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MemSQL hungry for memory
What do you like best about the product?
Few quires will run faster if you did everything correctly as per undocumented, unexplained MemSQL specification.
What do you dislike about the product?
It's unusable as ANSI compliant SQL server. Single and simple insert, update and delete do not work. Data can be loaded faster if it is in perfectly formatted CSV file. It frequently runs out of memory. We have 3 nodes with 2 aggregates with total of 160GB of memory and it still runs out of memory. Local Pipelines can do very less in real world scenarios.
What problems is the product solving and how is that benefiting you?
We were trying to manipulate large amount of electric meter reads and analyze our data with different scenario like area of server vs rate structures. So far it we have failed to materialize any advantage out of it.
Recommendations to others considering the product:
Evaluate other alternatives.
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Performance and Distributed Architecture
What do you like best about the product?
High Speed Ingest and flexible data formats
What do you dislike about the product?
None aso of now. As we drill down doc more questions will arise
What problems is the product solving and how is that benefiting you?
Testing huge workloads out of oracle.
Recommendations to others considering the product:
Go for it
MemSQL Review
What do you like best about the product?
Row-based memory storage and Column-based disk storage
What do you dislike about the product?
Nothing in particular; it's just another relational database.
What problems is the product solving and how is that benefiting you?
Analytics related work in networking switch domain
Work with Memsql everyday for our platform in Kenshoo
What do you like best about the product?
The speed of queries, Kafka stream support, the easy to learn - syntax same as Mysql.
Your support is great, answer quickly on ticket.
Your support is great, answer quickly on ticket.
What do you dislike about the product?
First query run time (compilation time), not easy and clear how to analyze/improve slow query.
What problems is the product solving and how is that benefiting you?
Slow queries in Mysql.
Memsql allow us to run all queries with no limitation on every scale of data.
Memsql allow us to run all queries with no limitation on every scale of data.
Integration - ease of use
What do you like best about the product?
Well, our engineers were extremely happy to use MemSQL to integrate a no. of data we were trying to pull together. As i understand, this product made the ride jiffy! Keep doing the great work.
What do you dislike about the product?
There was nothing specific that I can recollect we encountered while deploying memSQL. In case there was, I believe the support team was excellent.
What problems is the product solving and how is that benefiting you?
Integrate a no. of data we were trying to pull together. As i understand, this product made the ride jiffy! Keep doing the great work.
Recommendations to others considering the product:
N/A
Great technology
What do you like best about the product?
The queries are mostly the same as mysql so it's pretty easy to move to use memsql.
The queries runs much faster and give our users a great experience using our system.
The queries runs much faster and give our users a great experience using our system.
What do you dislike about the product?
The first loading of the queries is a bit slow.
What problems is the product solving and how is that benefiting you?
Queries performance
Scaling Without Worries
What do you like best about the product?
The ease with which our team can build out new data models and deploy them into our production systems without worry that our infrastructure can handle it.
What do you dislike about the product?
While MemSQL is an excellent managed database service, the price tag for the features that they deliver is fairly high compared to the market.
What problems is the product solving and how is that benefiting you?
We are able to unify massive content delivery data across our clients in the Global 2000, and have built out a market leading analytics stack on top of that that we are able to deliver back to our clients. We have been able to rapidly develop and scale data models that have made us a leader in our space.
Good fit as an operational data store for legacy databases
What do you like best about the product?
Fast response times which makes it a good fit for an alternate ODS for legacy databases like Db2 on mainframe. Also, it has potential to be used for both for transaction processing as well analytical queries.
What do you dislike about the product?
Some of the data types supported by legacy databases are not supported by MemSQL
What problems is the product solving and how is that benefiting you?
On legacy databases like Db2 on mainframe, a bulk of the transactions are for read while a small part is related to write. Porting the data onto MemSQL and creating a copy allows the application to divert the inquiry calls to the alternate database thereby saving lot of money.
Recommendations to others considering the product:
A good option for ODS with legacy databases. Also, the in-memory processing means it can support both transaction processing as well as analytical queries.
Great for extreme data processing
What do you like best about the product?
For extremely large data mining, memsql stands above the rest. The ability to process an extreme amount of data expediently is by far the greatest part of memsql.
What do you dislike about the product?
Being on the Operations side of Memsql comes with it's challenges. There's a high learning curve for it, and at this time there isn't nearly as much out on the internet to help. Support is great, but being able to get in-the-moment answers is lacking.
What problems is the product solving and how is that benefiting you?
Currently the teams are using Memsql to parse extremely large datasets in times that used to take days.
Excellent in memory db
What do you like best about the product?
I would suggest them to make the physical persistence more robust.
What do you dislike about the product?
The physical persistence is not as robust as I would have liked to.
What problems is the product solving and how is that benefiting you?
Real-time data pipeline to build large look up ability before sending it over to hadoop. Cluster.
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