Compare Cassandra vs. MongoDB

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Cassandra Logo
4,642 views|3,688 comparisons
MongoDB Logo
4,342 views|3,546 comparisons
Most Helpful Review
Use Cassandra? Share your opinion.
Find out what your peers are saying about Cassandra vs. MongoDB and other solutions. Updated: September 2020.
442,986 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
"The technical evaluation is very good."

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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
"Interface is not user friendly."

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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
Information Not Available
"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."

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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: This is an open-source solution.
Top Answer: There should be better integration with other databases. The security should be improved.
Ranking
3rd
out of 16 in NoSQL Databases
Views
4,642
Comparisons
3,688
Reviews
1
Average Words per Review
292
Avg. Rating
9.0
1st
out of 16 in NoSQL Databases
Views
4,342
Comparisons
3,546
Reviews
12
Average Words per Review
610
Avg. Rating
7.8
Popular Comparisons
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Apache
MongoDB
Overview
A scalable multi-master database with no single points of failure. Scalability & high availability without compromising performance.Open source database alternative to relational databases. It simplifies development and is extremely scalable.
Offer
Learn more about Cassandra
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Sample Customers
Apple, BazaarVoice, Best Buy, eBay, NetflixFacebook, MetLife, City of Chicago, Expedia, eBay, Google
Top Industries
VISITORS READING REVIEWS
Computer Software Company37%
Comms Service Provider20%
Media Company7%
Manufacturing Company6%
VISITORS READING REVIEWS
Computer Software Company28%
Comms Service Provider17%
Government7%
Energy/Utilities Company6%
Company Size
No Data Available
REVIEWERS
Small Business50%
Midsize Enterprise7%
Large Enterprise43%
Find out what your peers are saying about Cassandra vs. MongoDB and other solutions. Updated: September 2020.
442,986 professionals have used our research since 2012.
Cassandra is ranked 3rd in NoSQL Databases with 1 review while MongoDB is ranked 1st in NoSQL Databases with 12 reviews. Cassandra is rated 9.0, while MongoDB is rated 7.8. The top reviewer of Cassandra writes "Excellent for technical evaluation and managing very large amounts of data". 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". Cassandra is most compared with InfluxDB, Couchbase, Accumulo, Cloudera Distribution for Hadoop and Aerospike Database, whereas MongoDB is most compared with InfluxDB, Scylla, Couchbase, Oracle NoSQL and Neo4j.

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