium difficile infection, EIA: enzyme immunoassay, ICA: immune chromatographicassay, NR: not reported, PCR: polymerase chain reaction, RIA: radio immunoassayIndividual Studies.

The World Database on Protected Areas (WDPA) is the most up-to-date and complete source of information on protected areas, updated monthly with submissions from governments, non-governmental organizations, landowners, and communities. It is managed by the United Nations Environment Programme's World Conservation Monitoring Centre (UNEP-WCMC) with support from IUCN and its …

902 Global export shipment records of Google Pixel with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Explore our expansive keyword database, housing 7.2 billion keywords across 229 countries, alongside detailed SERP results. Discover insights into search volume, keyword difficulty, CPC, competition, special search elements, and social domains.

Our database offers flexibility, available for purchase as the entire dataset or customizable subsets. With regular refreshes and a polishing option before sharing, ensure you're equipped with the most accurate and up-to-date information for informed decision-making and strategic planning in SEO and marketing endeavours.