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Learn MorePros of Database Lab Engine
Pros of MySQL
Pros of Database Lab Engine
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Pros of MySQL
- Sql800
- Free679
- Easy562
- Widely used528
- Open source490
- High availability180
- Cross-platform support160
- Great community104
- Secure79
- Full-text indexing and searching75
- Fast, open, available26
- Reliable16
- SSL support16
- Robust15
- Enterprise Version9
- Easy to set up on all platforms7
- NoSQL access to JSON data type3
- Relational database1
- Easy, light, scalable1
- Sequel Pro (best SQL GUI)1
- Replica Support1
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Cons of Database Lab Engine
Cons of MySQL
Cons of Database Lab Engine
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Cons of MySQL
- Owned by a company with their own agenda16
- Can't roll back schema changes3
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What is Database Lab Engine?
It is an open-source experimentation platform for PostgreSQL databases. Instantly create full-size clones of your production database and use them to test your database migrations, optimize SQL, or deploy full-size staging apps.
What is 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.
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What companies use Database Lab Engine?
What companies use MySQL?
What companies use Database Lab Engine?
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What tools integrate with Database Lab Engine?
What tools integrate with MySQL?
What tools integrate with Database Lab Engine?
What tools integrate with MySQL?
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What are some alternatives to Database Lab Engine and MySQL?
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