Data Center Management Software

Honestly, nothing at this time. We have really appreciated their solution. They are always so responsive and quick to answer questions when I need them. Review collected by and hosted on G2.com.

We didn't have visability into our computers, especially when it came to who was installing what where, and if anything malicious was potentially happening. With NinjaOne, that's just one of their amazing features that I love and it really benefits us with more visibility. And to have all that data at your fingertips is great. Review collected by and hosted on G2.com.

The biggest pain point for us is pricing and credit consumption. Some features, like certain monitors and the PR/CI integrations, burn credits in ways that aren’t always clear up front. Because of that, we’ve had to regularly review what’s actually being used and disable integrations we rarely rely on just to keep costs in check. Clearer, more predictable visibility into per-feature costs would help a lot.

The automated monitors can also be noisy at first. During the initial learning period, we saw a fair number of false-positive alerts, which meant manual tuning and some effort to set sensible thresholds before the signal-to-noise ratio improved.

On the UI/UX side, moving between lineage, monitors, and incident details can take a lot of clicks. The interface also has a bit of a learning curve for newer team members, especially those who don’t use it every day.

Finally, custom/SQL-based monitors are powerful, but they’re not as intuitive to set up as the out-of-the-box options. Getting solid coverage for sources outside the main warehouse, versus our core Snowflake/dbt tables, also takes more effort. None of these are dealbreakers, but they’re the areas where we’d most like to see improvement. Review collected by and hosted on G2.com.

Monte Carlo has helped us solve a real data quality and observability gap. Before adopting it, we had limited visibility into the health of our Snowflake and dbt pipelines. Problems like stale tables, failed loads, volume drops, or unexpected schema changes could easily slip by and only surface when a stakeholder noticed a wrong number in a dashboard. As a result, we were stuck in reactive firefighting mode and constantly answering variations of, “Is this data correct?”

With Monte Carlo’s automated monitoring, we now catch many of these issues proactively, often before they reach downstream consumers. The upside is twofold: we spend far less time building and maintaining custom data quality checks, and we resolve incidents much faster. The end-to-end lineage is a big part of that, because it lets us trace a problem from a downstream table back to the source in minutes rather than hours.

It’s also addressed a broader data trust issue. With monitoring and lineage in place, plus alerts flowing into Slack, stakeholders have noticeably more confidence in the data, and our team gets far fewer ad-hoc “can you verify this?” requests. Overall, it’s shifted us from reactive to proactive and freed up engineering time for higher-value work. Review collected by and hosted on G2.com.

The biggest pain point is definitely when I have an urgent report due or a quick request from a manager first thing in the morning, and the cluster takes 5 to 10 minutes to spin up. Sitting there staring at the "Starting Cluster" status when you are on a tight deadline is deeply frustrating. Also, the pricing and DBU (Databricks Unit) model can be confusing to wrap your head around, and costs quickly spiral if you forget to set up auto-termination properly. I also occasionally run into version conflicts when installing custom Python libraries on specific runtimes, which can eat up half an hour just troubleshooting environment errors. Review collected by and hosted on G2.com.

Before using Databricks, our workflow was completely fragmented, with data engineering pipelines running in one place and our data models sitting on local machines, causing massive data redundancy. Switching to the Lakehouse architecture completely centralized everything and streamlined our daily routines. It has removed the traditional wall between data engineers and data analyst also data science, allowing us to collaborate seamlessly on a single platform. My honest assessment is that while it is expensive and the boot times are annoying, it is an incredibly robust platform that is hard to beat for heavy data workloads and serious data science. Review collected by and hosted on G2.com.

What I dislike most about Snowflake is that costs can sometimes be difficult to predict, especially when compute resources are scaled up or used inefficiently. While the platform offers strong performance and flexibility, organizations need to monitor usage carefully to avoid unexpected expenses. New users may also face a learning curve when managing warehouses, permissions, and optimization settings. Overall, the benefits are significant, but cost management requires ongoing attention and planning. Review collected by and hosted on G2.com.

What I like most about Snowflake is that it helps solve challenges related to managing and analyzing large volumes of data. By providing a scalable and centralized platform, it reduces infrastructure complexity, improves query performance, and enables faster access to insights. This benefits me by making data analysis more efficient, supporting better decision-making, and allowing teams to collaborate more effectively across the organization. Review collected by and hosted on G2.com.

one area where Atera could improve is reporting. The reports are helpful, but they are not as automated or flexible as I would like. It would be great to have easier scheduled reports and more customization for clients or internal reviews.

Also, ROBIN AI is a strong feature, but it would be better if smaller teams could buy it too. If it is only available starting at 100 users, that makes it harder for small MSPs or IT departments to use it. Review collected by and hosted on G2.com.

Atera is helping us centralize our IT support and device management in one platform. It solves the problem of having to use different tools for monitoring, remote access, updates, and ticket follow-up.

The main benefit is that our technicians can work faster, have better visibility of the devices, and respond to issues before they become bigger problems. It also helps us save time by automating repetitive tasks and improving the overall support experience for the end user. Review collected by and hosted on G2.com.

Sometimes an Endpoint Central update can unexpectedly break certain features, such as remote control. This has happened before where the issue turned out to be related to the agent, and the recommended fix was to reinstall the agent on the client machine.

The challenge is that many of our clients are offsite, and we rely on Endpoint Central specifically for remote support. So when the remote control feature is impacted and the fix requires reinstalling the agent locally, it creates a difficult situation. It would be helpful if agent repair or recovery options were more reliable and easier to perform remotely. Review collected by and hosted on G2.com.

ManageEngine Endpoint Central helps us with auto patching and remote control, which are very useful for managing endpoints and supporting users remotely.

However, for software deployment, I do not feel it can fully replace PDQ Deploy yet. The experience has been inconsistent for us. For example, earlier today I tried to install Adobe Reader on a PC through the self-service portal, but the installation failed. This has been an on-and-off issue for a long time.

Overall, Endpoint Central is beneficial for patching and remote support, but I would like to see software deployment become more reliable and consistent. Review collected by and hosted on G2.com.

Continuous email chains and unresponsive customers around ITOM. ServiceNow ITOM is often criticized for its astronomical licensing costs and the extreme complexity of implementation, which typically requires highly specialized (and expensive) expertise to deploy and maintain. Organizations also frequently struggle with heavy technical debt when biannual platform upgrades break custom discovery patterns, along with CMDB data bloat and noticeable system latency if the environment isn’t meticulously governed. Review collected by and hosted on G2.com.

ServiceNow ITOM helps turn chaotic, multi-cloud infrastructure into a more proactive digital operation for global media organisations such as News Corp and Dow Jones. By addressing infrastructure blindness and reducing alert fatigue with AIOps-driven root-cause analysis, the platform helps protect digital subscription and advertising revenue for high-profile brands like The Wall Street Journal by preventing critical downtime. It also brings multi-cloud sprawl under control across their large global cloud footprints, consolidating international IT workflows into a single, automated system of record. Review collected by and hosted on G2.com.

It’s mainly familiar with BigQuery, since its native environment is Google Cloud. Sometimes queries run slowly, especially when working with complex tables. By default, we can only see the first 50 rows, and it really should show more. Also, when we copy the output, we’re only able to copy some of the records instead of the full result set. We can append records, but we can’t update or delete them. Review collected by and hosted on G2.com.

I use it for my ETL testing, since we ingest data from Mongo into BQ, and then the main fact tables in the analytical layers are used in Databricks. It benefits me because it runs in the cloud and doesn’t require any hardware space on my side. Overall, the queries work well for my testing needs. Review collected by and hosted on G2.com.

Nothing much to dislike, just a minor feedback to let us have enough credits with our test accounts to enable POC & testing. Review collected by and hosted on G2.com.

Cleansed address data to have effective delivery and fulfill customer orders. Also, address auto complete with post code in UK regions helps populate cleansed and complete address, helping save customers save time with checkout. Review collected by and hosted on G2.com.

It is good. Review collected by and hosted on G2.com.

DQLabs simplifies data quality management with its easy-to-use platform, advanced capabilities, and rich features like real-time anomaly detection and seamless integration with various applications, making data navigation and analysis more efficient. Review collected by and hosted on G2.com.

It’s fast and quickly provides a mail address. Review collected by and hosted on G2.com.

It helps my sales team identify fake people and get the correct ID. Review collected by and hosted on G2.com.

One downside of SAS Viya is that it can have a steep learning curve for new users, especially those without a strong analytics background. Additionally, the cost can be relatively high compared to other tools, and some advanced features require extra configuration, which can slow down initial setup. Review collected by and hosted on G2.com.

SAS Viya is solving the challenge of handling large, complex datasets and turning them into actionable insights quickly. Before using it, we struggled with slow processing and fragmented tools, but now we can perform advanced analytics, forecasting, and reporting in one unified platform. This has improved our decision-making speed, reduced manual effort, and increased overall efficiency across teams. Review collected by and hosted on G2.com.

I understand it has less capabilities on the AI automation and integration parts as the tool takes a lot of time to process the information and it is a lot slow so we need to improve on that part.

Secondary concern is regrading the tool cost around the cost and the learning curve for high-level logic needs to be taught to every developers while using the solution Review collected by and hosted on G2.com.

Manual works is converted to automated workflows.

It integrate agents, and cyber security teams, and tools with speed and control. Review collected by and hosted on G2.com.

While OpsRamp is a powerful platform, one area that could be improved is the learning curve for new users. Because it offers a wide range of monitoring, automation, and IT operations capabilities, it can take some time for teams to fully understand and utilize all its features effectively. Additionally, initial configuration and customization may require careful planning, especially in complex enterprise environments. However, these challenges are common with comprehensive enterprise observability and IT operations platforms, and the benefits generally outweigh the initial effort required. Review collected by and hosted on G2.com.

For me, the biggest benefit is improved visibility and faster issue resolution. By consolidating monitoring data into a single pane of glass, OpsRamp helps identify problems proactively before they impact users. Its automation capabilities also reduce repetitive operational tasks, allowing teams to focus on higher-value work. This leads to improved system reliability, reduced downtime, and more efficient IT operations. As someone working in observability and infrastructure monitoring, having a unified latform helps simplify troubleshooting enhances overall operational efficiency. Review collected by and hosted on G2.com.

Very unreliable. Easy to get the UI to break doing pretty basic flows. Server often errors either silently or with cryptic errors, reflecting poorly on our product as it leaves us to take the blame Flatfile's instability. Their status page professes a very high uptime rate, but anecdotally after interacting with their API on a near-daily basis for the last several months, I would take their uptime claims with a grain of salt; what's the use of the server being online if it responds with 500s anyway on what should be a valid network request? Lacks adequate customizability. Review collected by and hosted on G2.com.

It's supposed to solve the problem of ingesting CSVs but is more of a headache than it's worth. I would much rather write the functionality myself. There isn't anything Flatfile does that really makes them unique or gives them a moat IMO. Review collected by and hosted on G2.com.

The record limit is one of the constraint that is always a concern to keep to our license subscription. Review collected by and hosted on G2.com.

It is helping by giving us a cleaner data by reducing duplicates, data consistency, verification and completeness of information. Review collected by and hosted on G2.com.

Red Hat Smart Management exhibits strong integration with Red Hat products, which may pose challenges if considering a transition to alternative vendors down the road. Additionally, apart from these overarching concerns, a number of users have expressed criticisms about specific aspects of Red Hat Smart Management:

1.Navigating and utilizing the reporting system can be somewhat challenging. 2.While capable, the performance monitoring features may not match the robustness found in some competing products.

3.The support for non-Red Hat systems is somewhat limited. Review collected by and hosted on G2.com.

Improved security: Red Hat Smart Management can help organizations to improve their security posture by providing a centralized view of all RHEL systems and by automating patch management.

Increased compliance: Red Hat Smart Management can help organizations to comply with industry regulations by providing compliance reporting capabilities.

Improved performance and reliability: Red Hat Smart Management can help organizations to improve the performance and reliability of their RHEL environments by providing performance monitoring and troubleshooting capabilities. Review collected by and hosted on G2.com.

The biggest challenge is that troubleshooting can become complex once routing logic scales across multiple assignment conditions and workflows. Small configuration changes sometimes require careful testing to avoid unintended downstream effects. There is also a noticeable learning curve for teams that are newer to RevOps governance and Salesforce operational management. Review collected by and hosted on G2.com.

Traction Complete helped improve routing consistency, reduce manual operational overhead, and create better visibility into account relationships inside Salesforce. Before implementing it, duplicate handling and lead assignment coordination required significantly more operational effort and manual intervention. With more structured automation and matching logic in place, lead management became more scalable and operationally predictable across teams. Review collected by and hosted on G2.com.

While Acho offers no-code transformation, some users might require more complex data manipulation. For these users, Acho could benefit from offering advanced scripting options or integration with external data science tools like Python libraries. Review collected by and hosted on G2.com.

If you find yourself spending a lot of time moving data between spreadsheets or struggling to get your data into a usable format, Acho can be a lifesaver. It simplifies data wrangling and allows you to focus on getting the most out of your information. Acho empowers even non-technical users to access and manipulate data. This makes it possible for them to generate reports and answer basic data questions without relying on IT support. Review collected by and hosted on G2.com.

that we only just started using it, haha! Review collected by and hosted on G2.com.

Helping us move away from cold leads towards HOT leads Review collected by and hosted on G2.com.