Sign in
Categories
Your Saved List Become a Channel Partner Sell in AWS Marketplace Amazon Web Services Home Help

SingleStore Helios

SingleStore | 1

Reviews from AWS customer

1 AWS reviews
  • 5 star
    0
  • 1
  • 3 star
    0
  • 2 star
    0
  • 1 star
    0

External reviews

121 reviews
from and

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


4-star reviews ( Show all reviews )

    Shiran Y.

Great technology

  • September 15, 2019
  • Review provided by G2

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.
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


    Financial Services

Good fit as an operational data store for legacy databases

  • September 13, 2019
  • Review provided by G2

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.


    Financial Services

Great for extreme data processing

  • September 13, 2019
  • Review provided by G2

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.


    Financial Services

Excellent in memory db

  • September 12, 2019
  • Review provided by G2

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.


    Financial Services

Excellent scalable distributed in memory database

  • September 12, 2019
  • Review provided by G2

What do you like best about the product?
Very fast performance, excellent scalability, good support, good documentation and very stable product
What do you dislike about the product?
No native admin tools means you have to use command line or MySQL workbench witch isn’t ideal
What problems is the product solving and how is that benefiting you?
Coming from an MS SQL database it was much easier to develop a multi fault tolerant database that outperformed a rotational disk array states many fold.


    Internet

Best of the both world

  • September 12, 2019
  • Review provided by G2

What do you like best about the product?
MemSQL has both row and columnar based storage and seamlessly able to query across both
What do you dislike about the product?
Deployment need more work and it need to several works to be done
What problems is the product solving and how is that benefiting you?
OLTP high write throughput data aggregation query engine


    Vidhya G.

Evaluated memsql as poc for our use case

  • September 10, 2019
  • Review provided by G2

What do you like best about the product?
Good performance, scalability and easy setup. Kafka Integration was easy with native UI
What do you dislike about the product?
Integration with BI tools (tableau, microstrategy)
What problems is the product solving and how is that benefiting you?
Data lake with memsql. Performance increased multifold and scaled for large volume of data


    Information Technology and Services

Manage a huge data amount in ram

  • September 10, 2019
  • Review provided by G2

What do you like best about the product?
Store data across RAM's cluster and could access It really fast
What do you dislike about the product?
Some strange behaviour like Primary Keys disorder in past upgrade.
What problems is the product solving and how is that benefiting you?
Manage huge amount of data fast than others.


    Omer B.

Great product

  • September 10, 2019
  • Review provided by G2

What do you like best about the product?
The similarity to mysql. very clever architecture. very easy to use Kafka with im
What do you dislike about the product?
The time that take for first query.
The time that take to query with temp table (and in mySql is work very quick)
What problems is the product solving and how is that benefiting you?
Quickness of queries, use one query that contain all (without temp tables)
Recommendations to others considering the product:
why using temp tables is doesn't work well in memsql


    Computer Software

Real time analytics

  • September 10, 2019
  • Review provided by G2

What do you like best about the product?
Distributed columnar database which allow online analytics queries.

Fast insert and update data volums
What do you dislike about the product?
No foreign keys (at least as a hint) to allow distributing tables which share the same key at the same nodes.
What problems is the product solving and how is that benefiting you?
Real-time Querying a big data volume