Compare InfluxDB vs. MongoDB

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InfluxDB Logo
2,356 views|1,926 comparisons
MongoDB Logo
4,174 views|3,358 comparisons
Most Helpful Review
Find out what your peers are saying about InfluxDB vs. MongoDB and other solutions. Updated: January 2021.
464,857 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 solution is very powerful.""The most valuable features are aggregating the data and integration with Graphana for monitoring."

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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
"The solution doesn't have much of a user interface.""The error logging capability can be improved because the logs are not very informative."

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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
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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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Questions from the Community
Top Answer: The solution is very powerful.
Top Answer: The solution doesn't have much of a user interface. The integration of Chronograf and Capacitor is not so good. They could work to make it better.
Top Answer: I primarily use the solution for database storage.
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.
Ranking
5th
out of 16 in NoSQL Databases
Views
2,356
Comparisons
1,926
Reviews
2
Average Words per Review
392
Rating
8.5
1st
out of 16 in NoSQL Databases
Views
4,174
Comparisons
3,358
Reviews
16
Average Words per Review
549
Rating
8.1
Popular Comparisons
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Overview

InfluxData delivers a modern open source platform built from the ground up for metrics and events (time-sensitive data). Build monitoring, analytics, and IoT applications faster, easier, and to scale.

This technically is know as time-series data. With InfluxData you can build monitoring, analytics, and IoT applications faster, easier, and to scale. Today, there are different general purpose ways to handle time-based data. But they slow you down with dependencies and complexities or fail to scale. InfluxData is the only purpose-built complete platform for any time-based data — from humans, sensors, or machines — seamlessly collecting, storing, visualizing, and turning insight into action. With both fast deployment and fast performance, InfluxData delivers real value in real time.

Open source database alternative to relational databases. It simplifies development and is extremely scalable.
Offer
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Sample Customers
ebay, AXA, Mozilla, DiDi, LeTV, Siminars, Cognito, ProcessOut, Recommend, CATS, Smarsh, Row 44, Clustree, Bleemeo
Facebook, MetLife, City of Chicago, Expedia, eBay, Google
Top Industries
VISITORS READING REVIEWS
Comms Service Provider35%
Computer Software Company19%
Manufacturing Company13%
Energy/Utilities Company6%
REVIEWERS
Financial Services Firm33%
Legal Firm11%
Energy/Utilities Company11%
Outsourcing Company11%
VISITORS READING REVIEWS
Comms Service Provider29%
Computer Software Company22%
Financial Services Firm6%
Energy/Utilities Company6%
Company Size
No Data Available
REVIEWERS
Small Business33%
Midsize Enterprise14%
Large Enterprise52%
Find out what your peers are saying about InfluxDB vs. MongoDB and other solutions. Updated: January 2021.
464,857 professionals have used our research since 2012.

InfluxDB is ranked 5th in NoSQL Databases with 2 reviews while MongoDB is ranked 1st in NoSQL Databases with 17 reviews. InfluxDB is rated 8.6, while MongoDB is rated 8.0. The top reviewer of InfluxDB writes "Good log aggregation features and integration with Grafana". 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". InfluxDB is most compared with Cassandra, Cloudera Distribution for Hadoop, Apache HBase, Scylla and Oracle NoSQL, whereas MongoDB is most compared with Scylla, Couchbase, Oracle NoSQL, Cloudera Distribution for Hadoop and Neo4j. See our InfluxDB vs. MongoDB report.

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We monitor all NoSQL Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.