Amazon DocumentDB vs. Mongoose vs. Oracle SQL Developer Data Modeler vs. SQLBackupAndFTP Comparison Chart

Let's face it, writing MongoDB validation, casting and business logic boilerplate is a drag. That's why we wrote Mongoose. Now say we like fuzzy kittens and want to record every kitten we ever meet in MongoDB. The first thing we need to do is include mongoose in our project and open a connection to the test database on our locally running instance of MongoDB. We have a pending connection to the test database running on localhost. We now need to get notified if we connect successfully or if a connection error occurs. Mongoose documents represent a one-to-one mapping to documents as stored in MongoDB. Each document is an instance of its Model. Subdocuments are documents embedded in other documents. In Mongoose, this means you can nest schemas in other schemas. Mongoose has two distinct notions of subdocuments: arrays of subdocuments and single nested subdocuments.

No more complicated configuration, just a single form to automate backups: select databases, backup (full, diff, tran log), encrypt, compress, send to a folder, FTP or cloud service. SQLBackupAndFTP is a software that backups SQL Server, MySQL, and PostgreSQL Server databases, performs regular full, differential, and transaction log backups, runs file/folder backup, zips and encrypts the backups, stores them on a network or on an FTP server or in the cloud (Amazon S3 and others - we're constantly adding more), removes old backups, and sends an e-mail confirmation on the job's success or failure. SQLBackupAndFTP is ideal for any SQL Server, MySQL, PostgreSQL, Azure SQL, or Amazon RDS SQL database where backups should be sent to FTP, SFTP, FTPS, NAS, local or network folder, Google Drive, Dropbox, OneDrive, Box, Amazon S3 (and any S3-Compatible storage), Azure Storage, Backblaze B2, Yandex.Disk. It is especially useful for any SQL Server versions, including Azure SQL and Amazon RDS SQL.