Kyvos Semantic Layer Reviews

Before Kyvos, every one of our OLAP cubes was like a separate silo of metrics. Kyvos has given us a single semantic truth for all our BI tools. Plus, it handles large-scale data smoothly without any performance issues.

We recently moved from SSAS to Kyvos and couldn’t be happier! We’ve been able to replace dozens of cubes with a single semantic layer that gives a consistent view of metrics and hierarchies.

The migration process from SSAS to Kyvos was quite smooth. Nothing to complain about really.

We wanted to accelerate query response time on Power BI, and Kyvos helped us achieve this without any disruption to our data analytics stack. It has a named connector for Power BI, which is really convenient.

Kyvos fit right into our existing analytics ecosystem - no architecture overhaul or expensive data transfers were needed. We can now analyze massive volumes of data much faster without worrying about integration hassles.

It’s been a great experience using Kyvos so far. No negatives yet.

Our analytics setup used to struggle with the increasing data volumes. We kept hitting scale limits that led to slow reporting and also prevented deeper analysis. Kyvos centralized and optimized our data which allowed us to run long‑term trend analysis without technical limits.

One of the biggest wins for us has been the ability to work with several years of customer data without performance slowdowns. Earlier, running period-over-period comparisons would either take forever or require us to simplify the analysis. With Kyvos, the same queries return results quickly, even when we’re slicing data in different ways.

It’s been a very smooth experience so far with Kyvos

With Kyvos, we’ve been able to map purchase data with each customer’s demographic profile more effectively. We can quickly analyze buying patterns over different time periods and understand customers’ needs better.

Kyvos helps connect the dots across the purchase journey and behavior of each customer. We can easily analyze customer data coming in from multiple channels and get up to date insights that help our teams deliver more relevant offers.

So far our experience with Kyvos has been relatively smooth. Been using the product for a few months without any major hiccups.

With Kyvos’ LangChain framework, it’s easy for our team to embed analytics into GenAI apps. Their built-in toolkit helps us seamlessly connect to all our data and build apps that deliver powerful insights.

Kyvos’ connectivity with LangChain frameworks makes it easy for our AI team to embed analytics into Gen AI applications. We use their built-in toolkit to connect to all our data and build AI apps that generate powerful insights.

No major concerns. We have been able to scale usage without performance or quality issues.

Our main challenge was dashboard responsiveness. Users often avoided drilling into data because it took too long and we ended up creating multiple summary reports as a workaround. With Kyvos, teams can explore data more freely without running into performance issues.

We started using Kyvos semantic layer mainly because our dashboards were getting slower as data volume increased. Some of our reports involve detailed drilldowns and performance would drop when users tried to explore beyond summary levels. After moving to Kyvos, those same dashboards feel noticeably faster and more interactive.

Another thing I have seen is that performance stays stable even during peak usage. Earlier, mornings were especially slow when multiple teams accessed reports together. That’s no longer an issue and users can interact with dashboards without waiting between clicks. We also didn’t have to change our BI layer, which made adoption easier for the business.

No real complaints at this point. It’s been working as expected for our use case.

We had multiple models supporting different teams, which meant changes had to be repeated and definitions sometimes drifted. But now they run on a single model instead of multiple cube definitions. This has simplified maintenance and reduced the need to rebuild logic across environments.

We were previously working with multiple OLAP cubes and managing them started getting complicated as data and requirements grew. One thing I like about Kyvos semantic layer is that we can model hierarchies and relationships in a more unified way instead of maintaining separate cubes for different use cases. It handles multi-level hierarchies and detailed dimensional analysis.

Nothing major from our experience so far. Once the model is in place, things are fairly straightforward to manage.

We have a lot of very large and complex data sets to look at, and typical BI tools limit our ability to look into the data quickly. We needed a solution to look for insight through conversational analytics that was scalable and that had a good relationship with our business context. Kyvos was by far the best option available after looking through the other choices made available to us. The results have been that our teams have been able to get much quicker insight with greater accuracy through asking questions in the way we would normally ask other people.

The way that Kyvos allows our teams to interact with data is incredible in how simple it is to just ask a question in plain and simple terms, without having to create a lot of detailed reports. The ability to ask follow-up questions while still in the same discussion without having to re-create the earlier context is huge and helps us hurry up how long we would spend creating these types of conversations.

I think it would be beneficial for more very specific examples of conversational analytics scenarios done as demonstrations to be available to view. Other than that, the process of using Kyvos has been very smooth.

As our organizational data runs into petabytes, we were finding it hard to train our AI agents on the complete data. This was creating blind spots and impacting contextual understanding and accuracy. Kyvos has helped us address this problem and we have been able to ship production-grade AI applications much faster.

We can plug our LLMs and AI agents seamlessly into Kyvos semantic layer (instead of connecting them to multiple raw data sources). It gives AI access to all our enterprise data with standardized business logic and definitions. This helps reduce hallucinations and improve accuracy of responses.

Slight learning curve for some of the advanced features, but once we got a hang of them things were fine.

Slow dashboard responses were a common complaint before Kyvos, specifically at peak times. This was limiting our ability to make time-critical decisions using BI. Now, it is easy to process large volumes of data and we're able to provide our stakeholders with critical insights faster than ever.

The biggest impact for us has been speed. Our data is on Snowflake, and in the past, we saw complex queries slowing things down particularly when lots of users queried the data. After implementing Kyvos, the difference was immediate. Even heavy, multi-dimensional queries return results in seconds.

So far, we haven’t faced any critical issues.

The overall experience has been great. We have been using Kyvos to run complex analytics use cases and get faster query responses on Looker. It connects directly to all our data sources and the dashboards get refreshed much faster than before.

Kyvos makes it easy to look at any amount of data without slowing down. The layout is simple and our team can use it with other tools they already know. It saves time and helps us get the information we need faster.

More pros than cons really! Whatever teething issues we had were addressed by their support team quickly.

Our team had tried a few conversational analytics tools in the past, but the responses were mostly generic and shallow. Kyvos has solved this problem, allowing our business team to get rich, contextual insights - without any delay. We can also save our conversations and continue in the same context whenever we resume.

We’ve been using Kyvos to obtain insights from our data using natural language prompts and are quite impressed with the kind of contextual responses we receive. The system also gives analytical summaries in plain English, which is very helpful.

Don’t particularly dislike anything till now. They also introduce new features with frequent releases.

Since we work with extremely large datasets, we were facing a lot of performance issues. After using Kyvos, we get insights much faster. The query response time has really gone down, and we can scale more easily.

Kyvos helps us perform complex analytics and get faster query responses on Looker. We’ve been able to connect Looker directly to all our data sources and work with dashboards that get refreshed instantly.

More pros than cons really! Whatever teething issues we had were addressed by their support team quickly.

Our existing analytics tool was not able to accommodate incoming data at the scale we needed. This created visibility bottlenecks and we were unable to perform comparative analysis efficiently. Kyvos has addressed these challenges and we can get customer insights much faster now.

Kyvos has helped us effortlessly perform period-over-period comparisons on years of customer data, without running into performance bottlenecks or excessive compute usage. We can now get really fast responses to ad hoc queries.

Community support is limited. Would be great to have more active forums where we can interact with other users.

Wonderful user experience. The performance is very good and really great tool for analytical purpose.

Reduces cloud spending by making queries more efficient
Offers flexible licencing
Doesn't charge on per-query basis.

It handled everything we've thrown at it without any problem.
It has solved all issues related to cloud charges and making analytics cost predictable.

It’s capable of querying billions of records in a matter of seconds without relying on any external platforms. We primarily use Tableau and Kyvos connects with it seamlessly.

Building dashboards is really easy with Kyvos’ drag-and-drop feature; I can visualize any data without much hassle. Another thing I really value in Kyvos is data security. Its role-based masking makes sure only authorized people see sensitive info.

The UI is clean and intuitive, and query performance is impressive.

With our old setup, we missed important insights because it couldn't handle all our data and KPIs. Kyvos fixed that; we now see everything we need, and our reports are much more helpful for our teams.

We can analyze many data points at once which gives a clear, detailed view of performance across the board. This helps us quickly spot where things are going well or where we need to step in.

So far, I haven’t encountered any major problems. The experience has been positive overall.

Previously, whenever we needed to pull and combine campaign data from different systems, IT support was necessary. Now with Kyvos, we can explore campaign metrics independently with more control and speed.

With Kyvos, it’s easy to monitor marketing performance across multiple geographies. I can break down campaigns by channel and location and get immediate insights.

I haven’t encountered any issues so far. The product’s incredibly easy to use, thanks to in-depth documentation.

We work with petabyte-scale data which was literally impossible to explore with our existing analytics tools. They couldn’t handle data at that scale - drilldowns were limited and comparative analysis was very slow. Kyvos has made this whole process much smoother, it allows easy querying and drilling through raw data using Presto and Hive.

Kyvos has made it much easier to explore and analyze large-scale data. It maps complex data to business-friendly terms and enables us to drill down deep for comparative analysis and granular insights.

Haven’t faced any major challenges. Sometimes it’s hard to catch up with the latest updates as they have monthly releases.

I used to spend far too much time troubleshooting data performance issues and preparing data in different formats for different teams. Now with Kyvos, there's a single source of truth everyone can rely on.

Kyvos has eased my work quite a bit. I don't need to build separate data sets for different tools anymore. I just set up the model once and now everyone can use their preferred BI tool and get insights without any issues.

Kyvos offers a wide range of advanced analytics features for many different use cases and is incredibly easy to use. Nothing to dislike.