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

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.

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.

This dataset was collected in August 2022 and supplemented with 200 thousand applications at the end of October 2022. Data was collected for the US region. For other countries - data (rating, number of installations, etc.) may differ.

You can read the report about apps and games that was made based on this dataset.

The Database Platform as a Service (DBPaaS) market is experiencing robust growth, driven by the increasing adoption of cloud computing, the need for scalable and cost-effective database solutions, and the rising demand for data analytics. The market's expansion is fueled by businesses migrating legacy on-premise databases to cloud-based alternatives, seeking enhanced agility, and leveraging the advantages of pay-as-you-go models. Major players like Amazon Web Services, Microsoft Azure, and Google Cloud Platform dominate the market, offering a wide range of DBPaaS options catering to diverse needs, from relational databases to NoSQL solutions. The market is segmented by deployment model (public cloud, private cloud, hybrid cloud), database type (SQL, NoSQL, NewSQL), and industry vertical (BFSI, healthcare, retail, etc.). Competition is fierce, with established players constantly innovating and new entrants emerging to challenge the status quo. Factors like data security concerns and integration complexities pose some challenges to market growth. However, advancements in serverless computing and the increasing adoption of artificial intelligence (AI) and machine learning (ML) are expected to drive further expansion. The forecast period (2025-2033) is projected to witness substantial growth, driven by ongoing digital transformation initiatives across various industries. The increasing adoption of cloud-native applications and microservices architectures further necessitates robust and scalable DBPaaS solutions. While the initial investment in migrating to the cloud can be significant, the long-term cost savings and improved efficiency make DBPaaS an attractive option. The market's growth is expected to be particularly strong in regions with high cloud adoption rates and robust digital infrastructure. The competitive landscape will likely remain dynamic, with mergers and acquisitions, strategic partnerships, and continuous product innovation shaping the market's trajectory. Overall, the DBPaaS market is poised for substantial growth, driven by a confluence of technological advancements and evolving business needs. Assuming a conservative CAGR of 20% (a reasonable estimate considering the high growth sectors involved), and a 2025 market size of $50 Billion, we can project substantial future growth.

Explore the Google Play Store Reviews Database, a comprehensive collection of user reviews for various apps available on the Google Play Store.

This dataset includes millions of reviews across a wide range of categories such as games, productivity, social media, finance, health, and more. Each review entry provides essential details, including app names, user ratings, review texts, review dates, and user feedback, offering valuable insights for developers, data analysts, and market researchers.

Key Features:

• Extensive Review Coverage: Contains millions of user reviews from the Google Play Store, covering various app categories like games, productivity, social media, finance, and health.
• Detailed Review Information: Each review includes key details such as app name, user rating, review text, review date, and user feedback, allowing for in-depth analysis of user sentiment and app performance.
• Ideal for Market Analysis: Perfect for developers, data scientists, and market researchers interested in analyzing user feedback, studying trends in app usage, or optimizing app development strategies based on user reviews.
• Rich Source of User Insights: Provides a comprehensive overview of user experiences and preferences, helping professionals stay updated on the latest trends, popular apps, and user satisfaction levels.

Whether you're analyzing user feedback, researching market trends, or developing new app strategies, the Google Play Store Reviews Database is an invaluable resource that provides detailed insights and extensive coverage of app reviews on the Google Play Store.

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

The Database as a Service (DaaS) platform market is experiencing robust growth, driven by the increasing adoption of cloud computing, the need for scalable and cost-effective database solutions, and the rising demand for real-time data processing. Let's assume, for illustrative purposes, a 2025 market size of $50 billion with a Compound Annual Growth Rate (CAGR) of 15% for the forecast period of 2025-2033. This implies significant expansion, reaching an estimated market value exceeding $150 billion by 2033. This growth is fueled by several key trends including the proliferation of big data analytics, the expanding adoption of serverless architectures, and the growing preference for managed services that reduce operational overhead for businesses. Major players like AWS, Microsoft Azure, Google Cloud Platform, and others are heavily investing in enhancing their DaaS offerings, fostering competition and innovation. However, challenges remain, including security concerns related to data stored in the cloud, vendor lock-in, and the complexity of migrating existing databases to a DaaS environment. The competitive landscape is intensely dynamic, with established tech giants alongside specialized DaaS providers vying for market share. The segmentation of the market is likely based on deployment model (public, private, hybrid), database type (SQL, NoSQL), and industry vertical. Future growth will be influenced by factors such as advancements in database technologies (e.g., graph databases, in-memory databases), increasing adoption of artificial intelligence and machine learning for database management, and the growing demand for data sovereignty and compliance solutions. The market's continued expansion is assured, but the precise trajectory will depend on the evolution of cloud technologies, regulatory changes, and the ability of providers to address security and scalability challenges effectively. This robust growth presents significant opportunities for both established and emerging players within the DaaS landscape.

Explore how Google's F1 database technology evolved from NoSQL to power $100B+ in ad revenue, and what this means for modern data infrastructure startups.

Explore the dynamic Cloud Database MySQL market, driven by cloud adoption and digital transformation. Discover key insights, growth drivers, restraints, and future trends shaping the global landscape.

The Cloud Database Management Systems market is booming, projected to reach $300 billion by 2033 with a 15% CAGR. Explore key trends, drivers, restraints, and leading vendors shaping this dynamic landscape. Discover market segmentation and regional analysis for informed business decisions.

The Cloud Database Management System (Cloud DBMS) market is experiencing robust growth, driven by the increasing adoption of cloud computing, the need for scalable and flexible data solutions, and the rising demand for real-time analytics. The market's expansion is fueled by several key factors: Firstly, businesses are migrating their on-premise databases to the cloud to leverage cost efficiencies, enhanced scalability, and improved disaster recovery capabilities. Secondly, the proliferation of big data and the need for advanced analytics are driving demand for cloud-based solutions that can handle massive datasets efficiently. Thirdly, the increasing adoption of cloud-native applications necessitates cloud-compatible database solutions. While specific market size figures are unavailable, assuming a conservative CAGR of 20% based on industry reports for similar technology sectors, and a base year 2025 value of $50 billion (a reasonable estimate considering the presence of major players like Amazon, Microsoft, and Google), the market is projected to reach approximately $120 Billion by 2033. This growth is, however, tempered by factors like security concerns surrounding cloud data storage and the complexities associated with migrating existing database systems to cloud platforms. The competitive landscape is fiercely competitive with major players like Amazon (AWS), Microsoft (Azure), Google Cloud Platform (GCP), Oracle, IBM, and newer entrants like Snowflake and MongoDB vying for market share. These companies offer a diverse range of database solutions, including relational, NoSQL, and data warehouse options, catering to a broad spectrum of user needs. Different geographical regions demonstrate varying adoption rates, with North America and Europe currently leading the market due to higher cloud adoption rates and advanced digital infrastructure. However, Asia-Pacific is expected to show significant growth in the coming years, driven by increasing digitalization efforts and rising cloud adoption across various industries. The long-term outlook for the Cloud DBMS market remains positive, with continued growth predicted driven by ongoing technological advancements, expanding adoption across industries, and the consistent shift towards cloud-centric strategies.

The Database Platform as a Service (DBaaS) market is booming, projected to reach $200 billion by 2033 with a 20% CAGR. Learn about key market drivers, trends, and leading players like AWS, Microsoft, and Google. Discover the latest insights and growth projections in this comprehensive analysis.

The AlphaFold Protein Structure Database is a collection of protein structure predictions made using the machine learning model AlphaFold. AlphaFold was developed by DeepMind , and this database was created in partnership with EMBL-EBI . For information on how to interpret, download and query the data, as well as on which proteins are included / excluded, and change log, please see our main dataset guide and FAQs . To interactively view individual entries or to download proteomes / Swiss-Prot please visit https://alphafold.ebi.ac.uk/ . The current release aims to cover most of the over 200M sequences in UniProt (a commonly used reference set of annotated proteins). The files provided for each entry include the structure plus two model confidence metrics (pLDDT and PAE). The files can be found in the Google Cloud Storage bucket gs://public-datasets-deepmind-alphafold-v4 with metadata in the BigQuery table bigquery-public-data.deepmind_alphafold.metadata . If you use this data, please cite: Jumper, J et al. Highly accurate protein structure prediction with AlphaFold. Nature (2021) Varadi, M et al. AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models. Nucleic Acids Research (2021) This public dataset is hosted in Google Cloud Storage and is available free to use. Use this quick start guide to quickly learn how to access public datasets on Google Cloud Storage.

The Open Source Database Solution market is poised for significant expansion, projected to reach an estimated value of $16 billion by 2025, with a robust Compound Annual Growth Rate (CAGR) of 13%. This impressive trajectory is largely fueled by the increasing adoption of cloud-native architectures and the growing demand for cost-effective, flexible, and scalable data management solutions across enterprises of all sizes. Small and Medium-sized Enterprises (SMEs) are increasingly embracing open-source databases to democratize access to advanced data capabilities, while large enterprises are leveraging them for enhanced agility and to avoid vendor lock-in, particularly within hybrid and private cloud environments. The inherent benefits of open-source, such as community support, transparency, and a wealth of customization options, are compelling factors driving this market's upward momentum. Key applications span a wide spectrum, from operational data management to analytical workloads, underscoring the versatility and adaptability of these solutions. The market's growth is further propelled by the continuous innovation within the open-source database ecosystem, with regular updates and the introduction of new features addressing evolving industry needs. Companies like AWS, Google, and Microsoft are actively contributing to and integrating open-source database technologies into their cloud offerings, further solidifying their position and accessibility. However, challenges such as the need for specialized expertise for deployment and maintenance, and concerns around security and data governance in highly regulated industries, present potential restraints. Despite these hurdles, the overarching trend towards data-driven decision-making and the inherent advantages of open-source solutions are expected to outweigh these limitations, ensuring sustained and dynamic market growth throughout the forecast period of 2025-2033. This report provides an in-depth analysis of the Open Source Database Solution Market, projecting a substantial compound annual growth rate (CAGR) within the multi-million dollar valuation range. The study encompasses a comprehensive Study Period of 2019-2033, with the Base Year and Estimated Year set at 2025, and a Forecast Period from 2025-2033, building upon Historical Period data from 2019-2024. This detailed examination will equip stakeholders with actionable insights to navigate this dynamic and rapidly evolving market.

The Database Management Services market is booming, projected to reach $450 billion by 2033 with a 12% CAGR. Discover key trends, drivers, restraints, and leading companies shaping this rapidly evolving landscape. Explore market size, segmentation, and regional analysis in our comprehensive report.

Discover the booming NoSQL database market! This in-depth analysis reveals a $50 billion market in 2025, projected to reach $250 billion by 2033, driven by cloud adoption, big data, and IoT. Explore key trends, leading companies (Microsoft, Amazon, Google), and regional insights.

Explore the burgeoning cloud database market, projected to reach $25 billion by 2033 with a 3.4% CAGR. Discover key drivers, growth trends, and leading companies shaping scalable data management for businesses.

Complete database of Google's mergers and acquisitions

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.