Google Cloud Datastore is a fully managed, NoSQL database service designed to handle large amounts of structured data. It offers automatic scaling, high availability, and a flexible schema, making it suitable for web and mobile applications.
Top 5*
Database Technologies

About Google Cloud Datastore
Google Cloud Datastore was introduced by Google in 2013 as part of its cloud platform. It was developed to provide a scalable, fully managed NoSQL database solution for handling large volumes of structured data for web and mobile applications.
Strengths of Google Cloud Datastore include automatic scaling, high availability, and a flexible schema. Weaknesses include potential complexity in querying and higher costs for large-scale operations. Competitors are Amazon DynamoDB, Microsoft Azure Cosmos DB, and MongoDB Atlas.
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How to hire a Google Cloud Datastore expert
A Google Cloud Datastore expert must have skills in NoSQL database design, proficiency in GQL (Google Query Language), experience with Google Cloud Platform services, knowledge of data modeling and indexing, and familiarity with programming languages like Python or Java for integration.

Matheus M.
Skills
A Software Developer with over two years of experience, specializing in back-end development, particularly in the areas of payment processing applications, including authorizers, sub-acquiring, and recurring payment systems. Demonstrates proficiency in Java, Spring Boot, Kotlin, Lombok, and microservices architecture. Presently, emphasis is being placed on advancing skills in Docker and AWS.

Guilherme M.
Skills
Fullstack Programmer with extensive experience exceeding six years in Backend and Frontend development. Proficient in Java, TypeScript, and JavaScript programming languages, and skilled in utilizing frameworks such as Spring, Quarkus, React, and Angular.

Thalles F.
Skills
Back-end Developer with over a decade of experience in web development and infrastructure, specializing in managing high-traffic applications with daily visits reaching up to 5 million. Possesses strong proficiency in functional programming, object-oriented programming (OOP), and languages including PHP, Java, and JavaScript. Focus areas include application scalability, infrastructure development, adherence to best development practices, Test Driven Development (TDD), and Behavior Driven Development (BDD).

Letícia C.
Skills
Graduated in Analysis and Development of Systems from UNOPAR, the professional began their career in the technology sector as an IT Support intern during the final six months of undergraduate studies at the Institute of Criminalistics - Technical Scientific Police Department of Amazonas State. Specializing in Quality Assurance early in their academic journey, they secured their first role as a Trainee Test Analyst in September 2021.
Over a span of two years, substantial experience was gained working on Mobile and Web projects, where technical competency was established in manual testing on embedded systems, automated test execution using C and C++ function calls, and implementing automated tests with Cypress. Proficiency was also developed in documenting test cases, employing Agile methodologies like Scrum and Kanban, utilizing Behavior-Driven Development (BDD) for creating test scenarios, performing mobile tests on both Android and iOS platforms, and using Jira for bug reporting.
In the most recent role, the professional was involved in projects related to financial products within the Insurance context. For the Pix Insurance project, responsibilities included performing manual backend tests and integrating with frontend components on Android and iOS devices. Post-completion of this project, they engaged in the Protected Card Insurance project, focusing on end-to-end development from creating BDD-based test scenarios to conducting API and integrated tests on Android and iOS, including integration with third-party teams. This role culminated in presenting the project's outcomes to team members and clients during a review meeting.

Leonardo L.
Skills
Commencing a career in 2006 as a technical support specialist, transitioned to a software engineer role in 2012, focusing on web systems. Expertise includes creating workflows and managing issues using tools such as Jira and Trello. Diverse project experience includes collaboration with various teams, primarily engaging in projects involving PHP, Laravel, PostgreSQL, and MySQL for web application maintenance and business solutions. Emphasis on teamwork and contributing to company growth.
Possessing an understanding of architectures and design patterns for code maintenance and scalability, with a strong commitment to good practices in software development such as SOLID principles, Clean Code, DRY, and KISS. Skilled in refactoring legacy systems, and employing practices like Pair Programming, Refactoring, and Code Reviews. Over eight years of experience with PHP.
Technical proficiencies encompass PHP (versions 5.6 and 7.x), Shell, Bash, MySQL, PostgreSQL, HTML, CSS, JavaScript, JQuery, VueJS, Composer, NPM, Git, CI/CD platforms (Jenkins, GitLab CI), and Docker. Proficient with both Linux and Windows operating systems. Adept in agile methodologies (Kanban and Scrum) with over five years of practical experience. Proficient in reading and writing English, with a strong foundation in SOLID principles and Clean Code practices.
Currently learning the Go programming language.

Lucas S.
Skills
A seasoned Web Developer with 12 years of expertise in the industry and a comprehensive background in a variety of market technologies. Demonstrates extensive proficiency in PHP, Laravel, MySQL, Postgres, and Git, among other technologies.

Marcelo G.
Skills
A dedicated team player with a strong commitment to task completion, demonstrating dynamism and focus in all professional endeavors.

Marcelo H.
Skills
Business Intelligence applications developer since 2018, possessing extensive expertise in data processing through the utilization of QlikView, Power BI, R, and Excel, along with foundational knowledge in Python.
*Estimations are based on information from Glassdoor, salary.com and live Howdy data.
USA
$ 224K
Employer Cost
$ 127K
Employer Cost
$ 97K
Benefits + Taxes + Fees
Salary
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