Saeed AbediSenior Information Technology Manager at a financial services firm
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"The solution is very powerful."
"The most valuable features are aggregating the data and integration with Graphana for monitoring."
"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."
"The solution doesn't have much of a user interface."
"The error logging capability can be improved because the logs are not very informative."
"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."
"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."
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.
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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