What users are saying about

Amazon Aurora

42 Ratings

MemSQL

7 Ratings

Amazon Aurora

42 Ratings
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Score 8.1 out of 101

MemSQL

7 Ratings
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Score 8.8 out of 101

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Likelihood to Recommend

Amazon Aurora

Amazon Aurora should be considered for those who need a fast and reliable cloud database service. It includes the main features of a MySQL database, using the latest trends in architectural principals. It ensures out-of-the-box fault-tolerance and high scalability. It is also very important for those who don’t want to worry about features and security updates. As the price is higher than a standard MySQL for instance, it should only be considered for higher applications where performance and scalability is really important.
Vasco Mendes profile photo

MemSQL

MemSQL is especially useful to serve as a back-end storage for spark streaming, and also small update problems. The streamliner technology is very helpful to process daily streaming data and consequent data analysis. Same SQL syntax is also very handy for people to learn and use.
Sachin Aggarwal profile photo

Pros

  • Automated maintenance for upgrades is by far the most superior feature of Amazon Aurora. Never be behind on upgrades again!
  • Performance improvements for poorly structured schema due to enhancements added by Amazon.
  • Replication works flawlessly due to added security measures added into Amazon Aurora which prevents admin users from "accidentally" breaking the slave instance.
  • Amazon Aurora is hosted on Amazon's RDBMS which also includes quick and easy setup of new database instances.
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  • Faster query speed than traditional SQL database.
  • It con server in the pipeline to deal with streaming data with Kafka, spark streaming and MemSQL
  • It is very scalable.
Sachin Aggarwal profile photo

Cons

  • I'd like to see Amazon Aurora get ahead of the curve on MySQL and introduce their own improvements to MySQL to make it a superior database so that I don't need to use SQL Server or Oracle to get performance improvements. For example, improve performance of views.
  • Amazon Aurora needs to improve the ability to restore backups as needed. Currently, the user can only restore an entire instance to a new or existing RDBMS instance. If you need to retrieve data from a single table, this can be tedious after waiting hours for an entire restore to complete. Instead, allow the user to select a database to restore. Better yet, allow the user to restore a database backup to ANOTHER database - which would allow you to restore a database on the same instance.
  • Again beat MySQL to the punch and introduce REAL server to server communication since they have disabled the "Federated Engine" which was the only way previously to do this. I'd like to be able to setup MySQL instances to talk to other MySQL instances.
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  • Provide faster python API for invoking MemSQL
  • MemSQL connection between spark failed when more than around 48 partitions data processing
  • Better tuning of MemSQL performance on Scale-up server
Sachin Aggarwal profile photo

Likelihood to Renew

No score
No answers yet
No answers on this topic
MemSQL5.0
Based on 1 answer
I still want to see the performance about using latest version of spark and memsql. About renewal, if there is a new and better version of spark-memsql connector, then maybe.
Tianwen Chu profile photo

Alternatives Considered

In the end, we went with Amazon Aurora due to the decent performance and cost. Cost was determined in two ways for us: 1) no additional license is required (such as using SQL Server or Oracle) and 2) the ability to cut down on needed resources to maintain the system from the maintenance perspective due to the built-in maintenance capabilities. Amazon Aurora is also based on MySQL (soon to include PostgreSQL ) which allowed my team to quickly and easily move our existing MySQL servers to a faster system.
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I have tried using CSV as a back-end storage, yet I/O is very heavy, direct transit from spark to MemSQL in memory really beats.
Sachin Aggarwal profile photo

Return on Investment

  • The main positive for my team is the time that has been freed up from the tasks of managing updates and fixing replication issues.
  • A negative for myself as a database administrator is removal of features that were available in Mysql. Examples include 1) the use of the storage engines other than InnoDB (such as the Federated Storage Engine), 2) certain administrative privileges such as ability to export to csv file and easy ability to kill processes. I seem to also forget they removed the built-in kill ability and you must use their own provided kill functionality.
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  • It offers me solution to solve spark storage problem
  • It adds more complexity of my application since multiple tech softwares are involved.
  • More types of bugs will be encountered when doing streamliner, including hardware connection.
Sachin Aggarwal profile photo

Pricing Details

Amazon Aurora

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details

MemSQL

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details