Is MySQL suitable for big 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.

Can SQL be used for big data?

SQL stands for structured query language. It is one of the most widely used languages for extracting data from databases in traditional data warehouses and big data technologies.

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

Can MySQL handle 100 million records?

MySQL can easily handle many millions of rows, and fairly large rows at that.

Expert · Answer