Best Data Management Software for Visual Studio Code
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Compare the Top Data Management Software that integrates with Visual Studio Code as of July 2026
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This a list of Data Management software that integrates with Visual Studio Code. Use the filters on the left to add additional filters for products that have integrations with Visual Studio Code. View the products that work with Visual Studio Code in the table below.
What is Data Management Software for Visual Studio Code?
Data management software systems are software platforms that help organize, store and analyze information. They provide a secure platform for data sharing and analysis with features such as reporting, automation, visualizations, and collaboration. Data management software can be customized to fit the needs of any organization by providing numerous user options to easily access or modify data. These systems enable organizations to keep track of their data more efficiently while reducing the risk of data loss or breaches for improved business security. Compare and read user reviews of the best Data Management software for Visual Studio Code currently available using the table below. This list is updated regularly.
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1
LM-Kit.NET
LM-Kit
LM-Kit.NET is a complete local AI runtime for .NET that lets engineering teams ship AI-powered features without cloud dependencies, per-token costs, or data leaving the network. Most .NET AI integrations stop at inference. LM-Kit.NET covers the full range of capabilities production applications actually need: agentic workflows with tool calling, planning, and memory; document intelligence with OCR and structured extraction; retrieval-augmented generation with built-in vector storage; multilingual speech-to-text; vision and multimodal understanding; text analysis with classification, NER, PII extraction, and sentiment; and text generation with translation, summarization, and constrained output. Ships in one NuGet package, runs in-process with no sidecar services, and works across all major hardware acceleration backends. Drop-in replacement for Semantic Kernel through its Microsoft.Extensions.AI compatibility layer.Starting Price: Free (Community) or $1000/year -
2
Anaconda
Anaconda
Anaconda is an AI-native development platform that helps teams move from experimentation to production with trusted open-source packages, governed environments, and production-grade orchestration. The platform provides a secure foundation for Python, data science, machine learning, and AI development across the full model lifecycle. Anaconda Core helps teams manage complex Python dependencies with validated packages, automated security scanning, and intelligent conflict resolution. The Anaconda Platform supports governed AI development so organizations can reduce broken environments, stalled deployments, and unmanaged open-source risk. Its trusted distribution is used by millions of users, developers, contributors, organizations, and Fortune 500 companies. Built for enterprise AI teams, Anaconda helps organizations accelerate open-source AI innovation while maintaining control, security, and governance. -
3
Posit
Posit
Posit builds tools that help data scientists work more efficiently, collaborate seamlessly, and share insights securely across their organizations. Its Positron code editor provides the speed of an interactive console combined with the power to build, debug, and deploy data-science workflows in Python and R. Posit’s platform enables teams to scale open-source data science, offering enterprise-ready capabilities for publishing, sharing, and operationalizing applications. Companies rely on Posit’s secure infrastructure to host Shiny apps, dashboards, APIs, and analytical reports with confidence. Whether using open-source packages or cloud-based solutions, Posit supports reproducible, high-quality work at every stage of the data lifecycle. Trusted by millions of users—and more than half of the Fortune 100—Posit empowers professionals across industries to innovate with data. -
4
Google Colab
Google
Google Colab is a free, hosted Jupyter Notebook service that provides cloud-based environments for machine learning, data science, and educational purposes. It offers no-setup, easy access to computational resources such as GPUs and TPUs, making it ideal for users working with data-intensive projects. Colab allows users to run Python code in an interactive, notebook-style environment, share and collaborate on projects, and access extensive pre-built resources for efficient experimentation and learning. Colab also now offers a Data Science Agent automating analysis, from understanding the data to delivering insights in a working Colab notebook (Sequences shortened. Results for illustrative purposes. Data Science Agent may make mistakes.) -
5
Deepnote
Deepnote
Deepnote is building the best data science notebook for teams. In the notebook, users can connect their data, explore, and analyze it with real-time collaboration and version control. Users can easily share project links with team collaborators, or with end-users to present polished assets. All of this is done through a powerful, browser-based UI that runs in the cloud. We built Deepnote because data scientists don't work alone. Features: - Sharing notebooks and projects via URL - Inviting others to view, comment and collaborate, with version control - Publishing notebooks with visualizations for presentations - Sharing datasets between projects - Set team permissions to decide who can edit vs view code - Full linux terminal access - Code completion - Automatic python package management - Importing from github - PostgreSQL DB connectionStarting Price: Free -
6
Trino
Trino
Trino is a query engine that runs at ludicrous speed. Fast-distributed SQL query engine for big data analytics that helps you explore your data universe. Trino is a highly parallel and distributed query engine, that is built from the ground up for efficient, low-latency analytics. The largest organizations in the world use Trino to query exabyte-scale data lakes and massive data warehouses alike. Supports diverse use cases, ad-hoc analytics at interactive speeds, massive multi-hour batch queries, and high-volume apps that perform sub-second queries. Trino is an ANSI SQL-compliant query engine, that works with BI tools such as R, Tableau, Power BI, Superset, and many others. You can natively query data in Hadoop, S3, Cassandra, MySQL, and many others, without the need for complex, slow, and error-prone processes for copying the data. Access data from multiple systems within a single query.Starting Price: Free -
7
Coder
Coder
Coder is the AI software development company leading the future of autonomous coding. We empower teams to build software faster, more securely, and at scale through the collaboration of AI coding agents and human developers. Our mission is to make agentic AI a safe, trusted, and integral part of every software development lifecycle. Coder’s self-hosted Cloud Development Environment (CDE) is the foundation for deploying agentic AI in the enterprise. It provides a secure, standardized, and governed workspace to deploy autonomous coding agents alongside human developers, accelerating innovation while maintaining control and compliance. Coder's isolated, policy-driven environments improve productivity, cut cloud costs, and reduce data risks. Developers transition to AI at their own pace using their own tools. Platform and security teams can govern, audit, and manage a great developer experience at scale. -
8
DQOps
DQOps
DQOps is an open-source data quality platform designed for data quality and data engineering teams that makes data quality visible to business sponsors. The platform provides an efficient user interface to quickly add data sources, configure data quality checks, and manage issues. DQOps comes with over 150 built-in data quality checks, but you can also design custom checks to detect any business-relevant data quality issues. The platform supports incremental data quality monitoring to support analyzing data quality of very big tables. Track data quality KPI scores using our built-in or custom dashboards to show progress in improving data quality to business sponsors. DQOps is DevOps-friendly, allowing you to define data quality definitions in YAML files stored in Git, run data quality checks directly from your data pipelines, or automate any action with a Python Client. DQOps works locally or as a SaaS platform.Starting Price: $499 per month -
9
Rowy
Rowy
Manage your database on a spreadsheet-UI and build powerful backend cloud functions, scalably without leaving your browser. Start like no-code, extend with code.Starting Price: $12 per seat per month -
10
Azure Database for PostgreSQL
Microsoft
Focus on application innovation, not database management, with a fully managed and intelligent Azure Database for PostgreSQL. Scale your workload quickly with ease and confidence. Enjoy high availability with a service-level agreement (SLA) of up to 99.99 percent uptime and a choice of same-zone or zone-redundant high availability, AI-powered performance recommendations, and built-in enterprise security. Focus on application innovation with a fully managed PostgreSQL database as a service. The zone-redundant high availability automates maintenance, patching, and updates. Provision in minutes and independently scale compute or storage. Decrease costs with comprehensive database monitoring and optimization tools. Take advantage of intelligent performance recommendations to help ensure peak performance. Migrate with ease using a fully managed PostgreSQL database with support for the latest versions. Build with your favorite PostgreSQL extensions such as Cron, PostGIS, PLV8, etc.Starting Price: $0.017 per hour -
11
Taipy
Taipy
From simple pilots to production-ready web applications in no time. No more compromise on performance, customization, and scalability. Taipy enhances performance with caching control of graphical events, optimizing rendering by selectively updating graphical components only upon interaction. Effortlessly manage massive datasets with Taipy's built-in decimator for charts, intelligently reducing the number of data points to save time and memory without losing the essence of your data's shape. Struggle with sluggish performance and excessive memory usage, as every data point demands processing. Large datasets become cumbersome, complicating the user experience and data analysis. Scenarios are made easy with Taipy Studio. A powerful VS Code extension that unlocks a convenient graphical editor. Get your methods invoked at a certain time or intervals. Enjoy a variety of predefined themes or build your own.Starting Price: $360 per month -
12
BrowserQL
Browserless
BrowserQL is a dedicated scraping language, browser automation tool, and infrastructure built to bypass bot detection systems with minimal automation fingerprints. It includes built-in anti-detection with zero configuration, helping users bypass Cloudflare, Datadome, and other bot detection services without manual plugins or setup. BrowserQL can automatically click common CAPTCHA challenges, including those nested in iframes and shadow DOMs, while using auto-humanized clicking, scrolling, typing patterns, hidden debugger protocol, automatic fingerprint evasion, and residential proxy integration to appear more like a real browser. Unlike DIY Playwright setups that require stealth plugins, manual mouse or keyboard simulation, proxy rotation, and constant cat-and-mouse updates, BrowserQL is streamlined to minimize traces left by automation libraries.Starting Price: $25 per month -
13
Zyte
Zyte
Zyte is a powerful web data extraction platform designed to help businesses access, process, and scale web data efficiently. It offers an all-in-one Web Scraping API that can unblock, render, and extract data from virtually any website. The platform uses advanced AI and automation to ensure high-quality, accurate data while keeping costs manageable. Zyte also provides managed data services, where experts build and maintain data pipelines for businesses. Its solutions support a wide range of use cases, including product data, news, social media, real estate, and job listings. Built-in legal compliance features ensure that data extraction is handled responsibly and securely. Overall, Zyte enables organizations to turn web data into actionable insights quickly and at scale. -
14
DocumentDB for VS Code
Microsoft
DocumentDB for VS Code is a free, open-source Visual Studio Code extension for browsing, querying, and managing databases that use the MongoDB API wire protocol. It works with DocumentDB, Azure DocumentDB, AWS DocumentDB, Azure Cosmos DB for MongoDB, MongoDB Atlas, self-hosted MongoDB-compatible databases, and local emulators. The extension includes a visual Collection View, JavaScript Query Playground, interactive shell, schema-aware autocomplete, document editing, import/export, index management, query insights, Entra ID authentication, and cloud service discovery. Everything runs inside VS Code with no external database tools required.Starting Price: Free -
15
Databricks
Databricks
The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. The winners in every industry will be data and AI companies. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals. Databricks combines generative AI with the unification benefits of a lakehouse to power a Data Intelligence Engine that understands the unique semantics of your data. This allows the Databricks Platform to automatically optimize performance and manage infrastructure in ways unique to your business. The Data Intelligence Engine understands your organization’s language, so search and discovery of new data is as easy as asking a question like you would to a coworker. -
16
jBASE
jBASE
The future of your PICK system requires a database platform that continually evolves to meet the needs of today’s developers. jBASE is now officially certified for Docker containers, including built-in support for the MongoDB NoSQL database, and standard APIs for Salesforce, Avalara, and dozens of other platforms. Plus new enhancements to Objects that make life easier for developers. We are continuing to invest in jBASE because we believe in PICK! While others see a decline, we’ve seen 6 years of consecutive growth. We care about your long-term success and haven’t had a maintenance price increase in decades. We play well with others by collaborating and making jBASE integrate with modern technologies like VSCode, Mongo, Docker, and Salesforce. The migration routes from other PICK databases have been vastly simplified, licensing now supports flexible CPU and SaaS-based models, and our in-line operating system approach means our scalability, speed and stability are unmatched. -
17
Beacon Platform
Beacon Platform
Beacon Core is an end-to-end platform designed to supercharge developer productivity. Beacon Core includes enterprise-scale elastic cloud infrastructure, a modern data warehouse, collaborative developer tools, automation services, and a robust and controlled production environment. Once satisfied with the new feature, the developer releases the feature to production with Beacon’s controls workflow. All source code is categorized, with different controls attached to different categories, so that new features that do not affect risk can be released intraday. Beacon’s controls workflow was forged in global investment banks to foster innovation within a highly regulated and tightly controlled environment. We help you customize Beacon’s workflow to balance the opportunities and risks between innovation and controls. Automate manual tasks with user-friendly batch job scheduler, so that you can focus on adding value to the business. -
18
SchemaFlow
SchemaFlow
SchemaFlow is a powerful tool designed to enhance AI-powered development by providing real-time access to your PostgreSQL database schema through the Model Context Protocol (MCP). It allows developers to connect their databases, visualize schema structures with interactive diagrams, and export schemas in various formats such as JSON, Markdown, SQL, and Mermaid. With native MCP support via Server-Sent Events (SSE), SchemaFlow enables seamless integration with AI-Integrated Development Environments (AI-IDEs) like Cursor, Windsurf, and VS Code, ensuring that AI assistants have up-to-date schema information for accurate code generation. It offers secure token-based authentication for MCP connections, automatic schema synchronization to keep AI assistants informed of any changes, and a schema browser for easy navigation of tables and relationships. -
19
ProxyLite
ProxyLite
ProxyLite is a residential proxy and web data collection platform that provides access to a large global network of over 72 million real IP addresses across more than 190 locations, enabling users to collect public data, automate workflows, and access localized content without being blocked. It offers multiple proxy types, including rotating residential proxies, static residential proxies, datacenter proxies, and ISP proxies, all designed to deliver high anonymity, fast response times, and stable connections for large-scale operations. It supports unlimited sessions and high concurrency, allowing users to send frequent requests without bandwidth or usage restrictions, while maintaining a reported high success rate and uptime for consistent performance. It includes an all-in-one web scraping API that simplifies data extraction by handling request routing, IP rotation, and response processing within a single interface.
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