Best Data Management Software for DuckDB

Compare the Top Data Management Software that integrates with DuckDB as of November 2025

This a list of Data Management software that integrates with DuckDB. Use the filters on the left to add additional filters for products that have integrations with DuckDB. View the products that work with DuckDB in the table below.

What is Data Management Software for DuckDB?

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 DuckDB currently available using the table below. This list is updated regularly.

  • 1
    DbVisualizer

    DbVisualizer

    DbVisualizer

    DbVisualizer is one of the world's most popular database editors. With almost 7 million downloads and Pro users in 150 countries worldwide, it won't disappoint you. Free and Pro versions are available. Developers, analysts, and DBAs use it to elevate their SQL experience with modern tools to visualize and manage their databases, schemas, objects, and table data, auto-generate, write, and optimize queries, and so much more. It connects to all popular databases, such as MySQL, PostgreSQL, SQL Server, Oracle, Cassandra, Snowflake, SQLite, BigQuery, and 30+ others, and runs on all popular OSes (Windows, macOS, and Linux). A powerful SQL editor with intelligent autocomplete, visual query builders, variables, and more. You can fully control window layouts, key bindings, UI theme, mark scripts, and database objects as favorites for quick access or even work outside of DbVisualizer. DbVisualizer is also built to meet rigorous security standards, all configurable within the product.
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    Starting Price: Free
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  • 2
    AnalyticsCreator

    AnalyticsCreator

    AnalyticsCreator

    Accelerate DWH development by automating the design and generation of complex data models, including dimensional, data mart, and data vault architectures. This automation ensures faster time-to-value through streamlined workflows, resulting in improved data accuracy and consistency. Using AnalyticsCreator allows you to seamlessly integrate your data with platforms like MS Fabric, Power BI, Snowflake, Tableau, Azure Synapse, and more. With built-in transformations and historization capabilities, you can manage historical data with support for Slowly Changing Dimensions (SCD) types, enhancing governance and operational efficiency. Streamline your teamwork with robust version control features and automated documentation, ensuring enhanced collaboration and reduced development cycles. Enable faster prototyping, schema evolution, and metadata management for a more agile approach to data management.
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  • 3
    SkySQL

    SkySQL

    SkySQL

    SkySQL is a multi-cloud, serverless database-as-a-service (DBaaS) platform designed to help businesses streamline their MySQL and MariaDB cloud database management with zero waste, instant auto-scaling capabilities, and 99.995% uptime. SkySQL offers serverless databases that save 80% of traditional database costs with pay-as-you-go pricing that scales according to demand, ensuring businesses only pay for what they use. With advanced features like SkyAI agents for building natural language interfaces to your database into your apps and providing AI-assisted performance optimization, businesses can easily handle complex workloads, minimize security risks, and accelerate AI application development. SkySQL offers both cost savings and high performance, on-demand scalability, and reliability, making it ideal for modern applications and growing businesses.
    Starting Price: $28/month
  • 4
    Observable

    Observable

    Observable

    Observable is a data analysis and exploration platform that helps data analysts and their stakeholders understand their business data, build charts and other visualizations, and communicate insights. Built for teams, powered by AI, and backed by a global community of data practitioners, Observable offers a single workspace for data exploration, custom chart creation, and cross-functional data collaboration.
    Starting Price: Free
  • 5
    DbGate

    DbGate

    Sprinx Systems

    DbGate is a cross-platform SQL + NoSQL client that runs on Windows, macOS, Linux as desktop app, or in Docker - and then entirely in your browser. It has very powerful data browser, which allows you to quickly find or modify, what you need, even when using complicated relations. There are many filtering options allowing you in few clicks define quite complex conditions. You could of course use classical SQL editor with code completion or query designer. DbGate also has capability of design queries on NoSQL databases and event join results with SQL databases. Database compare tool is very fast, as it uses already cached DB models. You could browse and filter objects by type (table, view, procedure function) and by comparing status (equal, changed, added, removed). You could also deploy changes to database. Quite new feature is DbGate Cloud - online storage for connections and SQL scripts. You could also share folders with connections with others, with role-base permission access.
    Starting Price: Free
  • 6
    Quary

    Quary

    Quary

    Connect to your data warehouse, and SSO authenticates your team in seconds. Organize your business intelligence as SQL. Make changes with confidence, automated testing validates every update. Deploy models confidently and travel back in time when things go wrong. Quary connects to your sensitive data store. In order to protect it, Quary is built from the ground up with security in mind. By default, data does not leave your estate, data exchanges happen between your Quary client and your data store. Transform data together, model, test, and deploy as a team. SSO is not an extra, we include it in our base plan and even help set it up. No one should share credentials. Quary builds upon your data store's access management systems and helps you manage it. We are in the process of implementing SOC2 and have security credentials (CISSP) on the team to ensure your data stays secure.
    Starting Price: Free
  • 7
    LanceDB

    LanceDB

    LanceDB

    LanceDB is a developer-friendly, open source database for AI. From hyperscalable vector search and advanced retrieval for RAG to streaming training data and interactive exploration of large-scale AI datasets, LanceDB is the best foundation for your AI application. Installs in seconds and fits seamlessly into your existing data and AI toolchain. An embedded database (think SQLite or DuckDB) with native object storage integration, LanceDB can be deployed anywhere and easily scales to zero when not in use. From rapid prototyping to hyper-scale production, LanceDB delivers blazing-fast performance for search, analytics, and training for multimodal AI data. Leading AI companies have indexed billions of vectors and petabytes of text, images, and videos, at a fraction of the cost of other vector databases. More than just embedding. Filter, select, and stream training data directly from object storage to keep GPU utilization high.
    Starting Price: $16.03 per month
  • 8
    PuppyGraph

    PuppyGraph

    PuppyGraph

    PuppyGraph empowers you to seamlessly query one or multiple data stores as a unified graph model. Graph databases are expensive, take months to set up, and need a dedicated team. Traditional graph databases can take hours to run multi-hop queries and struggle beyond 100GB of data. A separate graph database complicates your architecture with brittle ETLs and inflates your total cost of ownership (TCO). Connect to any data source anywhere. Cross-cloud and cross-region graph analytics. No complex ETLs or data replication is required. PuppyGraph enables you to query your data as a graph by directly connecting to your data warehouses and lakes. This eliminates the need to build and maintain time-consuming ETL pipelines needed with a traditional graph database setup. No more waiting for data and failed ETL processes. PuppyGraph eradicates graph scalability issues by separating computation and storage.
    Starting Price: Free
  • 9
    QStudio

    QStudio

    TimeStored

    QStudio is a free, modern SQL editor supporting over 30 databases, including MySQL, PostgreSQL, and DuckDB. It offers features such as server browsing for easy viewing of tables, variables, functions, and configuration settings; SQL syntax highlighting; code completion; the ability to query servers directly from the editor; and built-in charts for data visualization. QStudio runs on Windows, Mac, and Linux, providing particularly good support for kdb+, Parquet, PRQL, and DuckDB. Additional functionalities include data pivoting similar to Excel, exporting data to Excel or CSV, and AI-powered tools like Text2SQL for generating queries from plain English, Explain-My-Query for code walkthroughs, and Explain-My-Error for debugging assistance. Simply send the query you want and select the chart type to draw a chart. Send queries straight from within the editor to any of your servers. All data structures are handled perfectly.
    Starting Price: Free
  • 10
    Streamkap

    Streamkap

    Streamkap

    Streamkap is a streaming data platform that makes streaming as easy as batch. Stream data from database (change data capturee) or event sources to your favorite database, data warehouse or data lake. Streamkap can be deployed as a SaaS or in a bring your own cloud (BYOC) deployment.
    Starting Price: $600 per month
  • 11
    Vanna.AI

    Vanna.AI

    Vanna.AI

    Vanna.AI is an AI-powered platform designed to help users interact with their databases by asking questions in natural language. It enables both beginners and experts to quickly obtain insights from large datasets without needing to write complex SQL queries. Users simply ask a question, and Vanna automatically identifies the relevant tables and columns to retrieve the data needed. The platform integrates with popular databases like Snowflake, BigQuery, and Postgres and supports various front-end implementations such as Jupyter Notebooks, Slackbots, and web apps. Vanna's open source model allows for secure, self-hosted deployments and can continuously improve its performance as it learns from the user's interactions. It is ideal for businesses looking to democratize access to data insights and simplify the query process.
    Starting Price: $25 per month
  • 12
    SQL

    SQL

    SQL

    SQL is a domain-specific programming language used for accessing, managing, and manipulating relational databases and relational database management systems.
    Starting Price: Free
  • 13
    Databricks Data Intelligence Platform
    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.
  • 14
    MotherDuck

    MotherDuck

    MotherDuck

    We’re MotherDuck, a software company founded by a passionate flock of experienced data geeks. We’ve worked as leaders for some of the greatest companies in data. Scale-out is expensive and slow, let’s scale up. Big Data is dead, long live easy data. Your laptop is faster than your data warehouse. Why wait for the cloud? DuckDB slaps, so let’s supercharge it. When we founded MotherDuck we recognized that DuckDB might just be the next major game changer thanks to its ease of use, portability, lightning-fast performance, and rapid pace of community-driven innovation. At MotherDuck, we want to help the community, the DuckDB Foundation, and DuckDB Labs build greater awareness and adoption of DuckDB, whether users are working locally or want a serverless always-on way to execute their SQL. We are a world-class team of engineers and leaders with experience working on databases and cloud services at AWS, Databricks, Elastic, Facebook, Firebolt, Google BigQuery, Neo4j, SingleStore, and more.
  • 15
    Kestra

    Kestra

    Kestra

    Kestra is an open-source, event-driven orchestrator that simplifies data operations and improves collaboration between engineers and business users. By bringing Infrastructure as Code best practices to data pipelines, Kestra allows you to build reliable workflows and manage them with confidence. Thanks to the declarative YAML interface for defining orchestration logic, everyone who benefits from analytics can participate in the data pipeline creation process. The UI automatically adjusts the YAML definition any time you make changes to a workflow from the UI or via an API call. Therefore, the orchestration logic is defined declaratively in code, even if some workflow components are modified in other ways.
  • 16
    Unity Catalog

    Unity Catalog

    Databricks

    Databricks Unity Catalog is the industry’s only unified and open governance solution for data and AI, built into the Databricks Data Intelligence Platform. With Unity Catalog, organizations can seamlessly govern both structured and unstructured data in any format, as well as machine learning models, notebooks, dashboards, and files across any cloud or platform. Data scientists, analysts, and engineers can securely discover, access, and collaborate on trusted data and AI assets across platforms, leveraging AI to boost productivity and unlock the full potential of the lakehouse environment. This unified and open approach to governance promotes interoperability and accelerates data and AI initiatives while simplifying regulatory compliance. Easily discover and classify both structured and unstructured data in any format, including machine learning models, notebooks, dashboards, and files across all cloud platforms.
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