Hackolade vs. Oracle SQL Developer Data Modeler vs. SQLBackupAndFTP vs. dbForge Data Compare for PostgreSQL Comparison Chart

Hackolade Studio is a powerful data modeling platform that supports a wide range of technologies including relational SQL and NoSQL databases, cloud data warehouses, APIs, streaming platforms, and data exchange formats. Designed for modern data architecture, it enables users to visually design, document, and evolve schemas across systems like Oracle, PostgreSQL, Databricks, Snowflake, MongoDB, Cassandra, DynamoDB, Neo4j, Kafka (with Confluent Schema Registry), OpenAPI, GraphQL, and more. Hackolade Studio offers forward and reverse engineering, schema versioning, model validation, and integration with metadata catalogs such as Unity Catalog and Collibra. It empowers data architects, engineers, and governance teams to collaborate on consistent, governed, and scalable data models. Whether building data products, managing API contracts, or ensuring regulatory compliance, Hackolade Studio streamlines the process in one unified interface.

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.