DataMax

DataMax

Digiterre
Kyvos Semantic Layer

Kyvos Semantic Layer

Kyvos Insights
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About

DataMax is an enterprise-ready platform that takes the most complex elements of real-time data management and makes them simple to develop, deploy and operate at scale. This provides the ability to deliver business change at greater velocity. DataMax is a unique architecture, process and combination of specific technologies that rapidly move an organisation from disparate data and reporting sources into a single view of data which provides organisations with the insight they need to run their business more effectively. The system combines technologies in a unique way that delivers enterprise strength data management. The approach was proven to scale and is Cloud deployable. Covers time series and non-time series data to produce analytics platforms which provide a step change in the quality of data, analysis and reporting available to market analytics teams and then provided to Traders.

About

Kyvos is a semantic layer for AI and BI. By standardizing how data is defined and understood, Kyvos gives organizations a single, consistent, business-friendly view of their entire data estate. The result: AI agents reason with governed context, BI tools report consistent metrics, and the business gets answers it can trust. Built for enterprise scale, Kyvos provides the speed, scale, and trust that production-grade AI and enterprise BI demand. It also maximizes analytics investments by reducing token consumption and cloud compute costs.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Companies looking for a Big Data and real-time platform

Audience

Data Analysts, Chief Data officers, Data teams, Analyst teams, business users

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

CPU/Core-Based
Free Version Supported
Free Trial Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 4.9 / 5
ease 4.7 / 5
features 4.7 / 5
design 4.8 / 5
support 4.8 / 5

Pros & Cons from Real Users

Pros

  • One of the reasons we selected the Kyvos semantic layer was its flexibility. Our analytics environment keeps evolving but our business definitions have remained in one place. That saved us from constantly rebuilding semantic models every time something changed.
  • One thing I really appreciate about Kyvos semantic layer is how it helps improve AI accuracy by exposing business-ready data instead of raw technical datasets. The semantic definitions create useful context that AI applications can leverage, which reduces the chances of generating misleading answers.
  • Our organization uses multiple data platforms, so interoperability was important for us. Kyvos semantic layer worked well across our cloud ecosystem and helped standardize analytics access without forcing us into a single BI stack. I also like that it connects with existing BI tools instead of requiring users to completely change their workflows.
  • We track campaign performance across channels and the questions keep changing as campaigns evolve. Kyvos semantic layer has helped us to quickly move from a high-level view to detailed insights. This is especially helpful when campaigns are running live.
  • We’re responsible for ensuring that data is used correctly across teams. Kyvos semantic layer standardizes how things are consumed which reduces the risk of inconsistencies showing up in reports.

Cons

  • After evaluating several platforms, this was one of the few that fit naturally into our existing architecture. We really haven't encountered any major drawbacks so far.
  • Using it for several months now and haven't run into any major limitations so far.
  • Cross-platform environments naturally involve additional coordination between infrastructure and analytics teams. Kyvos still handled that better than many solutions we evaluated.
  • It took a little time to get comfortable with it, but after that it’s been straightforward.
  • It felt a bit different at first compared to how we were working earlier, but it became easier once we got used to it.

Training

Documentation Not Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported

Company Information

Digiterre
Founded: 2000
United States
www.digiterre.com/datamax/

Company Information

Kyvos Insights
Founded: 2015
United States
www.kyvosinsights.com

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Categories

Big Data Supported

Categories

Big Data Supported
Semantic Layer Supported

Big Data Features

Collaboration Not Supported
Data Blends Not Supported
Data Cleansing Not Supported
Data Mining Not Supported
Data Visualization Not Supported
Data Warehousing Not Supported
High Volume Processing Supported
No-Code Sandbox Not Supported
Predictive Analytics Not Supported
Templates Not Supported

Business Intelligence Features

Ad Hoc Reports Supported
Benchmarking Supported
Budgeting & Forecasting Supported
Dashboard Supported
Data Analysis Supported
Key Performance Indicators Supported
Natural Language Generation (NLG) Not Supported
Performance Metrics Supported
Predictive Analytics Supported
Profitability Analysis Supported
Strategic Planning Supported
Trend / Problem Indicators Supported
Visual Analytics Supported

Integrations

Amazon Redshift Not Supported
Amazon S3 Not Supported
Amazon Web Services (AWS) Not Supported
Azure Databricks Not Supported
Cloudera Not Supported
Delta Lake Not Supported
Google Cloud BigQuery Not Supported
Google Cloud Platform Not Supported
Google Cloud Storage Not Supported
Hadoop Not Supported
Looker Not Supported
Microsoft Azure Not Supported
Microsoft Excel Not Supported
Snowflake Not Supported
Strategy ONE Not Supported
Tableau Not Supported

Integrations

Amazon Redshift Supported
Amazon S3 Supported
Amazon Web Services (AWS) Supported
Azure Databricks Supported
Cloudera Supported
Delta Lake Supported
Google Cloud BigQuery Supported
Google Cloud Platform Supported
Google Cloud Storage Supported
Hadoop Supported
Looker Supported
Microsoft Azure Supported
Microsoft Excel Supported
Snowflake Supported
Strategy ONE Supported
Tableau Supported
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