Best Data Management Software for Visual Studio Code

Deepnote is building the best data science notebook for teams. Connect your data, explore and analyze it within the notebook with real-time collaboration and versioning. Share links to your projects with other analysts and data scientists on your team, or present your polished, published notebooks to end users and stakeholders. All of this is done through a powerful, browser-based UI that runs in the cloud.

Trino is an engine that runs at incredible speeds. Fast-distributed SQL engine for big data analytics. Helps you explore the data universe. Trino is an extremely parallel and distributed query-engine, which is built from scratch for efficient, low latency analytics. Trino is used by the largest organizations to query data lakes with exabytes of data and massive data warehouses. Supports a wide range of use cases including interactive ad-hoc analysis, large batch queries that take hours to complete, and high volume apps that execute sub-second queries. Trino is a ANSI SQL query engine that works with BI Tools such as R Tableau Power BI Superset and many others. You can natively search data in Hadoop S3, Cassandra MySQL and many other systems without having to use complex, slow and error-prone copying processes. Access data from multiple systems in a single query.

Coder offers self-hosted cloud development environments, provisioned as code and ready for developers from day one. Favored by enterprises, Coder is open source and can be deployed air-gapped on-premise or in your cloud, ensuring powerful infrastructure access without sacrificing governance. By shifting local development and source code to a centralized infrastructure, Coder allows developers to access their remote environments via their preferred desktop or web-based IDE. This approach enhances developer experience, productivity, and security. With Coder’s ephemeral development environments, provisioned as code from pre-defined templates, developers can instantly create new workspaces. This streamlines the process, eliminating the need to deal with local dependency versioning issues or lengthy security approvals. Coder enables developers to onboard or switch projects in a matter of minutes.

DQOps is a data quality monitoring platform for data teams that helps detect and address quality issues before they impact your business. Track data quality KPIs on data quality dashboards and reach a 100% data quality score. DQOps helps monitor data warehouses and data lakes on the most popular data platforms. DQOps offers a built-in list of predefined data quality checks verifying key data quality dimensions. The extensibility of the platform allows you to modify existing checks or add custom, business-specific checks as needed. The DQOps platform easily integrates with DevOps environments and allows data quality definitions to be stored in a source repository along with the data pipeline code.

Scalable cloud functions can be built without leaving the browser. Start with no-code and extend it with code.

Focus on application innovation and not database management with a fully-managed and intelligent Azure Database PostgreSQL. Scale up your workload with confidence and ease. Enjoy high availability thanks to a service level agreement (SLA) that guarantees up to 99.99% uptime, AI-powered performance suggestions, and built-in enterprise safety. With a fully-managed PostgreSQL as a service, you can focus on application innovation. The zone-redundant, high availability automates updates, patches, and maintenance. You can provision in minutes, and you can independently scale compute or store. Reduce costs with database monitoring and optimization tools. Intelligent performance recommendations can help you achieve peak performance. Migrate easily using a PostgreSQL fully managed database that supports the latest versions. Build with your favorite PostgreSQL Extensions such as Cron PostGIS PLV8 etc.

In no time, you can go from simple web applications to production-ready ones. No compromises on performance, customization and scalability. Taipy optimizes rendering by caching graphical events and enhancing performance. Taipy's decimator for charts intelligently reduces the number of datapoints to save memory and time without losing the essence. Every data point requires processing, resulting in slow performance and excessive memory usage. Large datasets can be cumbersome and complicate data analysis. Taipy Studio makes it easy to create scenarios. A powerful VS Code Extension that unlocks a convenient graphical Editor. You can schedule your methods to be invoked at certain times or intervals. You can choose from a wide range of predefined themes, or create your own.

The Databricks Data Intelligence Platform enables your entire organization to utilize data and AI. It is built on a lakehouse that provides an open, unified platform for all data and governance. It's powered by a Data Intelligence Engine, which understands the uniqueness in your data. Data and AI companies will win in every industry. Databricks can help you achieve your data and AI goals faster and easier. Databricks combines the benefits of a lakehouse with generative AI to power a Data Intelligence Engine which understands the unique semantics in your data. The Databricks Platform can then optimize performance and manage infrastructure according to the unique needs of your business. The Data Intelligence Engine speaks your organization's native language, making it easy to search for and discover new data. It is just like asking a colleague a question.

Your PICK system's future requires a database platform that is constantly evolving to meet today's needs. jBASE has been officially certified for Docker containers. This includes built-in support of the MongoDB NoSQL databank and standard APIs to Salesforce, Avalara and dozens more platforms. Developers will find new enhancements to Objects. We believe in PICK and continue to invest in JBASE. We have seen 6 years of growth, while others see a decline. We care about your long-term success. In fact, we have not seen a maintenance price rise in decades. We collaborate with others and make jBASE work with modern technologies such as Mongo, Docker and Salesforce. Migration routes from other PICK databases are now much simpler, licensing supports flexible CPU and SaaS models, and our inline operating system approach ensures unmatched scalability and stability.

Beacon Core is an integrated platform that aims to increase developer productivity. Beacon Core features enterprise-scale elastic cloud infrastructure and a modern data warehouse. It also includes collaborative developer tools, automation and a controlled production environment. With Beacon's controls workflow, developers can release the new feature to production once they are satisfied with it. Source code is categorized with different controls attached to each category so that new features that don't affect risk can be released within the day. Beacon's controls workflow was developed in global investment banks to encourage innovation within a highly regulated, tightly controlled environment. We can help you modify Beacon's workflow so that innovation and control are balanced. You can automate manual tasks using our user-friendly batch job scheduler so you can concentrate on adding value to your business.