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Reviews from AWS customer

1 AWS reviews
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External reviews

121 reviews
from and

External reviews are not included in the AWS star rating for the product.


    Internet

MemSql a great tools for sub-second queries

  • September 12, 2019
  • Review provided by G2

What do you like best about the product?
The MemSql Studio is a great tool (profiling and resource usage are great features)
The MySql compatibility is a great help for porting existing projects.
What do you dislike about the product?
The FullText feature is limited in comparison to other tools (Analyzer flexibility), but I expect it to be improved.
What problems is the product solving and how is that benefiting you?
We are using it for an analysis dashboard that requires sub-second responses.
Recommendations to others considering the product:
It a very fast DB (using columnstore), easy to maintain and porting from MySql was flawless.


    Walt P.

Scale and speed!

  • September 11, 2019
  • Review provided by G2

What do you like best about the product?
I love how we can get scale and speed out of this database technology. We have loaded data in volumes that have historically stopped other database technologies in their tracks. We also have integrated the Memsql with our data visualization software which streamlines our reporting channels.
What do you dislike about the product?
I don't have any complaints at this point.
What problems is the product solving and how is that benefiting you?
Creating and maintaining secure databases at scale for our company. We have found that we don't need to ask if the database can handle the volume when using memsql.
Recommendations to others considering the product:
Take the time to learn what is available specifically to MemSQL. The documentation available is incredibly helpful when making a determination about what we can do with MemSQL. It has been an invaluable piece of the puzzle for us when bringing junior developers online and up to speed about how things work with MemSQL.


    Health, Wellness and Fitness

Very reliable and easy to use database

  • September 11, 2019
  • Review provided by G2

What do you like best about the product?
it was fast to query, there is a lot of support, updates in real time, effective database
What do you dislike about the product?
Lack of alerts , log in failed a few times
What problems is the product solving and how is that benefiting you?
faster to run bigger data queries, easier to query larger sets of data


    Ido W.

Dev Manager review

  • September 11, 2019
  • Review provided by G2

What do you like best about the product?
Unique value proposition, provide performance and scalability of similar NoSql products, with a flexible SQL query support
What do you dislike about the product?
Doesn't behave like traditional SQL DBs, lots of concepts and new behaviors to master, not so comprehensive analysis/monitoring tools available yet
What problems is the product solving and how is that benefiting you?
High throughput of queries


    Hospital & Health Care

Easy to set up - super fast to use

  • September 11, 2019
  • Review provided by G2

What do you like best about the product?
The best thing about memsql is the speed at which queries are run - add kafka pipelines for your ETL process and everything data related becomes much easier.
What do you dislike about the product?
Nothing really - everything runs pretty smooth and the support provided is great.
What problems is the product solving and how is that benefiting you?
Our primary BI tool is Tableau - before we implemented MemSQL, we were connecting Tableau to MSSQL Server and running reports off there - however, the performance was extremely slow especially when querying large chunks of data. With Mem, we can query as much data as we need with little to no impact on performance time.


    Research

Nice UI, good integration with Spark

  • September 11, 2019
  • Review provided by G2

What do you like best about the product?
Ease of use from Spark. Tables in hdfs was easy to put inside MemSQL from Spark (table is created from df schema). Connectivity plugin is added through spark-submit. Web UI allows writing commands, see memory usage, schema etc.
What do you dislike about the product?
Upon uploading hdfs table into MemSQL due to insufficient memory node was going down. Wasn't able to delete this table due to some nodes being down. Auto table creating from Spark was missing columnstore save mode.
What problems is the product solving and how is that benefiting you?
Updates on big tables (imported from Hadoop).


    Vasanth R.

Amazing Performance of MemSQL

  • September 11, 2019
  • Review provided by G2

What do you like best about the product?
Amazing performance of MemSQL both for reads and writes.
No blocking sessions.
Non blocking indexes.
Excellent performance for Dashboards, mobile applications, warehouses, data science, realtime reporting performance.
What do you dislike about the product?
Central monitoring not available.
Indexes are built on start up and if there are too many indexes it takes more time.
What problems is the product solving and how is that benefiting you?
Data Science, OLAP Reporting using Tableau, BOBJ.
Recommendations to others considering the product:
High Speed normal SQL Database compared to other products in the market like Document / Key Store database which is difficult to understand. Apart from that, this also supports Document storage.


    Yoni Y.

Memsql fast and stable!

  • September 11, 2019
  • Review provided by G2

What do you like best about the product?
Memsql works very fast it is easy to use and implement and it is mostly very stable and the support is mostly quick and responsive
What do you dislike about the product?
There are some bugs sometimes but mostly they are fixable and you can continue without any impact .
What problems is the product solving and how is that benefiting you?
We solved a slowness in our grid reports by using memsql. This improved significantly the wait time our clients waited for reports to be generated and made their experience much more pleasant.
Recommendations to others considering the product:
I think i would highly recommend it for a businesses who have issues with data retrieval slowness and are looking to improve it's data retrieval speeds.


    Consumer Goods

Great performance and super easy to deploy

  • September 11, 2019
  • Review provided by G2

What do you like best about the product?
By making use of the memsql-ops tooling, I'm able to quickly and easily spin up an entire cluster with HA.
What do you dislike about the product?
The database makes heavy use of memory (which is one of its selling points), which can make it challenging in instances where large queries can bring a node to a halt due to out of memory issues. Improved understanding of the system and better monitoring can help work around that potential pit fall.
What problems is the product solving and how is that benefiting you?
Running queries over large data sets in reasonable amounts of time. We've been able to pump through many millions of records in seconds, where in other database systems we were having our queries time out.
Recommendations to others considering the product:
If you're able to accomodate the high-ish system requirements for a MemSQL cluster, and have the need for a high performance database for large datasets, give MemSQL a go.


    Financial Services

Analyst

  • September 10, 2019
  • Review provided by G2

What do you like best about the product?
The UI of the product looks great but there is still scope for improvement. The Performance degrades at times. The buttons and features could be more interactive and re-prioritized for easiness of the customers working on it.
What do you dislike about the product?
Structural backbone of the product looks unsustainable and might cause trouble in our use case. Latency on complex schema designs. We process huge chunk of data in TBs everyday and it is back and forth read write step that requires minimum latency, this product may not work as anticipated.
What problems is the product solving and how is that benefiting you?
Customer identification system for various classification and predictive business needs. In order to read/write some scenario based variables, we need more scalability and less latency. The problem with TBs of data writing in MemSQL can be good but not at a large scale handling. We need more sustainability.
Recommendations to others considering the product:
Performance for complex schema and UI. The buttons and features could be more interactive and re-prioritized for easiness of the customers working on it. The more a user works over the tool the more complexity and latency it observes. The site for resource declaration and deployment is another concern that can be dealt with and kept in mind while designing solutions to this platform. The occurrence of scenarios with customer based input/output latency is huge performance bottleneck. May be new version of the products are dealing with it in a mature and betterment data handling and storage. I love the product but still for all business needs it just doesn't add up