Altair SLC vs. Grafana

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Altair SLC
Score 9.2 out of 10
N/A
Altair SLC (formerly the WPS industrial analytics platform, acquired by Altair in late 2021) is designed for data science and heavyweight data processing with the languages of SAS and R. Best known for its SAS language compiler, the software includes advanced graphical user interfaces, robust, high-performance data processing and production-ready application frameworks.N/A
Grafana
Score 8.7 out of 10
N/A
Grafana is a data visualization tool developed by Grafana Labs in New York. It is available open source, managed (Grafana Cloud), or via an enterprise edition with enhanced features. Grafana has pluggable data source model and comes bundled with support for popular time series databases like Graphite. It also has built-in support for cloud monitoring vendors like Amazon Cloudwatch, Microsoft Azure and SQL databases like MySQL. Grafana can combine data from many places into a single dashboard.
$8
per month up to 1 active user
Pricing
Altair SLCGrafana
Editions & Modules
No answers on this topic
Grafana Cloud - Pro
$8
per month up to 1 active user
Grafana Cloud - Free
Free
10k metrics + 50GB logs + 50GB traces up to 3 active users
Grafana Cloud - Advanced
Volume Discounts
custom data usage custom active users
Grafana - Enterprise Stack
Custom Pricing
Offerings
Pricing Offerings
Altair SLCGrafana
Free Trial
YesYes
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalNo setup fee
Additional Details
More Pricing Information
Community Pulse
Altair SLCGrafana
Features
Altair SLCGrafana
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Altair SLC
8.6
Ratings
2% above category average
Grafana
8.0
Ratings
5% below category average
Customizable dashboards8.60 Ratings10.00 Ratings
Pixel Perfect reports00 Ratings6.00 Ratings
Report Formatting Templates00 Ratings8.00 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Altair SLC
8.6
Ratings
8% above category average
Grafana
6.8
Ratings
16% below category average
Drill-down analysis8.60 Ratings6.00 Ratings
Formatting capabilities8.60 Ratings8.00 Ratings
Integration with R or other statistical packages8.60 Ratings5.10 Ratings
Report sharing and collaboration00 Ratings8.00 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Altair SLC
8.8
Ratings
4% above category average
Grafana
8.4
Ratings
0% below category average
Publish to Web8.60 Ratings7.00 Ratings
Publish to PDF8.60 Ratings9.00 Ratings
Report Delivery Scheduling9.30 Ratings8.00 Ratings
Report Versioning00 Ratings9.00 Ratings
Delivery to Remote Servers00 Ratings9.00 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Altair SLC
9.0
Ratings
10% above category average
Grafana
7.7
Ratings
6% below category average
Pre-built visualization formats (heatmaps, scatter plots etc.)8.60 Ratings9.00 Ratings
Predictive Analytics9.30 Ratings7.00 Ratings
Location Analytics / Geographic Visualization00 Ratings9.00 Ratings
Pattern Recognition and Data Mining00 Ratings6.00 Ratings
Best Alternatives
Altair SLCGrafana
Small Businesses
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Score 10.0 out of 10
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Medium-sized Companies
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Score 10.0 out of 10
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Score 10.0 out of 10
Enterprises
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Score 7.6 out of 10
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User Ratings
Altair SLCGrafana
Likelihood to Recommend
9.2
(0 ratings)
9.0
(0 ratings)
Usability
-
(0 ratings)
10.0
(0 ratings)
User Testimonials
Altair SLCGrafana
Likelihood to Recommend
For now coders, I would emphasize them to use drag and drop functionality. Otherwise, WPS Analytics is a robust tool for app development and data visualization that offers multiple languages such as SAS, SQL, R, and Python.
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Just about any organization with more than one server and more than one cluster as it scales very well. Configuration of the application takes time and finesse to fine tune to where the balance of load time and getting data quickly meets. The plugins add load time but fine tuning for the application to meet demand needs nailed down at implementation
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Pros
  • Data preparation and advanced analytics help us to gain insights on company data.
  • Data sharing and distributing securely.
  • Visualization of data with WPS Analytics saves time when making business decisions.
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  • Alerting through many different medium as Slack, Email, Webhook etc
  • Beautiful and unlimited number of dashboards to view your metrics and tweak them as you please
  • Log aggregation and powerful Logql to filter and view your logs
  • Microservices monitoring
  • Large number of plugins and data sources to collect your metrics from almost anywhere
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Cons
  • SAS functionality has to lack.
  • There's no online guideline, making it hard to solve problems.
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  • Documentation needs to be more clarified since it can be confusing for beginners
  • Notification alert message templates need to be simplified
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Usability
No answers on this topic
Great usage in terms of monitoring of any application from backend to frontend and even any AWS resource via cloud watch and other connectors. Easy to use and configure personalised dash boarding and alerting features. Cost efficient and easy to setup and run, no mazor scaling challenges in terms of managing and maintaining the stack, easy to configure via Prometheus, influx and other connectors
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Alternatives Considered
To better understand the data I work with, I extensively use the data discovery and visualization tools available on my workstations, and I always go for the best. Unfortunately, some other tools does not offer any tutorials for the features, making it difficult and time-consuming to analyze data, mainly after it has been implemented. In addition to videos and articles, WPS Analytics provides comprehensive tutorials for each feature.
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Grafana is more flexible, readily adopts other tools frameworks instead of forcing you to use their agent, doesn't force you into Vendor lock-in, and embraces open source, self-hosted, and Enterprise. Similar companies would like you to use their specific tooling and don't offer nearly as much flexibility. The other thing I like about Grafana is their storage usage is much lower compared to similar tools and competitors
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Return on Investment
  • Reduction in operational costs since no data scientists are involved.
  • Time and effort have been reduced when analyzing data by using machine learning capabilities and natural language.
  • We have reduced time to value by bridging data processing to taking actions gap.
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  • It has kicked out some of our paid monitoring and visualization tools.
  • Now Monitoring, Visualization and Alerting is being done in a single platform.
  • It made monitoring and visualization very easy for us.
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ScreenShots