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Master Data Services

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pgRITA vs Master Data Services: What are the differences?

Developers describe pgRITA as "Apply our experience to your PostgreSQL database, instantly". Analyzes your PostgreSQL database schema against our rules, compiling an interactive report that helps your engineers to build secure, robust and performant databases. On the other hand, Master Data Services is detailed as "Manage a master set of your organization's data". It enables you to manage a master set of your organization's data. You can organize the data into models, create rules for updating the data, and control who updates the data. With Excel, you can share the master data set with other people in your organization.

pgRITA and Master Data Services belong to "Database Tools" category of the tech stack.

Some of the features offered by pgRITA are:

  • Compiles a tailored, interactive report of your database
  • Produces tailored fixes
  • Detailed documentation explaining each potential issue

On the other hand, Master Data Services provides the following key features:

  • Excel add-in
  • Models
  • Entities
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What is Master Data Services?

It enables you to manage a master set of your organization's data. You can organize the data into models, create rules for updating the data, and control who updates the data. With Excel, you can share the master data set with other people in your organization.

What is pgRITA?

Analyzes your PostgreSQL database schema against our rules, compiling an interactive report that helps your engineers to build secure, robust and performant databases.

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What companies use Master Data Services?
What companies use pgRITA?
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    What tools integrate with Master Data Services?
    What tools integrate with pgRITA?
    What are some alternatives to Master Data Services and pgRITA?
    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
    See all alternatives