Data Center Management Software

While NinjaOne was more expensive compared to other RMM solutions our team evaluated, the professionalism and value it provides absolutely justifies the cost. Review collected by and hosted on G2.com.

NinjaOne is indispensable in our IT environment for its robust remote monitoring and troubleshooting capabilities. It ensures all company devices consistently adhere to the latest software and OS updates, maintaining compliance seamlessly. Furthermore, it enables instant remote access, enabling our team to promptly address and resolve any user issues. This significantly enhances our operational efficiency and user satisfaction. Review collected by and hosted on G2.com.

the only thing is not having the ability to test the descriptions of the alerts in the final destination without an actual alert being triggered, or at least I havent found a way... The descriptions messages to the audience receiving the alert, are set up in a format, specially for KPI's, to see the final result for example in slack I need to trigger it to see it... I'll love to have the ability to just "trigger the alert as a test" to see how it looks like... maybe we already have that and I just don't know yet. I've heard the AI assistant its good for these cases but haven't give it a try yet... Review collected by and hosted on G2.com.

Raising alerts and activating teams to solve incidents or at least triage them... we have so many blind spots in our product and with Montecarlo I can set up different systems to detect possible performance downgrades that help our improvement. Review collected by and hosted on G2.com.

One downside is that troubleshooting can sometimes be difficult when a pipeline fails, as the error messages aren't always detailed enough and you may need to dig through multiple logs to find the root cause. The platform also has a lot of features, so it can take some time for new users to become comfortable with everything. While serverless is convenient, costs can increase if compute usage isn't monitored properly. I'd also like to see faster UI responsiveness in some areas, especially when navigating large job histories or catalogs. Review collected by and hosted on G2.com.

Databricks has helped me and my team simplify our data engineering workflow by providing a single platform for data ingestion, transformation, governance, and analytics. We use it to process data from Bronze to Silver and Gold layers, which has made our ETL pipelines more reliable and easier to manage. Features like serverless compute, Unity Catalog, and built-in monitoring have reduced operational effort, improved collaboration across teams, and helped us deliver data products faster. Review collected by and hosted on G2.com.

The cost has been on the higher side, it is definitely related to the huge volumes of data we have. Review collected by and hosted on G2.com.

Snowflake is solving the problem of fragmented data and inconsistent reporting by centralizing data from many sources into GitLab’s Enterprise Data Warehouse, which serves as a common source for KPIs, analytics, dashboards, and reporting.

For me, that means:

Faster access to trusted, governed data.

More consistent metric definitions and business logic.

Easier reconciliation across systems such as Salesforce and Zuora.

Less manual data extraction and file-based analysis.

Better support for self-service analytics through Tableau and AI-enabled data exploration.

Overall, Snowflake lets me spend less time assembling data and more time improving data quality, governance, and decision-making. Review collected by and hosted on G2.com.

I don't have any negative aspects to mention, as I have been extremely satisfied with their service. Review collected by and hosted on G2.com.

Data cleansing in terms of deceased and gone aways identification as well as acquiring movers addresses. It ensures our data is up to date and we do comply with data protection regulations. Review collected by and hosted on G2.com.

The cost is higher compared to Zoho and other marketing tools. Review collected by and hosted on G2.com.

This tool is assisting the marketing team by automating processes, making it easier to handle email marketing and also manage ad campaigns. Review collected by and hosted on G2.com.

One aspect I find challenging about SAS Viya is its tendency to be resource-intensive, often demanding substantial CPU, memory, and storage to operate efficiently, particularly in larger environments. The process of installation and upgrading can also be quite complicated, as it typically involves coordinating multiple services and dependencies. Furthermore, troubleshooting can be a lengthy process, since it sometimes requires in-depth knowledge of both SAS components and the underlying infrastructure. I also think that some users might perceive the interface and integration with third-party tools as less intuitive when compared to more modern, lightweight analytics platforms. Review collected by and hosted on G2.com.

SAS Viya is solving the problem of managing, analyzing, and visualizing large volumes of data efficiently across different environments. It provides a unified platform for data integration, advanced analytics, and machine learning, which helps streamline workflows and reduce the complexity of moving between tools. By enabling collaboration between data scientists, analysts, and business users, SAS Viya improves productivity and decision-making. Its scalability and ability to run on cloud or on-premises infrastructure also allow organizations to handle growing data demands with flexibility and performance. 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.

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.

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.

ServiceNow IT Operations Management is powerful, but there's a learning curve, especially for new users unfamiliar with the ServiceNow ecosystem. The initial setup and discovery configuration can be complex, particularly in large environments. The platform offers extensive customization options, which can sometimes make administration and maintenance more challenging. Additionally, some dashboards and reports could be more intuitive, and performance can occasionally be impacted when working with large amounts of data. Despite these areas needing improvement, the overall capabilities of the platform outweigh these challenges. Review collected by and hosted on G2.com.

ServiceNow IT Operations Management enhances IT infrastructure visibility, automates asset discovery, correlates alerts to reduce fatigue, clarifies service dependencies, and speeds up troubleshooting, minimizing downtime and improving operational efficiency. Review collected by and hosted on G2.com.

Some issues require site visits which have nothing to do with RMM. Review collected by and hosted on G2.com.

A lab PC is three months behind on Windows updates and failing a compliance check. Patching pushes the missing updates after hours, confirms they installed, and clears the flag without a campus visit. A front-desk machine is frozen mid-enrollment. Remote control puts you on the session in about a minute, you kill the stuck process, and the adviser stays on the phone with the applicant. Disk space on a shared workstation hits the alert threshold before the user notices. You clear the cache and the temp files from the console. The ticket never gets written. A laptop drops off the network overnight. The agent shows it last checked in, whether it is online now, and which switch port it was on. You know if it is asleep, unplugged, or actually down before anyone drives over. Review collected by and hosted on G2.com.

One area for improvement in ManageEngine Endpoint Central is that some advanced configurations and troubleshooting tasks can be complex and require additional technical knowledge. Patch deployment and software distribution may occasionally need manual intervention when issues occur, and the dashboard can feel overwhelming when managing a large number of endpoints. Improving the troubleshooting guidance, simplifying advanced settings, and providing clearer error messages would make the overall experience even better. Review collected by and hosted on G2.com.

ManageEngine Endpoint Central helps solve the challenges of managing multiple endpoints, keeping systems updated, and maintaining security across the IT environment. It simplifies patch management, software deployment, remote troubleshooting, and endpoint monitoring through a centralized console. This reduces manual effort, saves time, and helps identify and remediate security vulnerabilities more efficiently. It also improves visibility into endpoint status and helps maintain consistent security policies across devices, making IT operations more efficient and secure. Review collected by and hosted on G2.com.

I think HubSpot Data Hub could improve by allowing more custom calculations in the datasets and report builder. Right now, there are limits, like only being able to use 25 custom columns in datasets and just five custom fields in the report builder. Having an unlimited or higher number of custom calculations would be a big plus. Also, adding more functions for better calculations would really help enhance the data hub experience. Review collected by and hosted on G2.com.

HubSpot Data Hub keeps reporting in one place, reducing external Excel use. It allows quick access to data for creating dashboards and reports effectively, with minimal experience needed. Our team benefits from customized datasets and data calculations suited to our niche industry. 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.

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.

Not really something to dislike but as a potential improvement point if this is relevant, probably adding an MDM capability would prove beneficial Review collected by and hosted on G2.com.

Definitely accelerates data deduplication, enrichment and cleansing prior to an implementation from legacy system(s) - and helps monotiring and managing data quality in business as usual thus setting-up the frame for AI au automation to deliver expected outcomes Review collected by and hosted on G2.com.

If I had to nitpick, the initial UI for the truly deep engineering stuff can be a little much for new users, but once you get past the initial setup (which is covered well by Customer Support and training), the daily use is very intuitive. The Interactive Sessions feature is also amazing for cutting down on Spark job startup time, making my day-to-day work way more efficient. Review collected by and hosted on G2.com.

ILUM solves a few major headaches that were common in the big data world. The main problem is fragmentation—trying to stitch together separate, expensive data lakes and data warehouses, which leads to messy data silos, inconsistent results, and a lot of unnecessary work. Older proprietary systems like Cloudera or Databricks are costly and lock you in. ILUM gets rid of those problems. It's an open-source based Data Lakehouse platform that unifies everything.

For me as a user, this translates to tangible benefits. First, it is much faster. The interactive Spark sessions eliminate those 20-40 second job start times, and processing can be up to twice as fast overall. This means I'm not waiting on the infrastructure; I'm actually doing my job. Second, it's cheaper and more efficient. The platform is zero-license, Kubernetes-native, and runs anywhere (cloud, on-prem, hybrid), which drastically cuts infrastructure costs—we talk about 60% savings for clients. That budget can go to actual development, not just licensing fees. Third, it provides clarity and governance with features like automated Data Lineage and a central Data Catalog, so I can trust the data's quality and know exactly where it's been. In short, it lets me focus on the challenging and valuable work of data science and analytics instead of wrestling with complex, slow, and expensive tools. Review collected by and hosted on G2.com.

Simple operations such as deduplication are easy to perform, but implementing sophisticated hierarchy rules or customized lead routing may seem tricky.

The return on investment is quite apparent for larger organizations, but for small teams, the pricing might seem too high relative to their Salesforce data.

The AI-driven enrichment works well, but sometimes it normalizes data inappropriately, such as consolidating similar business names which should not be combined. Review collected by and hosted on G2.com.

Traction Complete eliminated duplicate chaos, made account hierarchies clear, streamlined lead routing, and enhanced data. Its advantages include neat dashboards, efficient workflow, and even revenue generation. This is the type of application that turns Salesforce(Integration) from being a hindrance to becoming an engine for growth. Review collected by and hosted on G2.com.

NONE Review collected by and hosted on G2.com.

Mozart Data helps us with cloud data by connecting smoothly with over 300 data sources and routing to a unified Snowflake backend. It offers fast setup, good storage, and easy accessibility, making everything smooth. Review collected by and hosted on G2.com.