What users are saying about
Top Rated
102 Ratings
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25 Ratings
Top Rated
102 Ratings
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Score 8.5 out of 100

SingleStore (formerly MemSQL)

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25 Ratings
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Score 7.5 out of 100

Likelihood to Recommend

Amazon DynamoDB

It is ideal for those projects where you need to store a large amount of data, but you do not know how many will be so you need the database to increase its storage capacity together with the number of users, without having to spend extra money, it also has a great potential thanks to the fast connection it offers, so the data travels at high speed, and this speeds up the performance of the applications, excellent for projects where non-relational databases are used and what matters is to store large quantities of information and use them at high speed.
Winston Mendes | TrustRadius Reviewer

SingleStore (formerly MemSQL)

SingleStore [formerly (MemSQL)] is very well suited for places- where the components are processing very large amounts of data and requires very low latency.- Columnstore compression of data reduces the time to respond. Compression resulted in quick responses which are not achieved using the other DB tools.- The concept of Rowstore and implementation on frequently used tables results in support of high OLTP.Not suited/less appropriate- The In-memory(Rowstore) and col-store does not share the same language compatibility. When required the transition form other table type more efforts are required.- SingleStore DB (formerly MemSQL) connection between AWS cloud failed when partitioning is higher for data processing.- Administration is sometime bit confusing when providing layered access to different teams.
Anonymous | TrustRadius Reviewer

Feature Rating Comparison

NoSQL Databases

Amazon DynamoDB
8.5
SingleStore (formerly MemSQL)
Performance
Amazon DynamoDB
8.7
SingleStore (formerly MemSQL)
Availability
Amazon DynamoDB
9.3
SingleStore (formerly MemSQL)
Concurrency
Amazon DynamoDB
8.7
SingleStore (formerly MemSQL)
Security
Amazon DynamoDB
9.0
SingleStore (formerly MemSQL)
Scalability
Amazon DynamoDB
8.9
SingleStore (formerly MemSQL)
Data model flexibility
Amazon DynamoDB
7.1
SingleStore (formerly MemSQL)
Deployment model flexibility
Amazon DynamoDB
8.1
SingleStore (formerly MemSQL)

Pros

Amazon DynamoDB

  • It's very easy to get started, creating a table with a partition/sort key and you're on your way.
  • You can scale up and down your read/write IO as needed.
  • You can store structured and unstructured data.
  • It works great with Web Development as it's JSON based.
Bob Smith | TrustRadius Reviewer

SingleStore (formerly MemSQL)

  • Ease of use (installation, managed service, pipelines)
  • Hybrid configuration (on-premise & cloud), analytical and transactional workload
  • ANSI SQL as a standard
  • Runs on any major cloud platform
Erik Fransen | TrustRadius Reviewer

Cons

Amazon DynamoDB

  • Complex searching (no support for case-insensitive or full-text search).
  • Only supports up to two-key indexes.
  • Requires choosing the indexes up-front when doing searches.
  • Does not have an SQL compatible query front-end.
  • No join-table support (requires putting all data into one table).
Chris Moyer | TrustRadius Reviewer

SingleStore (formerly MemSQL)

  • Does not provide adequate support for data discovery apps, i.e. Power BI.
  • It would be great to have a native load balancing component for dealing with aggregator failure. Otherwise having a Child Aggregator becomes optional since not all the customers can afford an external balancing solution and does not feel confortable with switching between aggregators manually.
  • They used to have certifications and training in development and administration. That is very important to have, since other competitors does provide access to those sort of things and although they have free tutorials/videos, that doesn't provide an in-depth understanding.
Diego Montúfar | TrustRadius Reviewer

Likelihood to Renew

Amazon DynamoDB

Amazon DynamoDB 8.7
Based on 34 answers
We will most likely continue to use DynamoDB for certain use-cases. If we stopped using DynamoDB as often, it would likely be because we started using Aurora Serverless more. Aurora Serverless may offer similar availability, management and cost benefits while allowing developers to use their MySQL tools and experience.
Anonymous | TrustRadius Reviewer

SingleStore (formerly MemSQL)

SingleStore (formerly MemSQL) 5.0
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 | TrustRadius Reviewer

Usability

Amazon DynamoDB

No score
No answers yet
No answers on this topic

SingleStore (formerly MemSQL)

SingleStore (formerly MemSQL) 7.7
Based on 6 answers
[Until it is] supported on AWS ECS containers, I will reserve a higher rating for SingleStore. Right now it works well on EC2 and serves our current purpose, [but] would look forward to seeing SingleStore respond to our urge of feature in a shorter time period with high quality and security.
Anonymous | TrustRadius Reviewer

Support Rating

Amazon DynamoDB

No score
No answers yet
No answers on this topic

SingleStore (formerly MemSQL)

SingleStore (formerly MemSQL) 7.7
Based on 6 answers
Very responsive to trouble tickets - Often, I think, the SingleStore's monitoring systems have already alerted the engineers by the time I get around to writing a ticket (about 10 - 20 mins after we see a problem). I feel like things are escalated nicely and SingleStore takes resolving trouble tickets seriously. Also SingleStore follows up after incidents to with a post mortem and actionable takaways to improve the product. Very satisfied here.
John Barry | TrustRadius Reviewer

Alternatives Considered

Amazon DynamoDB

We evaluated using MongoDB or Amazon DyanmoDB. For us, the biggest advantage is that there's no maintenance cost for Amazon DynamoDB. Mongo gets complicated when you setup sharding. With Amazon DynamoDB, it's literally a push of button to increase throughput. This saves time and money on DevOps resources.
Anonymous | TrustRadius Reviewer

SingleStore (formerly MemSQL)

I guess the main difference is how the memory is used for stacking and storing data until it reaches the final destination, the performance is awesome compared with others and when you have a real time business with a certain complexity. The development team would be more familiarized with the SQL environment and there’s practically a zero learning curve, when you compare this with other data bases you’re going to find that there’s a huge saving in time and money.
Jacob Ortega | TrustRadius Reviewer

Return on Investment

Amazon DynamoDB

  • Since the Amazon manages the instance, the amount of time a developer needs to spend configuring the database is less. For comparison, if we were to manage the same instance manually, we need to set up EC2 instance, install the DB, setup backup scripts, track backup failures, which is a great overhead for the dev. Using DynamoDB this overhead is reduced and hence having a great ROI.
  • Great documentation and easy setup makes an easy learning curve to transition to DynamoDB. Only caveat is as with any database, the data structure should be thoroughly analyzed for types of querying because there are limitations with the DynamoDB API.
  • Ties very well with rest of the Amazon eco system. Having rest of the applications in Amazon allows managing the application security a breeze.
Anudeep Palanki | TrustRadius Reviewer

SingleStore (formerly MemSQL)

  • License cost is lower than many of its competitors.
  • Requires very little administration. We are getting by without even hiring an admin.
  • Integrating the pipelines and the DB engine simplifies the solution architecture, which means less infrastructure is needed, less license cost, and shorter development cycle.
Anonymous | TrustRadius Reviewer

Screenshots

Pricing Details

Amazon DynamoDB

General

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

Amazon DynamoDB Editions & Modules

Edition
On-Demand - Write Operation$1.251
On-Demand Read Operation$0.251
On-Demand Data Stored$0.252
On-Demand Point-in-Time Recovery$0.202
On-Demand Snapshot$0.102
On-Demand Restoring a Backup$0.153
On-Demand Global Tables$1.8754
On-Demand Streams$0.025
On-Demand Data Requests Outside AWS Regions$0.096
Provisioned - Write Operation$0.000657
Provisioned - Read Operation$0.000137
Provisioned - Data Stored$0.258
Provisioned - Point-in-Time Recovery$0.208
Provisioned - Snapshot$0.108
Provisioned - Restoring a Backup$0.159
Provisioned - Global Tables$0.00097510
Provisioned - Streams$0.0211
Provisioned - Data Requests Outside AWS Regions$0.0912
  1. per million requests
  2. per GB per month
  3. per GB
  4. per million write operations replicated
  5. per 100,000 read operations
  6. per GB
  7. capacity unit per hour
  8. per GB per month
  9. per GB
  10. per Read Capacity
  11. per 100,000 read operations
  12. per GB
Additional Pricing Details

SingleStore (formerly MemSQL)

General

Free Trial
Yes
Free/Freemium Version
Yes
Premium Consulting/Integration Services
Yes
Entry-level set up fee?
Optional

SingleStore (formerly MemSQL) Editions & Modules

Edition
OnDemand0.691
  1. per hour
Additional Pricing Details

Rating Summary

Likelihood to Recommend

Amazon DynamoDB
8.8
SingleStore (formerly MemSQL)
7.8

Likelihood to Renew

Amazon DynamoDB
8.7
SingleStore (formerly MemSQL)
5.0

Usability

Amazon DynamoDB
SingleStore (formerly MemSQL)
7.7

Support Rating

Amazon DynamoDB
SingleStore (formerly MemSQL)
7.7

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