MySQL vs. Teradata

As of February 2019, MySQL is ranked 2nd in Relational Databases with 34 reviews vs Teradata which is ranked 4th in Relational Databases with 19 reviews. 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". The top reviewer of Teradata writes "It is the core of our fundamental real-time reporting and operational planning. ". MySQL is most compared with CockroachDB, Firebird SQL and Oracle Database. Teradata is most compared with Oracle Exadata, SQL Server and Pivotal Greenplum. See our MySQL vs. Teradata report.
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MySQL Logo
Read 34 MySQL reviews.
17,776 views|9,117 comparisons
Teradata Logo
19,885 views|11,829 comparisons
Most Helpful Review
Find out what your peers are saying about MySQL vs. Teradata and other solutions. Updated: January 2019.
316,375 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
It creates a unified view of the entire architecture and performance factor, helping to manage the network more easily.It has a remote access feature to manage the database from a remote location. This enables in-work collaboration.I use MySQL for employee service in an OLTP database.Support for enterprise-grade features like clustering, master-slave replication, even Sharding (to some extent) which is an advanced feature.​The most valuable feature of MySQL is the informative error outputs of command line interface.​​We use MySQL for enterprise data storage as well as part of the back-end of websites and web applications.​Setup is easy. MySQL of various flavours has community editions to easily test, deploy, and run.​A lot of the software components have been trialed and tested for often more than 10 years.

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It handles large amounts of information with a linear performance increase, in relation to a HW investment.It has a solid set of tools and consulting services.It has massive parallel processing ability to do large amounts of concurrent querying.It has given our business the ability to gain insights into the data and create data labs for analysis and PoCs.Cuts time to process huge amounts of data with efficient analytical queries.A conventional and easily defined way to build a data warehouse or a layer of data marts.Teradata can be easily used in ETL mode transformations, so there is no need for expensive and inconvenient ETL toolsAuto-partitioning and indexing, and resource allocation on the fly are key features.

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Cons
The only service which could be improved is its usability. The entire user experience needs to be revamped to meet the 2018 design standards.When working with a cluster wide, I have to use the MySQL cluster version.I feel that some tools which make it easier to create queries or make it easier for other functions would be really interesting to see.Some problems with big table operations, and a struggle to keep the servers responding in peak situations.It would be helpful if there were a graphical user interface to administer, configure, and tune it.If it had something similar to Microsoft’s DTS engine then it would be the best database system out there.​MySQL needs improvements on its diagnostic features.​​MySQL is not easily scalable on cost effective consumer grade hardware.​

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It needs a teaching web site with more training on third-party tools used for BI.We tried to use case Teradata for a data warehouse system, but we had some problems in relation to the Teradata system, CDC tools, and source databases. We were unable to transfer data from HPE Integrity mainframe to Teradata.There is a need to improve performance in high transaction processes, as well as the reporting system.Query language and its functionality are rather limited, compared to Oracle or even SQL Server. However, it is possible to perform any kind of logic in it (though some workarounds may be required).Data ingestion is done via external utilities and not by the query language itself. It would be more convenient to have that functionality within its SQL dialect.Needs compatibility with more Big Data platforms.It would help to make scaling easier with a reduced cost. ​​I think the UI is not there yet. It could be improved by being more user-friendly.​

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Pricing and Cost Advice
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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We are looking for a more flexible cost model for the next version that we use, whether it be cloud or on-premise.Price is quite high, so if it is really possible to use other solutions (e.g. you do not have strict requirements for performance and huge data volumes), it might be better to look at alternatives from the RDBMS world.Teradata is expensive but gives value for money, especially if you don't want to move your data to the cloud.It is still a very expensive solution. While I very much like the pure technological supremacy of the software itself, I believe Teradata as a company needs to become more affordable. They are already losing the market to more flexible or cheaper competitors.Teradata is currently making improvements in this area.The initial cost may seem high, but the TCO is low.In the past, it turned out that other solutions, in order to provide the full range of abilities that the Teradata platform provides plus the migration costs, would end up costing more than Teradata does.Make sure you have the in-house skills to design and support the solution, as relying on external sources is extremely costly and tends to lock you into specific platforms, tools, and paradigms.

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report
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316,375 professionals have used our research since 2012.
Ranking
2nd
Views
17,776
Comparisons
9,117
Reviews
33
Followers
1,193
Avg. Rating
8.2
4th
Views
19,885
Comparisons
11,829
Reviews
19
Followers
838
Avg. Rating
8.5
Top Comparisons
Compared 14% of the time.
Compared 13% of the time.
Compared 11% of the time.
Compared 24% of the time.
Compared 20% of the time.
Compared 7% of the time.
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Oracle
Teradata
Overview

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.

Teradata's portfolio of big data analytic solutions, integrated marketing applications, and services help organizations gain a sustainable competitive advantage with data.

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Sample Customers
Facebook, Tumblr, Scholastic, MTV Networks, Wikipedia, Verizon Wireless, Sage Group, Glassfish Open Message Queue, and RightNow Technologies.Netflix
Top Industries
REVIEWERS
University20%
Non Tech Company10%
Mining And Metals Company10%
Manufacturing Company5%
VISITORS READING REVIEWS
Financial Services Firm30%
Comms Service Provider22%
Software R&D Company13%
Government8%
Company Size
REVIEWERS
Small Business46%
Midsize Enterprise24%
Large Enterprise30%
REVIEWERS
Small Business18%
Midsize Enterprise5%
Large Enterprise77%
VISITORS READING REVIEWS
Small Business38%
Midsize Enterprise17%
Large Enterprise46%
Find out what your peers are saying about MySQL vs. Teradata and other solutions. Updated: January 2019.
316,375 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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