Data Center Management Software

Functionally, there isn't really anything to not like. My only knock would be cost. It is a bit expensive. Review collected by and hosted on G2.com.

The platform is allowing my department to consolidate day to day monitoring and inventory functions into an online platform (as opposed to using multiple individual spreadsheets). We now have clear and referenceable project/ticketing data to be used by technicians to solve problems quicker in the future. We've gained the ability to develop Key Performance Indicators (KPIs) which are critical in determining our IT efficiency. We also have used the platform to automate software management policies and scripting. We've simplified our problem reporting for our end users by linking our helpdesk organization email to the ticketing platform whereas now if an email is sent it automatically opens a ticket. We've also automated telecom outage reporting with connections to monitor our Wide Area Network (WAN). Review collected by and hosted on G2.com.

Not dislike, but couple of things that can be better:

1) Dashboards can be better in providing more actionable insights like most frequently failing tables or top 5 failing tables, under which schema, failing for what reason, frequently failing monitors, etc

2) It would be great if any updates made on alerts in Monte Carlo can flow into ServiceNow incidents

3) Additional integrations with files would be great, like if a file has not arrived, etc.

4) If we can have the model tuned for alerts much sooner than 2 weeks would be a welcome move.

5) Conducting any workshops on a sandbox environment for teams would help engage more teammates to understand and gets on with Monte Carlo Review collected by and hosted on G2.com.

Issues with data quality Review collected by and hosted on G2.com.

1. Cost management at scale: Real‑time ingestion, large AI workloads, and frequent ad‑hoc queries can quickly escalate costs unless you implement cost controls 

2. Learning curve for advanced features: Gemini, AI‑assisted data prep, and multi‑engine architectures have a steeper learning curve for data engineers and data scientists who must coordinate across tools.

3. Regional and tenancy complexity in large orgs: Multi‑region data residency, IAM scoping, and cross‑team access governance add setup and ongoing admin work, especially when integrating with Vertex AI and external engines. Review collected by and hosted on G2.com.

•⁠ ⁠Real‑time decision making at scale: Datastream plus streaming inserts into BigQuery shorten the data‑to‑insight cycle, enabling faster reactions to changing conditions and more timely AI feedback loops.

• Faster, more interactive analytics: BI Engine accelerates dashboards on large datasets, which is especially valuable for executive dashboards or consumer‑facing analytics where latency matters.

• Unified lifecycle from ingestion to insight to AI: The ecosystem (Datastream, Dataflow, BigQuery, Vertex AI) supports end‑to‑end workflows with less data movement and fewer handoffs between tools.

• Faster onboarding of new data sources: Ingest via Datastream, transform and feature‑engineer in BigQuery, and deploy models in Vertex AI with minimal data movement, shortening project cycles.

• More reliable dashboards and AI outcomes: Near real‑time data freshness, combined with built‑in data quality and lineage features, improves confidence in dashboards and model outputs. Review collected by and hosted on G2.com.

Atera does not assist with managing Cloud SaaS workloads or end-user licensing, which happens to be a key area of expertise for us as an MSP. However, Altera is integral in providing reports and compliance verification. Review collected by and hosted on G2.com.

Altera serves as a game enabler by automating many of the time-consuming, low-level support tasks. This allows us to dedicate more attention to higher-value customer services and project-based work. As a result, customer satisfaction increases, and customer support becomes a profitable aspect of our operations. Review collected by and hosted on G2.com.

I hate the way the search function works. I have never found the results from a month ago, and it is annoying. The UI will occasionally lag behind my typing, and if I am in a rush I feel it takes too long. Also it would make much more sense for the tables drawer to remain open when I click on the notebook and instead of closing automatically which is very time consuming as I need to reopen it again. I have had the support team tell me they cannot replicate an issue which is no help at all. Review collected by and hosted on G2.com.

We are able to process large amounts of data using Databricks without having to build out a large ops team to manage our clusters. We can scale up and down so we only pay for the time we are running jobs in the cloud. I use it to see sales numbers on a daily basis although I am not a data engineer. Databricks allows us to run pipelines with Airflow without all of the things crashing right away. Databricks reduces the amount of admin work involved in building and managing clusters. Review collected by and hosted on G2.com.

Cost management can be challenging. This is where the size of the warehouse comes into play (see What do you like best about Snowflake?). If you optimize the size of your warehouse small, costs will be smaller. Along these lines, it's best to understand credit usage early to make sure you're managing effectively. But overall, few negatives that can't be managed with some forethought. Review collected by and hosted on G2.com.

Our infrastructure is quite complex, but since Snowflake is fully managed, we no longer have to worry about provisioning or ongoing maintenance. This allows our data architecture team to focus on more valuable work, while our data analytics team benefits from uninterrupted access, as maintenance issues no longer cause downtime. Scalability is another key advantage—Snowflake efficiently processes large volumes of data without requiring our architecture team to oversee the infrastructure. This not only saves time but also enables quicker queries, even as our total data volume increases. Ultimately, this leads to faster project scaling, quicker insights, and allows us to devote less effort to managing our data strategy. 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.

I dislike the offline agent issues in ManageEngine Endpoint Central. Sometimes laptops appear to be offline, requiring a manual reboot to appear online. This is inconvenient and disrupts smooth operations, as the devices can't be managed remotely without intervention. Review collected by and hosted on G2.com.

I use ManageEngine Endpoint Central for streamlined OS deployment, easy remote access, and security features, enhancing our control over computers and inventory. Group policy configuration and software deployment are efficient, with an intuitive setup process. Review collected by and hosted on G2.com.

I don't really have anything negative to say. Everything has gone pretty much as expected. Review collected by and hosted on G2.com.

We use it for Deceased and Gone Away Removals along with Mover Updates. That's the most common thing we do with data cleanse.

They allow for suppression or for tagging so both options are available, we use tagging, which is more expensive but lets us inform our clients of the exact records which have been removed and updated. Review collected by and hosted on G2.com.

One of the things I dislike about Tines is that when working with run script events, I really miss having a more advanced integrated development environment (IDE). I understand that Tines is not intended to function as a traditional development tool, but having a more robust script editor would be very helpful when building more complex workflows. Features like autocomplete, more advanced syntax highlighting, or better error handling could significantly enhance the experience of writing and debugging code directly within the platform Review collected by and hosted on G2.com.

Tines helps us solve the challenge of integrating various tools and platforms into one seamless workflow. We use Tines to connect our messaging platform with other tools, allowing us to centralize communications and actions. For example, we can create comments in external tools directly from our messaging platform, ensuring that everything stays in one place. Additionally, we automate task creation for our teams, assigning tasks through Tines by simply filling out a form. One of the biggest benefits is the ability to generate PDF reports from our tools automatically, eliminating the need for manual report creation.

Tines has also enabled us to integrate and automate workflows between tools that don't have native integrations. This flexibility has significantly improved our efficiency across multiple areas of our work, allowing us to streamline processes, reduce manual tasks, and improve overall productivity. Review collected by and hosted on G2.com.

While SAS Viya is a powerful analytics platform, there are a few areas that could be improved:

High learning curve: Some advanced features can feel complex for new users, especially those without prior SAS experience.

Cost and licensing model: Viya can be relatively expensive for organizations with limited budgets.

Resource consumption: The platform can be heavy on infrastructure resources, which requires strong hardware or cloud capacity.

User interface complexity: Although it has improved over time, some parts of the UI can still feel less intuitive compared to newer analytics tools.

Integration challenges: Integrating Viya with certain external systems or custom pipelines sometimes requires additional effort. Review collected by and hosted on G2.com.

SAS Viya helps unify data processing, analytics, and machine learning in one platform. It solves the problem of having scattered tools by providing a single environment where teams can access data, run models, share results, and deploy analytics faster. This improves productivity, reduces manual work, and ensures consistent, reliable insights. Review collected by and hosted on G2.com.

The only downside is keeping an eye on duplicate records to stay within the record limit, otherwise an upgrade to the next subscription tier may be required. Review collected by and hosted on G2.com.

DataGroomr helps us maintain clean and reliable Salesforce data by identifying and merging duplicates that would otherwise slip through Salesforce’s native rules. This ensures our teams have accurate information to work with, improves efficiency, and prevents wasted time on duplicate records. It has become an essential part of our data quality and preparation process. 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.

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.

Downside is, Overall , in view of compliance sometimes PII uploaded to s3 can be identified with Macie. But when its an image or pdf containing photo copies of such personal sensitive information its hard to identify. It might be stored on the ec2 or s3. But figuring out it is complex. We do have OCR techniques in some services, which can trigger ec2 playbooks. Yes , it can be achievable with right problem solving technique and using the required services. Review collected by and hosted on G2.com.

Security Patches, Trigger based actions on infrastructure. Logging for IOC identifications. Many more. Review collected by and hosted on G2.com.

I’ve been using Demand Tools for over a year, but recently, as a Salesforce developer/Admin, I noticed a major gap when comparing it to Salesforce Inspector. In Salesforce Inspector, we can perform all DML operations directly, and it automatically detects the primary key while mapping data. It also displays detailed errors next to each individual record during operations, making troubleshooting easier. In contrast, Demand Tools still only shows an overall error summary, without record-level error details — a feature I believe it’s still missing. I dislike about this implementation missing in Demand Tools. Review collected by and hosted on G2.com.

Demand Tools makes bulk data work in Salesforce so much easier. I use it for updates, uploads, and cleaning up duplicates, and it’s saved me a ton of time compared to other tools like data loader. It’s faster, less error-prone, and takes a lot of the hassle out of managing large data sets. Review collected by and hosted on G2.com.

Slow Performance in dashboards while retreving data for larger Environments.

For Smaller Organisations, Pricing may be high compared to other Alternatives. Review collected by and hosted on G2.com.

Unified IT Infrastructure Management

Automated Incident Management

Cloud and Hybrid Monitoring

AIOPS 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.

The main challenge that I faced while working on TeamViewer is that the software starts lagging when there is weak internet connection so if you want to work on it regularly then always try to access it from a strong internet availability area and go for its premium plan because free plan is has very limited features Review collected by and hosted on G2.com.

We use TeamViewer to do the troubleshooting of IT based issues for our staffs working in remote area of our country as there are certain issues that needs to be check out by professionals and can be rectified with the help of screen sharing also providing demos to new clients with the help of TeamViewer is easy as it's user interface is simple. 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.