Best Free MongoDB GUI Clients

Auto-complete queries in a built-in mongo shell that highlights syntax errors as you type and saves your query history. Perfect for MongoDB beginners, a time-saver for pros. Use a drag-and-drop UI to build complex find() queries and filter array elements. Break down aggregation queries into manageable steps and build them stage by stage, for easier debugging and querying. Generate instant code in JavaScript (Node.js), Java (2.x and 3.x driver API), Python, C#, PHP, and Ruby from MongoDB and SQL queries that you can copy and paste into your application. Save MongoDB imports, exports, data comparisons, and migrations as tasks that you can run on demand. Or even better, skip the reminders and schedule them to run exactly when you need them. Make changes to your collection’s schema in just a few clicks, perfect for schema performance tuning, restructuring, or cleaning up after data migration.

Retool is an application development platform that enables developers to combine the benefits of traditional software development with a drag-and-drop UI editor and AI to build internal tools radically faster. Building in Retool fits with how you develop software today—deploy it anywhere, connect to any internal service, import your libraries, debug with your toolchain, and share it securely to users—ensuring good and well-governed software by default. Retool is used by industry leaders such as Amazon, American Express, DoorDash, OpenAI, and Mercedes Benz for mission critical custom software across operations, billing, and customer support.

DbSchema is for visual designing the schema in a team, deploy and document the schema. Other integrated features like data explorer, visual query editor, data generator, etc., makes DbSchema an every-day tool for everybody who interacts with databases. DbSchema supports all relational and No-SQL databases, including MySQL, PostgreSQL, SQLite, Microsoft SQL Server, MongoDB, MariaDB, Redshift, Snowflake, Google and more. DbSchema is reverse-engineering the database schema from the database and visualize it as diagrams. You will interact with the database using diagrams and visual tools. DbSchema model is using its copy of schema structure, independent from the database. This allows the schema deployment on multiple databases, save the design model to file, store it in GIT and design the schema in a team, design the schema without database connectivity, compare different versions of the schema and generate SQL migration scripts.

DronaHQ is a low-code platform to build internal tools and custom apps for the web and mobile. Developers and engineering teams use this platform to create admin panels, CRUD apps, GUI for Databases or APIs, forms, dashboards & operational apps. Key features include: - Customizable UI components - Mobile + Web app output - 10x faster app development - Seamless integration to any existing tech stack - Scalable cloud-based architecture - Over 50 Engineering Support Hours (UVP) - Free forever developer plans With 3000+ Apps built and 1 million+ users supported, DronaHQ is a platform trusted by global companies.

ClusterControl is a hybrid, multi-cloud database ops orchestration platform for MongoDB, Elasticsearch, Redis, TimescaleDB, SQL Server on Linux, Galera Cluster, PostgreSQL, and MySQL in on-premises, cloud, and hybrid environments. It handles full-lifecycle operations, from deployment to failover, backup and more. With its full suite of databases, ops features and ability to be deployed in any environment, it enables organizations to implement the Sovereign DBaaS concept. ClusterControl is perfect for organizations that need to reliably run large-scale, open-source database operations but don't want to be limited by traditional DBaaS providers in environment choice, open-source license stability, and DB access.

Modern, native client with intuitive GUI tools to create, access, query & edit multiple databases: MySQL, PostgreSQL, SQLite, Microsoft SQL Server, Amazon Redshift, MariaDB, CockroachDB, Vertica, Cassandra, Snowflake, Oracle, Redis.

dbKoda’s rich code editor allows you to compose MongoDB queries and scripts with syntax highlighting, auto-complete and code formatting. View output in foldable JSON, tabular format or as a chart. Generate visual explain plans with a single click. The explain plan viewer will suggest indexes that may improve performance, and provide one-button creation of those indexes. Build simple queries or complex aggregates using the graphical query builder. dbKoda lets you perform administrative activities using fil-in-the-blanks actions from the database tree. Manage configuration, user roles, logging, database storage, and data import/export without having to lookup obscure MongoDB syntax. We construct the appropriate commands as you fill-in-the-blanks, so you can re-use the command in admin scripts or tweak the syntax as desired. dbKoda includes an SSH terminal that allows command line access to the server OS, so you can issue OS commands directly from within the dbKoda product.

Easily work with your data in Compass, the GUI built by — and for — MongoDB. Compass provides everything from schema analysis to index optimization to aggregation pipelines in a single, centralized interface. Dissect your document schema to understand your data at a deeper level. Compass samples and analyzes your documents to provide detailed metadata on your collections, including the ranges of dates and integers, most frequent values, and more. Find the data you need in seconds with Compass’ built-in query bar. Filter the documents within your collection using intuitive query operators that correspond to expressions in other languages. Sample, sort, and modify results with high granularity. Add new indexes and remove underperforming ones to optimize queries, monitor real-time server and database metrics, investigate performance issues with the visual explain plan, and more.

NoSQLBooster is a cross-platform GUI tool for MongoDB Server 3.6-6.0, which provides a build-in MongoDB script debugger, comprehensive server monitoring tools, chaining fluent query, SQL query, query code generator, task scheduling, ES2020 support, and advanced IntelliSense experience. NoSQLBooster embeds V8 JavaScript engine. No external MongoDB command line tools dependence. Support MongoDB 3.6-6.0. With NoSQLBooster for MongoDB, you can run SQL SELECT Query against MongoDB. SQL support includes SQL JOINS, functions, expressions, aggregation for collections with nested objects and arrays.

A Mongo DB GUI built using Electron, and Angular Js.

Replace phpMyAdmin with Adminer and you will get a tidier user interface, better support for MySQL features, higher performance and more security. Security is #1 priority in development of Adminer. Adminer does not allow connecting to databases without a password and it rate-limits the connection attempts to protect against brute-force attacks. Still, consider making Adminer inaccessible to public by whitelisting IP addresses allowed to connect to it, password-protecting the access in your web server, enabling security plugins (e.g. to require an OTP) or by customizing the login method. You can also delete Adminer if not needed anymore, it is just one file which is easy to upload in the future. Adminer had some security bugs in the past so update whenever Adminer tells you there is a new version available (ask your administrator if you could not update yourself). Connect to a database server with username and password. /Select an existing database or create a new one.

View data relations directly in the document. Mingo will recognize document references and shows you a preview or lets you open the document with one click. Save your time by minimizing clicks and operations to get your work done. Bring all your important data together in a high-level overview. Create your own dashboard with the data you want to see. Mingo’s Aggregator is here to help. With its visual UI, you get a great overview of what the pipeline does, what the results at each step are and whether you have any errors. As you type, Aggregator provides autocomplete options, checks code validity and loads sample results for each stage. This way you see the immediate results, knowing whether your code does what you are expecting. If you are not sure about the proper use of commands, quick links to documentation are available.