Best Data Modeling Tools for MongoDB

Multi-platform database tool that is free for database administrators, analysts, developers, and anyone who needs to work with databases. All popular databases supported: MySQL, PostgreSQL SQLite, Oracle and SQLite. The format configuration editor was also added. Extra configuration for filter dialog (performance). For small fetch sizes, sort by column as fixed. Support for case-insensitive filters was added. Plaintext view now supports top/bottom dividers. Data editor was updated to fix conflicts between column names and alias names. Multiple rows were fixed by the Duplicate Row(s) command. The context menu was restored to the Edit sub-menu. Columns were auto-sized. Dictionary viewer was updated (for read-only connections). Configurable support for current/selected row highlighting was added

DbSchema allows you to visual design the schema in a group, deploy it and then document it. DbSchema also includes integrated features such as data explorer, visual query editor and data generator. This makes it an all-purpose tool for anyone who works with databases. DbSchema is compatible with all No-SQL and relational databases, including MySQL and PostgreSQL. It also supports SQLite, Microsoft SQL Server and MongoDB. MariaDB, Redshift. Snowflake. Google, and many others. DbSchema reverse-engineers the database schema and visualizes it as diagrams. Diagrams and visual tools will be used to interact with the database. DbSchema model uses its own copy of the schema structure, independent of the database. This allows you to deploy the schema on multiple databases. You can save the design model to file and store it in GIT. Then, design the schema with a team.

Hackolade is the pioneer for data modeling of NoSQL and multi-model databases, providing a comprehensive suite of data modeling tools for various NoSQL databases and APIs. Hackolade is the only data modeling tool for MongoDB, Neo4j, Cassandra, ArangoDB, BigQuery, Couchbase, Cosmos DB, Databricks, DocumentDB, DynamoDB, Elasticsearch, EventBridge Schema Registry, Glue Data Catalog, HBase, Hive, Firebase/Firestore, JanusGraph, MariaDB, MarkLogic, MySQL, Oracle, PostgreSQL, Redshift, ScyllaDB, Snowflake, SQL Server, Synapse, TinkerPop, YugabyteDB, etc. It also applies its visual design to Avro, JSON Schema, Parquet, Protobuf, Swagger and OpenAPI, and is rapidly adding new targets for its physical data modeling engine. The software is user-friendly and simple to use yet provides powerful visuals and graphic data modeling to smooth the onboarding of NoSQL technology. Its software tools help functional analysts, designers, architects, and DBAs involved with NoSQL technology achieve greater transparency and control, resulting in reduced development time, increased application quality, and lower execution risks across the enterprise.

Xplenty is a scalable data delivery and integration software that allows large businesses and SMBs to prepare and transfer data to the cloud for analytics. Xplenty features include data transformations and drag-and-drop interface. It also integrates with over 100 data storages and SaaS apps. Developers can easily add Xplenty to their data solution stack. Xplenty allows users to schedule jobs, track job progress, and keep track of job status.

Cognos Analytics with Watson brings BI to a new level with AI capabilities that provide a complete, trustworthy, and complete picture of your company. They can forecast the future, predict outcomes, and explain why they might happen. Built-in AI can be used to speed up and improve the blending of data or find the best tables for your model. AI can help you uncover hidden trends and drivers and provide insights in real-time. You can create powerful visualizations and tell the story of your data. You can also share insights via email or Slack. Combine advanced analytics with data science to unlock new opportunities. Self-service analytics that is governed and secures data from misuse adapts to your needs. You can deploy it wherever you need it - on premises, on the cloud, on IBM Cloud Pak®, for Data or as a hybrid option.

Moon Modeler is a modern data modeling tool for MongoDB and Mongoose. Draw diagrams, visualize existing database structures and generate interactive documentation or schema creation or validation scripts. Supported platforms: - MongoDB - Mongoose Key features: - Easy and comfortable visual schema design - Visualization of existing MongoDB structures - Support for SSH/SSL/TLS connections - Support for modeling of nested objects - Generation of interactive HTML reports - Generation of schema validation scripts - Various themes and styles for reports - Support for sub-diagrams - Multiple display modes

RestApp is a No Code Data Activation Platform that provides anyone with an all-in one solution to connect, model and sync any data using his favorite tools. RestApp allows Data & Ops teams activate data in minutes using No-Code by: Connecting to your favorite databases and business apps Drag-and-drop SQL, NoSQL, and Python functions to model your data and then create and share queries with your colleagues - Automatically sync your data with your tools RestApp makes it easy to use our templates to: - Computing your main financial KPIs: churn rate, MRR, ARR, ACV, ARPU, LVT - Calculating your customers' lead scoring - Generate automatic cohort analyses

5X is a data platform that offers everything you need to centralize your data, clean it, model it, and analyze it. 5X is designed to simplify data management. It offers seamless integration with more than 500 data sources. This ensures uninterrupted data movement between all your systems using pre-built connectors and custom connectors. The platform includes ingestion, warehousing and modeling, orchestration and business intelligence. All of this is presented in a simple-to-use interface. 5X supports a variety of data movements including SaaS applications, databases, ERPs and files. Data is transferred automatically and securely to data lakes and warehouses. 5X's enterprise-grade security encrypts the data at its source, identifying personally identifiable data and encrypting it at a column-level. The platform is designed for a 30% reduction in total cost of ownership compared to building a platform yourself. It also enhances productivity by providing a single interface for building end-to-end pipelines.

ER/Studio Enterprise Team Edition allows data modelers and architects the ability to share data models and metadata throughout an enterprise. It offers a complete solution to enterprise architecture and data governance.