Sumo Logic Reviews & Product Details

There has been lots of improvements since I wrote this review,

UI changes - its still optional like you can have a experience with new UI, but I still prefer old UI though.

AI Query - Like there is a bit learning curve to learn about how to query, now we can use a query agent to translate natural-language questions into search query. Review collected by and hosted on G2.com.

There are bunch of ways you can save money like Frex Pricing or Assigning data to infrequent/frequent tires,. etc, based on your use cases. But its still bit pricey. Review collected by and hosted on G2.com.

One of Sumo’s strongest suits is its ability to ingest and normalize data from almost any source—AWS, Azure, GCP, or on-prem—into a single “pane of glass.” The query language is incredibly robust, and I use it every day for debugging. Review collected by and hosted on G2.com.

If you aren’t familiar with their specific syntax, it can take some time to become proficient. I’d suggest improving the “out-of-the-box” query builders to make it easier to get started. Also, when running complex queries over large time ranges (for example, 7+ days), the UI can sometimes feel sluggish or even time out. Review collected by and hosted on G2.com.

Honestly, what I like best about Sumo Logic is how much time it saves when something goes wrong at 2 AM. Instead of digging through multiple tools trying to piece together what happened, everything: logs, metrics, traces, is right there in one place. Review collected by and hosted on G2.com.

Sometimes the dashboards can feel a little slow to load when you're dealing with really large datasets or complex queries. Review collected by and hosted on G2.com.

Sumo Logic has been very helpful for collecting and retaining logs that we use as audit evidence. It makes it straightforward to centralize logs from multiple systems and then quickly search across them when we need to demonstrate activity for compliance or security reviews. The search functionality is both powerful and flexible, which is especially useful when we’re trying to pinpoint specific events across large volumes of logs. I also appreciate that it integrates well with many cloud services, making it easier to bring everything together in one place. Review collected by and hosted on G2.com.

The learning curve for building queries and dashboards can feel a bit steep, especially for new users who aren’t familiar with the query language. Some workflows also take a few extra steps compared to other tools, and troubleshooting ingestion issues can sometimes be time-consuming. Review collected by and hosted on G2.com.

Sumo is our first line of defense and insight. The best time is its deep error logging reporting mechanism with real time traces. It has proven to be a worthy alerting tool helping in detecting in issue before users escalate. The error logs gives meaningful insights in bug reporting. Review collected by and hosted on G2.com.

The UX feels clunky to me, also for a beginner can be difficult to get hold of things quickly. The queries differs from standard SQL hence requiring little extra efforts. Review collected by and hosted on G2.com.

I have started to enjoy the new UI. After many years of using the old and stacking the tabs, I have come around to the new way. A course that I did the other day also took my parse skills to the next level. Review collected by and hosted on G2.com.

Id like them to take their AI tool to the next level. Currently I ask it some questions and its less adaptable than other inbuilt AIs. Review collected by and hosted on G2.com.

What stands out to me is Sumo Logic’s real-time analytics and ease of deployment. The agent-based and API-driven ingestion makes onboarding fast, and the query language is powerful yet intuitive. The platform’s machine learning capabilities for anomaly detection are also valuable for proactive threat detection and operational visibility. Review collected by and hosted on G2.com.

While the query language is powerful, there can be a learning curve for teams coming from tools like Splunk or Elastic. Advanced queries and dashboard optimization sometimes require deeper platform familiarity. Review collected by and hosted on G2.com.

- Runtime calculated fields are incredible. Unlike Datadog (where calculated fields must be defined at ingestion time), Sumo Logic lets you define them on the fly. This is a massive productivity boost when you’re iterating on queries or exploring new log patterns.

- Outstanding value. Hosting my entire company’s logs cost roughly $100/month, which is shockingly affordable compared to Datadog or similar platforms.

- Easy integration with Heroku. The setup was quick and straightforward—no complex pipelines or custom agents required.

- Powerful search and flexibility. Once you get comfortable with its syntax, the query language is expressive and great for digging deep into logs. Review collected by and hosted on G2.com.

- Clunky UI. The interface feels dated and can be unintuitive to navigate, especially compared to modern tools like Datadog or Grafana Cloud.

- Alerting delays. Alerts tend to fire a bit slower than other platforms. Datadog, for example, seems to detect and trigger incidents faster in my experience.

- Limited ecosystem integration. For larger organizations, the lack of tight integration with APM and error-tracking tools can create friction—you end up context-switching across multiple dashboards to investigate an issue. Review collected by and hosted on G2.com.

What I like most is its ability to aggregate logs in real time, along with how powerful its query language is. It saves me a lot of preprocessing time and makes it easier to get to the insights I need without extra setup. Review collected by and hosted on G2.com.

The biggest problem is that you’re constantly worried about what you consume. It’s a constant source of stress having to monitor your data traffic so you don’t lose control of your budget. Review collected by and hosted on G2.com.

What excites me most, honestly, is the LogReduce feature. It’s helped me cut through the noise across thousands of events, which feels essential when I’m trying to make decisions grounded in real data instead of assumptions. Review collected by and hosted on G2.com.

The downside is that the interface has a steep learning curve. It’s also important to be precise with the filters; otherwise, the budget can skyrocket. Review collected by and hosted on G2.com.