Manual backups can waste your time and it’s difficult to keep them under control. Learn how to automate your database backups and ensure data integrity with DBeaver. https://hubs.li/Q02QnYp60
About us
DBeaver Corporation is an information technology company with 20 years of experience developing database management tools. We create a full-featured data solution that easily adapts to users' needs, from open-source tools to all-in-one enterprise software.
- Website
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https://dbeaver.com/
External link for DBeaver
- Industry
- IT System Data Services
- Company size
- 51-200 employees
- Headquarters
- New York, NY
- Type
- Self-Employed
- Founded
- 2017
- Specialties
- IT, Database, Administration, Analysis, SQL, NoSQL, BigData, Development tools, Analytic tools, and Data management
Locations
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Primary
165 Broadway 23d floor
New York, NY 10006, US
Employees at DBeaver
Updates
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Managing the complex hierarchical structure of Firestore can be a complicated task for those who are used to traditional relational databases. Integrating this driver and making life easier for our users was a real challenge for the DBeaver team. You can judge whether we did it or not, and we described how and why we did it. With Firestore support, users can now work with data in familiar grid or JSON formats and easily manage nested collections using a special sub-collections tab. These new features simplify tasks such as viewing, editing, and organizing Firestore data. If you work with Firestore, learn how DBeaver can make database management more intuitive and efficient: https://hubs.ly/Q02P-6BW0
How DBeaver Helps Streamline the Complexities of Firestore
https://dbeaver.com
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DBeaver 24.2 is here. Whether you're a long-time user or considering adopting it as your primary database tool, these PRO updates can improve your database management experience. DBeaver 24.2 highlights: Seamless Migration: Easily import settings from IntelliJ IDEA, DbVisualizer, and MySQL Workbench. Save time and effort when transitioning to DBeaver or consolidating your database work. Enhanced SQL Editor with Smart Tooltips: Tooltips provide detailed semantic error explanations, helping you catch and fix issues faster. Advanced Data Comparison: You can now compare the output of two different queries to quickly identify discrepancies in your data transformations. Simple Transition to Team Edition: Move your projects from individual DBeaver PRO to Team Edition, preserving all your configurations and settings. This is particularly useful when scaling up your team's database operations, ensuring everyone has access to the same project setup without manual reconfiguration. These updates are designed to make your database management more efficient and your workflow smoother. Discover all the new features and improvements in DBeaver 24.2: https://hubs.li/Q02Pcjvy0 Upgrade to DBeaver PRO products today to see how these new tools enhance your work. Visit our website to choose the right Edition for your needs and start your upgrade: https://hubs.li/Q02Pc8cb0
DBeaver 24.2 - DBeaver
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The rise of cloud databases brings new challenges for businesses. Managing these databases efficiently is crucial. Cloud Explorer in DBeaver Team Edition can help you connect to and manage your database configurations hosted on major cloud platforms like AWS, Google Cloud, or Azure. Cloud Explorer supports both relational and document-oriented databases. Data analysts, for example, can seamlessly switch between connecting to AWS Redshift for structured data and working with AWS DynamoDB or DocumentDB for NoSQL data without the constant need to re-enter credentials. If your team spends too much time on configuration management, Cloud Explorer can simplify the process and boost productivity. Learn more here: https://hubs.li/Q02P7vnV0
How to use Cloud Explorer in DBeaver Team Edition
https://dbeaver.com
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For the third year in a row, we are excited to attend Oracle CloudWorld in Las Vegas from September 9th to 11th. This is one of the largest conferences for the cloud database community. Visit booth #130 during the three days to ask our CEO Tatiana Krupenya questions and explore Oracle data sources in our products. Attendees will have the opportunity to get exclusive plush beavers and other DBeaver merch. Please join us: https://hubs.li/Q02NpJV50
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If you are struggling to connect to the Oracle database, you can solve this issue in just three minutes with DBeaver. Watch this video tutorial from our user, which explains the process step-by-step: https://lnkd.in/drQpfRmp
How to create Oracle connection in DBeaver?
https://www.youtube.com/
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Is it possible to visualize data from a document-oriented database or analyze a set of unstructured documents? Our CEO, Tatiana Krupenya, answered these questions and shared best practices and workarounds in her talk for Document Database Community: https://lnkd.in/eNXGRQNH
Data visualization difficulties in document databases | Webinar
https://www.youtube.com/
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While real beavers are building dams, the Beavers in our team keep building apps for you. We talked with Elizabeth, our software developer, to uncover how she supports the community and improves the SQL Editor. Read the new Interview with Beavers in our series: https://hubs.li/Q02Mxflt0
Interview with Beavers: Elizabeth, Software Engineers
https://dbeaver.com
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Losing track of database changes? DBeaver's Git integration can help! This tutorial from our user walks through creating repositories, committing changes, and pulling updates to keep your code organized, collaborate effectively, and protect your work: https://hubs.li/Q02Hd4jS0
DBeaver and GitHub Tutorial: Version Control Your Code
https://www.youtube.com/
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If you want to simplify data analysis and streamline team workflows, Datasets and Charts in DBeaver Team Edition can help. Editor and Viewer roles now have access precisely to the data they need to perform daily tasks, making it easier to manage large-scale data projects where different team members need access to specific subsets of information. Charts in Team Edition allow users to transform data into visual representations, such as bar and pie charts, to quickly identify trends and patterns in large data sets. More about these features and how they are utilized to modernize teamwork: https://hubs.li/Q02HC99b0
How to use datasets and charts in Team Edition
https://dbeaver.com