Redash vs. Secuvy AI

Redash is well suited to situations where metrics are tracked on daily, weekly and monthly basis. Alerts can be set to emails which helps stakeholders to monitor performance on a frequent basis. It is less appropriate for cases where only dashboards are needed. Redash comes into picture where individuals can query and check data at the same time.

Great tool for data support and with the governance of personal data as it facilitates the discovery of personal data and its classification and mainly and the use of multiple databases by your AI to create a connection between the process of trading information with many ease and quality assurance of these data.

Incentivized

• Great Query Editor with Autocomplete feature
• Very easy to setup and quickly connect to variety of data sources
• Quick Dashboards with Simple UI which can be easily shareable

Incentivized

• Connect the user to various data sources such as cloud services.
• A data tool must use geolocation capabilities to facilitate location-based analysis.
• Collaboration present in data discovery tools.

Incentivized

• You need to have a good command over SQL to use Redash but if there could be some way where people can just pull data and do slice dice.
• It would be nice to have an excel kind of filters when all data is fetched.
• Some things like easy to customise the column names.

Incentivized

• AI needs to be improved to avoid manual reclassification.
• Non-intuitive interface.
• Lots of security details that make connecting to a more complex data source.

Incentivized

I was not a part of the decision-making team who decided to go with Redash.

Incentivized

The fact of artificial intelligence was preponderant for the choice because we need to analyze the question of quality quickly and objectively.

Incentivized

• Cost effective
• One tool for multiple purpose
• Easy access provision

• Fast compliance.
• Power data discovery.
• Collaboration team.

Incentivized