MongoDB
is an open-source cross-platform database program that is document-oriented.
Instead of using SQL, it relies on documents that resemble JSON, with schemas.
Managing MongoDB databases used to be restricted to machines that have certain
types of software, but browser-based database management tools have made the
job easier and more efficient without installing any programs. This way,
MongoDB management can be cost-effective and simpler anytime and anywhere.
DBHawk is one of the web-based database management solutions that works with
MongoDB. It is an online GUI that is supported for Mac, Linux, and Windows platforms.
DBHawk
has an intuitive MongoDB
GUI that lets you query and browse full databases and documents from a
browser. You can query documents using the advanced drag and drop online query
builder of DBHawk. It is easy to use the data editor, online GridFS, JSON data
viewer, and MongoDB Shell from your browser. The tool uses the pagination
display that is native to MongoDB to let you view large collections. You can
rename, add, or drop documents, apply a filter criteria, or apply paginations
to see document details.
Using
DBHawk, you can edit existing values, expand the full view, and browse
documents. A few simple clicks can let you accomplish tasks like add new value,
edit value, insert a new document, insert key-value, and remove field. Use the
MongoDB Shell that comes with DBHawk to update and query data and conduct
administrative operations. This time, it is a web-based interface that lets you
execute commands to MongoDB. You can load as many shells as necessary for any
number of operations, including multiple command statements.
DBHawk
comes with an online GridFS utility, which is exclusive to MongoDB for
retrieving and storing large files like audio, video, and images. Using this
feature, you can view, search, and filter all or specific files in MongoDB. It
simplifies the searching, renaming, deletion, uploading, editing, and
downloading, of files, too. Likewise, DBHawk has a JSON data viewer that lets
you recursively expand the document collection data and explore all data by
right-clicking on an existing document.
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