Compare IBM solidDB vs. MySQL

IBM solidDB is ranked 27th in Relational Databases while MySQL is ranked 4th in Relational Databases with 13 reviews. IBM solidDB is rated 0, while MySQL is rated 8.0. On the other hand, the top reviewer of MySQL writes "Offers a simple DBMS solution with a very low hardware footprint. Only one of the engines supports ACID transaction control". IBM solidDB is most compared with MySQL, SQL Server and IBM Db2, whereas MySQL is most compared with CockroachDB, IBM Db2 and Firebird SQL.
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IBM solidDB Logo
532 views|347 comparisons
MySQL Logo
Read 13 MySQL reviews.
13,924 views|11,882 comparisons
Most Helpful Review
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Find out what your peers are saying about Microsoft, Oracle, Teradata and others in Relational Databases. Updated: November 2019.
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Quotes From Members

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Pricing and Cost Advice
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Can range from free to quite expensive, depending on the environments and requirements, so better to really set goals ahead of setting it up.MySQL Enterprise Support is not cheap, though might still be cheaper than Oracle or SQL Server. They may not have local support depending on where you’re based, but there are many smaller agencies out there that will readily provide support. You’ll need to spend some time looking around.​Enterprise editions and support are definitely needed for the heavy users who need direct support. ​When you know the setup will continue to grow, make sure you have the paid support.

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382,196 professionals have used our research since 2012.
Ranking
27th
Views
532
Comparisons
347
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
4th
Views
13,924
Comparisons
11,882
Reviews
11
Average Words per Review
424
Avg. Rating
8.0
Top Comparisons
Compared 47% of the time.
Compared 31% of the time.
Compared 22% of the time.
Compared 12% of the time.
Compared 12% of the time.
Compared 11% of the time.
Also Known As
solidDB
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Oracle
Overview

IBM solidDB is a relational database server that combines the high performance of in-memory tables with the nearly unlimited capacity of disk-based tables.

Pure in-memory databases are fast, but strictly limited by the size of memory. Pure disk-based databases allow nearly unlimited amounts of storage, but their performance is dominated by disk access. Even if the computer has enough memory to store the entire database in memory buffers, database servers that are designed for disk-based tables can be slow because the data structures that are optimal for disk-based tables are far from being optimal for in-memory tables. The solidDB solution is to provide a single hybrid database server that contains two optimized engines inside it:

  • The main-memory engine (MME) is optimized for in-memory access.
  • The disk-based engine (DBE) is optimized for disk-based access.

Both engines coexist inside the same server process, and a single SQL statement can access data from both engines.

Until its recent acquisition by Oracle, MySQL was possibly the most renowned open source database enterprise package that could be accessed completely for free. With the merger, the server increased both its features and its price tag, but there is still a free version available to the general community to contribute ideas and suggestions.

MySQL is a fast and relatively inexpensive database management system. It can easily integrate with a wide variety of programming languages, and it is considered to be a very reliable option. One of the most prominent features that customers seem to enjoy is the easy scalability of this system.

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Sample Customers
Iskratel Facebook, Tumblr, Scholastic, MTV Networks, Wikipedia, Verizon Wireless, Sage Group, Glassfish Open Message Queue, and RightNow Technologies.
Top Industries
No Data Available
REVIEWERS
University23%
Mining And Metals Company9%
Software R&D Company9%
Non Tech Company9%
VISITORS READING REVIEWS
Software R&D Company21%
Retailer14%
Comms Service Provider9%
Media Company8%
Find out what your peers are saying about Microsoft, Oracle, Teradata and others in Relational Databases. Updated: November 2019.
382,196 professionals have used our research since 2012.
We monitor all Relational Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
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