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Master Data Services vs Stellar

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Master Data Services
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Stellar
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Stellar vs Master Data Services: What are the differences?

What is Stellar? Fast database snapshot and restore tool for development. Stellar allows you to quickly restore database when you are e.g. writing database migrations, switching branches or messing with SQL. PostgreSQL and MySQL are supported.

What is Master Data Services? 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.

Stellar and Master Data Services can be categorized as "Database" tools.

Stellar is an open source tool with 3.67K GitHub stars and 112 GitHub forks. Here's a link to Stellar's open source repository on GitHub.

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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 Stellar?

Stellar allows you to quickly restore database when you are e.g. writing database migrations, switching branches or messing with SQL. PostgreSQL and MySQL are supported.

Need advice about which tool to choose?Ask the StackShare community!

What tools integrate with Master Data Services?
What tools integrate with Stellar?
    No integrations found
    What are some alternatives to Master Data Services and Stellar?
    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

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