Kyvos Semantic Layer vs. Metabase

Kyvos Insights has made it simple for us to work with all our customer data. Now, we get a clear picture of how we’re doing across locations and products, all thanks to its performant tech. It's the only tool that allowed us to explore five years of data and get answers quickly.

Metabase is an easy tool to use if you are interested in collecting and aggregating data from multiple platforms. It is also easy to set up and start receiving the data results as a report. It is also easy to integrate with other tools that generate visual reports and take the necessary actions based on the data details.

Incentivized

• Easy to integrate with existing tech stack.
• It is easy to make big complex queries and minimal processing time.
• Good customer support and customization support from customer service team.

Incentivized

• We're currently using it to fetch reports for our products, such as daily sales, pipeline, visits, and attendance reports.
• Data representation from database directly.

Incentivized

• We’re able to add more dimensions and measures to our reports without performance issues. Another great advantage of Kyvos Insights was the capability to migrate our workloads to GCP.

Incentivized

• Report Types
• Updates
• Colour/Branding

Incentivized

Kyvos has made a big difference by enabling fast data processing and interactive reporting. It has significantly reduced the time needed to gain insights and made it easier to expand our data operations without slowing down, greatly improving our efficiency.

Its generally quite easy to use but some SQL is definitely important

Incentivized

to be honest we used all these platform along with Tableau. Its just each of them fulfil different use cases. Kyvos Insights is more about a platform to with with big data for investigations.

It does not stack up against Metabase, they complete each other.

Incentivized

• We’d love more customization options to adapt the platform to our specific needs. The initial setup was also a bit tricky, but once done, it runs smoothly.

• It is serving us whatever we're looking for, and we've recommended many organizations to implement it if they want better data analytics as it provides better functionality than we will build.
• As a negative it gets difficult to get control over data to be fetch initially.

Incentivized