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MemSQL Logo
3,063 views|2,764 comparisons
MongoDB Logo
4,282 views|3,446 comparisons
Most Helpful Review
Find out what your peers are saying about Microsoft, Oracle, SAP and others in Relational Databases. Updated: November 2020.
448,542 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
"MemSQL supports the MySQL protocol, and many functions are similar, so the learning curve is very short."

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"Scalability seems good. I've never been even close to finding the limits. I've run a couple of notes of redundancy but I've never had any problems with scalability.""We haven't had any issues with stability.""It's easy to add and remove things in MongoDB. You can alter the tables. MongoDB is faster at reading, slower at writings.""We can define security rules at the database level or the cluster level to grant or deny access to particular users.""The community is great if you have problem.""MongoDB is extremely developer-friendly because when you are starting, there is very little time needed upfront in terms of planning.""I find the integration with other tools very easy.""The most valuable feature is the geometric information done with GeoJSON."

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Cons
"There should be more pipelines available because I think that if MemSQL can connect to other services, that would be great."

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"More stable indexes would be helpful in a future release. That's been an issue for some time. I don't know if it's been fixed now but we transitioned to it because we needed a search index to be able to search for things and if that goes or starts disappearing, we have to move away from that solution. I don't know if they fixed it, last time I had this issue was three years ago so they might have solved it.""We find it difficult to incorporate MongoDB in some projects.""The transaction could use improvement. From MySQL, for example, you cannot create a transaction if you are reading and writing a document at the same time.""Data encryption is possible using third-party tools but they should have their own encryption capability built-in to this solution.""You need integration with other tools to run the query in MongoDB.""MongoDB should not be used for reporting, analytics, or number-crunching tasks.""Simplifying the aggregation framework would be an improvement.""There should be better integration with other databases."

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Pricing and Cost Advice
"I would advise users to try the free 128GB version."

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"We are using the Community Edition of MongoDB.""It is rather expensive.""MongoDB is an open-source solution.""This is an open-source solution.""We use the open-source version, which is available to use free of charge.""I don't know, but I have heard from people who procure it that it is much cheaper than Oracle."

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Answers from the Community
Morten Calisch
author avatarC Dove
Real User

I haven't used SQream personally. However, if you are only considering GPU based rdbms's please check the following
https://hackernoon.com/which-gpu-database-is-right-for-me-6ceef6a17505

author avatarYuval Klein
Real User

SQreamDB is a GPU DB. It is not suitable for real-time oltp of course.

Cassandra is best suited for OLTP database use cases, when you need a scalable database (instead of SQL server, Postgres)
SQream is a GPU database suited for OLAP purposes. It's the best suite for a very large data warehouse, very large queries needed mass parallel activity since GPU is great in massive parallel workload.

Also, SQream is quite cheap since we need only one server with a GPU card, the best GPU card the better since we will have more CPU activity. It's only for a very big data warehouse, not for small ones.

author avatarTristan Bergh
Real User

Your best DB for 40+ TB is Apache Spark, Drill and the Hadoop stack, in the cloud.

Use the public cloud provider's elastic store (S3, Azure BLOB, google drive) and then stand up Apache Spark on a cluster sized to run your queries within 20 minutes. Based on my experience (Azure BLOB store, Databricks, PySpark) you may need around 500 32GB nodes for reading 40 TB of data.

Costs can be contained by running your own clusters but Databricks manage clusters for you.

I would recommend optimizing your 40TB data store into the Databricks delta format after an initial parse.

Questions from the Community
Top Answer: SQreamDB is a GPU DB. It is not suitable for real-time oltp of course. Cassandra is best suited for OLTP database use cases, when you need a scalable database (instead of SQL server, Postgres)… more »
Top Answer: MongoDB has a simple data-loading interface.
Top Answer: There should be better integration with other databases. The security should be improved.
Ranking
10th
Views
3,063
Comparisons
2,764
Reviews
1
Average Words per Review
1,087
Avg. Rating
10.0
1st
out of 16 in NoSQL Databases
Views
4,282
Comparisons
3,446
Reviews
13
Average Words per Review
599
Avg. Rating
7.9
Popular Comparisons
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MemSQL
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MongoDB
Overview

MemSQL is The No Limits Database™, powering modern applications and analytical systems with a cloud-native, massively scalable architecture for maximum ingest and query performance with the highest concurrency. MemSQL envisions a world where every business can make decisions in real time and every experience is optimized through data. Global enterprises use the MemSQL distributed database to easily ingest, process, analyze, and act on data in order to thrive in today’s insight-driven economy. MemSQL is optimized to run on any public cloud or on-premises with commodity hardware. To learn more, visit our Product page - https://msql.co/2xUDAqL. To use MemSQL, get started with a free trial - https://msql.co/2NZOAy9.

Headquartered in San Francisco, CA with offices in Seattle, WA and Portland OR, MemSQL has raised $110M from top investors including GV, Accel Partners, and Khosla Ventures, among others. MemSQL is trusted by customers including Uber, Akamai, Dell EMC, Samsung, Comcast, Kellogg, and more.

If you want to work at a company that celebrates diversity, innovation, leadership, and creativity every day, check out our openings on our Careers page - https://msql.co/2RoTZgn.

Open source database alternative to relational databases. It simplifies development and is extremely scalable.
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Sample Customers
Uber, Akamai, Dell EMC, Samsung, Comcast, KelloggFacebook, MetLife, City of Chicago, Expedia, eBay, Google
Top Industries
VISITORS READING REVIEWS
Computer Software Company32%
Comms Service Provider15%
Healthcare Company11%
Financial Services Firm10%
REVIEWERS
Financial Services Firm43%
Legal Firm14%
Energy/Utilities Company14%
Outsourcing Company14%
VISITORS READING REVIEWS
Computer Software Company25%
Comms Service Provider23%
Government6%
Energy/Utilities Company5%
Company Size
No Data Available
REVIEWERS
Small Business47%
Midsize Enterprise7%
Large Enterprise47%
Find out what your peers are saying about Microsoft, Oracle, SAP and others in Relational Databases. Updated: November 2020.
448,542 professionals have used our research since 2012.

MemSQL is ranked 10th in Relational Databases with 1 review while MongoDB is ranked 1st in NoSQL Databases with 13 reviews. MemSQL is rated 10.0, while MongoDB is rated 8.0. The top reviewer of MemSQL writes "MySQL Big Brother with built-in data pipeline, high concurrency, and blazing fast analytical queries". On the other hand, the top reviewer of MongoDB writes "Good security, highly-available when installed in a cluster, and no schema is needed to store data". MemSQL is most compared with CockroachDB, SQL Server, MySQL, SAP HANA and Oracle Database In-Memory, whereas MongoDB is most compared with InfluxDB, Scylla, Couchbase, Oracle NoSQL and Cloudera Distribution for Hadoop.

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