UnQLite is a in-process software library which implements a self-contained, serverless, zero-configuration, transactional NoSQL database engine. UnQLite is a document store database similar to MongoDB, Redis, CouchDB etc. as well a standard Key/Value store similar to BerkeleyDB, LevelDB, etc.

UnQLite is an embedded NoSQL (Key/Value store and Document-store) database engine. Unlike most other NoSQL databases, UnQLite does not have a separate server process. UnQLite reads and writes directly to ordinary disk files. A complete database with multiple collections, is contained in a single disk file. The database file format is cross-platform, you can freely copy a database between 32-bit and 64-bit systems or between big-endian and little-endian architectures. UnQLite features includes:

• Serverless, NoSQL database engine.
• Transactional (ACID) database.
• Zero configuration.
• Single database file, does not use temporary files.
• Cross-platform file format.
• UnQLite is a Self-Contained C library without dependency.
• Standard Key/Value store.
• Document store (JSON) database via Jx9.
• Support cursors for linear records traversal.
• Pluggable run-time interchangeable storage engine.
• Support for on-disk as well in-memory databases.
• Built with a powerful disk storage engine which support O(1) lookup.
• Thread safe and full reentrant.
• Simple, Clean and easy to use API.
• Support Terabyte sized databases.
• BSD licensed product.
• Amalgamation: All C source code for UnQLite and Jx9 are combined into a single source file.
• Highly available online support.

JavaScript SQL database for browser and Node.js.
Handles both traditional relational tables and nested JSON data (NoSQL).
Export, store, and import data from localStorage, IndexedDB, or Excel.

This lightweight tool helps you get a sense of your application's schema, as well as any outliers to that schema. Particularly useful when you inherit a codebase with data dump and want to quickly learn how the data's structured. Also useful for finding rare keys.

$ mongo test --eval "var collection = 'users'" variety.js

+------------------------------------------------------------------+
| key                | types              | occurrences | percents |
| ------------------ | ------------       | ----------- | -------- |
| _id                | ObjectId           |           5 |    100.0 |
| name               | String             |           5 |    100.0 |
| bio                | String             |           3 |     60.0 |
| birthday           | Date               |           2 |     40.0 |
| pets               | Array(1),String(1) |           2 |     40.0 |
| someBinData        | BinData-old        |           1 |     20.0 |
| someWeirdLegacyKey | String             |           1 |     20.0 |
+------------------------------------------------------------------+

Infer a probabilistic schema for a MongoDB collection.
Usage

mongodb-schema can be used as a command line tool or programmatically in your application as a node module.

mongodb-schema mongodb://localhost:27017 db.collection

$ mongodump -d some_database -c some_collection
$ mongorestore -d some_other_db -c some_or_other_collection dump/some_collection.bson

You can select the collection via:

mongodump -d some_database -c some_collection

[Optionally, zip the dump (zip some_database.zip some_database/* -r) and scp it elsewhere]

Then restore it:

mongorestore -d some_other_db -c some_or_other_collection dump/some_collection.bson

Existing data in some_or_other_collection will be preserved. That way you can "append" a collection from one database to another.

Prior to version 2.4.3, you will also need to add back your indexes after you copy over your data. Starting with 2.4.3, this process is automatic, and you can disable it with --noIndexRestore.

MongoBooster is a shell-centric cross-platform GUI tool for MongoDB v2.4-3.4, which provides fluent query builder, SQL query SQL Query, update-in-place, ES2017 syntax support and true intellisense experience.

The GUI for MongoDB. Visually explore your data. Run ad hoc queries in seconds. Interact with your data with full CRUD functionality. View and optimize your query performance. Available on Linux, Mac, or Windows. Compass empowers you to make smarter decisions about indexing, document validation, and more.