- 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.

I love how Sumo Logic seamlessly brings together powerful analytics with an incredibly user-friendly experience. The platform’s real-time search and visualization capabilities stand out for their ability to update dashboards instantly and alert tickets with minimal delays, even when dealing with massive volumes. I appreciate the optimized query language, which offers the flexibility of advanced analytics at a field level while still being approachable enough for new team members to pick up quickly. Another standout feature is the platform’s reliability and scalability; its performance remains consistent whether we’re ingesting a few gigabytes or terabytes of data. Additionally, the built-in integration with cloud services like AWS, Kubernetes, and security tools saves a huge amount of setup time. Overall, Sumo Logic feels like a twofold multiplier for both operational and security teams, enhancing efficiency and reducing the manual burden significantly. Review collected by and hosted on G2.com.

While Sumo Logic is a robust platform, there are a few areas needing improvement. During peak ingestion periods, the dashboard and search functions can slow down, especially when handling very large datasets or complex queries. Although the query language is powerful, it can initially seem challenging, and the learning curve for deep dive analysis is steeper than expected for new users. Additionally, managing ingestion volume and associated costs require careful tuning to prevent unexpected log spikes. More proactive recommendations or automatic optimization features could help maintain predictability. Furthermore, while integrations are generally effective, some newer cloud services demand more manual configuration than preferred. Review collected by and hosted on G2.com.

What I appreciate most is the powerful real-time data evaluation. I rely on the machine learning features for anomaly detection, which I find invaluable. Rather than manually searching for error patterns or unusual traffic spikes, these tools enable us to validate CI/CD deployments in production with confidence, knowing that any regression will be detected immediately. Review collected by and hosted on G2.com.

One of the downsides is that managing collectors in dynamic environments such as Kubernetes demands ongoing maintenance. Additionally, although the dashboards serve their monitoring purpose, they lack the flexibility and visual sophistication found in dedicated visualization tools. Review collected by and hosted on G2.com.

I appreciated the native integration of logs, metrics, and tracking within a single dashboard, as it means I no longer need to switch between multiple tools. I also found the predictive analytics feature helpful, since it saves me time. Review collected by and hosted on G2.com.

While the API itself is robust, I found the configuration of the control panel and alerts to be less intuitive and not as smooth as I would have liked. Additionally, I was not a fan of its syntax, which I found to be quite cumbersome. Review collected by and hosted on G2.com.

I highly appreciate Sumo Logic's architecture, especially for multicloud environments. Its built-in integrations with AWS and Google Cloud make it possible to centralize logs and metrics very efficiently. From a strategic perspective, the average consumption billing model provides essential cost predictability. Review collected by and hosted on G2.com.

The learning curve for this platform is quite steep. Gaining proficiency takes a substantial amount of time, particularly because the machine learning analytics features require a very detailed initial setup and careful tuning before they can provide meaningful results. Review collected by and hosted on G2.com.

Sumo Logic makes it very straightforward to search through large volumes of logs when investigating issues. I like how flexible the query language is — it lets me filter down exactly what I need, correlate events, and quickly pinpoint root causes across multiple services. The real-time dashboards and saved searches also save a lot of time for recurring monitoring tasks. Overall, it’s very responsive even with high data volumes. Review collected by and hosted on G2.com.

Sometimes the learning curve for writing more advanced queries or joins can be steep for new team members. Also, when queries are very complex, they can take a bit longer to execute. A bit more guidance or templates for common troubleshooting use cases would be helpful. Review collected by and hosted on G2.com.

It has the great ability to provide real time insights, and analytics for your metrics, cloud data and logs. Sumo Logic helps in providing flexible and scalable platform that simplifies monitoring, trouble shooting and security analytics. It has the great user interface which making it easier to navigate amount of data without overwhelmed. Review collected by and hosted on G2.com.

It is bit expensive if you are scaling and dealing with large volumes of data Review collected by and hosted on G2.com.

Enhanced Security Controls

May 29, 2025: Administrators can now set API access key lifetimes and rotation schedules—automating policy adherence and strengthening security.

Exciting New App Integrations & Cloud-to-Cloud Enhancements

June 11, 2025 updates include new integrations for:

Kaltura – Monitor content management metrics like user activity and event distribution.

Bitwarden – Track high-risk events such as vault exports and SSO deactivation.

Sysdig Secure – Gain real-time visibility into vulnerabilities in containerized environments.

Updates to Gigamon Application Metadata Intelligence feature comprehensive security-focused dashboards.

Snowflake (C2C) and Akamai (C2C) sources now import richer data for better analysis. Review collected by and hosted on G2.com.

Search Speed for Very Large Datasets

Although Sumo Logic performs well for most queries, extremely large or complex searches can still take noticeable time.

Implementing smarter indexing or AI-assisted query optimization could speed this up.

Alert Noise Reduction

Sumo Logic provides strong alerting, but in high-volume environments, alert fatigue can become a problem.

Enhanced anomaly detection and auto-suppression for known benign patterns would help reduce noise. Review collected by and hosted on G2.com.

I appreciate how it enables me to correlate events and organize them into Insights, which really helps me concentrate on more detailed analysis. Additionally, the multi-cloud visibility is outstanding, especially since we operate across multiple cloud environments. Review collected by and hosted on G2.com.

Up to now, I haven't been satisfied with how the rules can be customized, particularly when it comes to automatic detection. Review collected by and hosted on G2.com.

What I appreciate most about Sumo Logic is its Continuous Intelligence feature. It brings together vast amounts of diverse data and, with the help of AI, quickly transforms this information into actionable insights. This capability significantly speeds up the resolution of both security and operational issues. Review collected by and hosted on G2.com.

The licensing plan imposes strict limits on data retention, so storing logs and metrics for longer periods comes with extra costs. Review collected by and hosted on G2.com.