Which database can handle millions of data?

Question

The NoSQL DB, such as Cassandra, DynamoDB, are best fit for huge amount of key-value records. They are very easy to scale. If one record is 512bytes, 1 million records are 0.5GB. If the load keeps ingesting at 1 million rate for 100 days, total data will be 50GB. 30 авг. 2014 г.

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 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 much data can a database handle?

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.

How does MySQL handle millions of data?

I need to handle millions of records per day in MySQL.1Make sure your tables have sensible primary keys.2Make sure your queries are using those PKs.3For queries that can't use the PK for lookups, create indexes on the columns you're using for lookups.4Learn the EXPLAIN command and make s.I need to handle millions of records per day in MySQL. What is ... - Quora

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