Is MySQL good for large data?

Question

MySQL is designed around full transactional semantics with support for long transactions and works with disk-based log durability. It is therefore not well suited for use with this kind of highly volatile data. 5 янв. 2018 г.

How much data is too much for MySQL?

A database should not contain more than 1,000 tables; Each individual table should not exceed 1 GB in size or 20 million rows; The total size of all the tables in a database should not exceed 2 GB.

Can MySQL handle 1 million records?

Millions of rows is fine, tens of millions of rows is fine - provided you've got an even remotely decent server, i.e. a few Gbs of RAM, plenty disk space. You will need to learn about indexes for fast retrieval, but in terms of MySQL being able to handle it, no problem.

How does MySQL handle large data?

What I've understood so far to improve the performance for very large tables:1(for innoDB tables which is my case) increasing the innodb_buffer_pool_size (e.g., up to 80% of RAM). ... 2having proper indexes on the table (using EXPLAN on queries)3partitioning the table.4MySQL Sharding or clustering.Handling very large data with mysql - Stack Overflow

Which database is best for large data?

TOP 10 Open Source Big Data DatabasesCassandra. Originally developed by Facebook, this NoSQL database is now managed by the Apache Foundation. ... HBase. Another Apache project, HBase is the non-relational data store for Hadoop. ... MongoDB. ... Neo4j. ... CouchDB. ... OrientDB. ... Terrstore. ... FlockDB.TOP 10 Open Source Big Data Databases - Bitnine.net

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