Dataform vs Percona Backup for MongoDB
Overview
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Detailed Comparison
Dataform helps you manage all data processes in your cloud data warehouse. Publish tables, write data tests and automate complex SQL workflows in a few minutes, so you can spend more time on analytics and less time managing infrastructure. | It is a distributed, low-impact solution for achieving consistent backups of MongoDB sharded clusters and replica sets. It supports Percona Server for MongoDB and MongoDB Community v3.6 or higher with MongoDB Replication enabled. It is an alternative for users who want a fully supported community backup tool, but do not want to pay for MongoDB Enterprise and Ops Manager. With easy command-line interface, you can perform consistent backup/restore of clusters and non-sharded replica sets, and improve cluster backup consistency. This saves you time and effort if you are implementing MongoDB backups for the first time. |
Version ontrol; Scheduling; Notifications and logging; Assertions; Web based development environment; Alerting; Incremental tables; Packages; Reusable code snippets; Unit tests; Data tests | Compression; Differential Backup; Disaster Recovery; Encryption; Incremental Backup |
Statistics | |
GitHub Stars 934 | GitHub Stars - |
GitHub Forks 188 | GitHub Forks - |
Stacks 818 | Stacks 1 |
Followers 53 | Followers 5 |
Votes 0 | Votes 0 |
Integrations | |
What are some alternatives to Dataform, Percona Backup for MongoDB?
dbForge Studio for MySQL
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dbForge Studio for Oracle
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dbForge Studio for PostgreSQL
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Metabase
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dbForge Studio for SQL Server
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Liquibase
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Sequel Pro
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DBeaver
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dbForge SQL Complete
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Knex.js
Knex.js is a "batteries included" SQL query builder for Postgres, MySQL, MariaDB, SQLite3, and Oracle designed to be flexible, portable, and fun to use. It features both traditional node style callbacks as well as a promise interface for cleaner async flow control, a stream interface, full featured query and schema builders, transaction support (with savepoints), connection pooling and standardized responses between different query clients and dialects.
