Data Compare for Oracle vs Percona Backup for MongoDB

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Data Compare for Oracle

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Percona Backup for MongoDB

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Percona Backup for MongoDB vs Data Compare for Oracle: What are the differences?

Developers describe Percona Backup for MongoDB as "A fully supported, open source, community backup tool for performing consistent hot backups in MongoDB". 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. On the other hand, Data Compare for Oracle is detailed as "Compare diffs and sync Oracle table data". It is a powerful, fast, and easy-to-use tool for Oracle database comparison and synchronization. It helps you quickly compare data in two or more tables, find the differences at a glance, and generate a script to effortlessly synchronize data. All this is done in a clear graphical interface.

Percona Backup for MongoDB and Data Compare for Oracle can be categorized as "Database" tools.

Some of the features offered by Percona Backup for MongoDB are:

  • Compression
  • Differential Backup
  • Disaster Recovery

On the other hand, Data Compare for Oracle provides the following key features:

  • Compare data in Oracle databases to detect changes
  • Analyze data differences between two databases
  • Synchronize two databases that went out of sync
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What is Data Compare for Oracle?

It is a powerful, fast, and easy-to-use tool for Oracle database comparison and synchronization. It helps you quickly compare data in two or more tables, find the differences at a glance, and generate a script to effortlessly synchronize data. All this is done in a clear graphical interface.

What is Percona Backup for MongoDB?

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.

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What tools integrate with Data Compare for Oracle?
What tools integrate with Percona Backup for MongoDB?
What are some alternatives to Data Compare for Oracle and Percona Backup for MongoDB?
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
Amazon S3
Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
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