We performed a comparison between Datadog and InfluxDB based on real PeerSpot user reviews.
Find out in this report how the two Network Monitoring Software solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."We can manage the entire system across the network and troubleshoot the pain points."
"The single dashboard is a valuable feature."
"The solution is sufficiently stable."
"Dashboards and their versatility are among the most valuable features."
"Most of the features in the way Datadog does monitoring are commendable and that is the reason we choose it. We did some comparisons before picking Datadog. Datadog was recommended based on the features provided."
"The dashboards are great."
"APM and tracing are super useful."
"The solution has offered increased visibility via logging APM, metrics, RUM, etc."
"The infrastructure monitoring capabilities are really valuable. You can just log on and see everything that is happening within an IT environment."
"It is great that creating an incident is possible from Slack while having all the relevant data in Datadog."
"The most valuable features are aggregating the data and integration with Graphana for monitoring."
"The most valuable feature of the solution is we can use InfluxDB to integrate with and plug into any other tools."
"InfluxDB's best feature is that it's a cloud offering. Other good features include its time-series DB, fast time-bulk queries, and window operations."
"InfluxDB is a database where you can insert data. However, it would be best if you had different components for alerting, data sending, and visualization. You need to install tools to collect data from servers. It must be installed on Windows or Linux servers. During installation, ensure that the configuration file is correct to prevent issues. Once data is collected, it can be sent to InfluxDB. For visualization, you can use open-source tools like Grafana."
"The most valuable features of InfluxDB are the documentation and performance, and the good plugins metrics in the ecosystem."
"In our case, it started with a necessity to fill the gap that we had in monitoring. We had very reactive monitoring without trend analysis and without some advanced features. We were able to implement them by using a time series database. We are able to have all the data from applications, logs, and systems, and we can use a simple query language to correlate all the data and make things happen, especially with monitoring. We could more proactively monitor our systems and our players' trends."
"The solution is very powerful."
"The user interface is well-designed and easy to use. It provides a clear overview of the data, making it simple to understand the information at hand."
"The technical support needs improvement."
"The Wi-Fi side needs improvement."
"More granular control over dashboard sharing. Timeboard sharing."
"Auto instrumentation on tracing has not been very easy to find in the documentation."
"Datadog has a lot of features kind of cramped into one dashboard. It's quite hard to get around what feature does exactly what. There was a steep learning curve, trying to navigate through menus."
"I would love to see more metrics or analytics in IoT devices."
"It would be great if usage metrics were automatically created and we could create custom metrics, instead we ended up building some of our own stuff to track and alert on our own usage."
"Its pricing model can be improved. Its settings should be improved for a better understanding of billing. They should also provide some alerts when there is an increase in the usage. For example, if there is 20% more increase from one week to another, the customer should get an alert."
"At times, it can be hard to generate metrics out of logs."
"This service could be less costly."
"InfluxDB cannot be used for high-cardinality data. It's also difficult and time-consuming to write queries, and there are some issues with bulk API."
"InfluxDB can improve by including new metrics on other technologies. They had some changes recently to pool data from endpoints but the functionality is not good enough in the industry."
"In terms of features that I would like to see or have, in the community version, some features are not available. I would like to have clustering and authentication in the community version."
"InfluxDB is generally stable, but we've encountered issues with the configuration file in our ticket stack. For instance, a mistake in one of the metrics out of a hundred KPIs can disrupt data collection for all KPIs. This happens because the agent stops working if there's an issue with any configuration part. To address this, it is essential to ensure that all configurations are part of the agent's EXE file when provided. This makes it easier to package the agent for server installation and ensures all KPIs are available from the server. Additionally, the agent cannot encrypt and decrypt passwords for authentication, which can be problematic when monitoring URLs or requiring authentication tokens. This requires additional scripting and can prolong service restart times."
"The error logging capability can be improved because the logs are not very informative."
"The solution doesn't have much of a user interface."
"I've tried both on-premises and cloud-based deployments, and each has its limitations."
"The solution's UI can be more user-friendly."
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Datadog is ranked 2nd in Network Monitoring Software with 137 reviews while InfluxDB is ranked 46th in Network Monitoring Software with 8 reviews. Datadog is rated 8.6, while InfluxDB is rated 7.6. The top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". On the other hand, the top reviewer of InfluxDB writes "A powerful, lightweight time series database with a simple query language and easy setup". Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and AppDynamics, whereas InfluxDB is most compared with MongoDB, Cassandra, Netdata, ScyllaDB and Zabbix. See our Datadog vs. InfluxDB report.
See our list of best Network Monitoring Software vendors and best IT Infrastructure Monitoring vendors.
We monitor all Network Monitoring Software 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.