Kyvos vs Power BI

Overview

Power BI

Stacks994

Followers946

Votes29

Kyvos

Stacks13

Followers32

Votes0

Kyvos vs Power BI: What are the differences?

Introduction:

Kyvos and Power BI are two popular business intelligence tools that offer unique features and functionalities. Below are the key differences between Kyvos and Power BI.

Scalability: Kyvos is well-known for its ability to handle massive amounts of data with its scalable architecture, making it ideal for enterprises dealing with big data. On the contrary, while Power BI is suitable for smaller datasets, it may not be as efficient when working with extremely large datasets due to its limitations in scalability.
Data Modeling: Kyvos provides a powerful data modeling capability that allows users to model data from multiple sources and create a unified view for analysis. In contrast, Power BI offers data modeling features but may not be as robust as Kyvos in handling complex data relationships and scenarios.
Query Performance: Kyvos is designed to optimize query performance by leveraging technologies like OLAP and in-memory processing, resulting in faster query response times. Power BI, although efficient in handling usual queries, may not match the performance levels offered by Kyvos in complex analytical queries or large-scale data processing.
Data Source Connectivity: Kyvos supports a wide range of data sources, including on-premises and cloud-based sources, ensuring seamless connectivity and integration of various data types. Power BI also offers connectivity options, but the range of supported data sources may be more limited compared to Kyvos, especially when dealing with diverse data environments.
Visualizations and Dashboards: Power BI is renowned for its user-friendly interface and extensive library of visualizations and dashboard options, allowing users to create compelling and interactive reports effortlessly. While Kyvos offers visualization capabilities, it may not provide the same level of customization and flexibility as Power BI in creating visually appealing dashboards.
Deployment Options: Kyvos provides flexible deployment options, including on-premises, cloud, and hybrid deployment models, catering to diverse IT environments and preferences. In contrast, Power BI primarily focuses on cloud-based deployment and may not offer as many deployment choices as Kyvos for organizations with specific infrastructure requirements.

In Summary, Kyvos excels in scalability, data modeling, and query performance, while Power BI stands out for its visualization options and user-friendly interface. Both tools have their strengths and are suitable for different business intelligence needs.

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Advice on Power BI, Kyvos

Vojtech

Head of Data at Mews

Nov 24, 2019

Decided

Power BI is really easy to start with. If you have just several Excel sheets or CSV files, or you build your first automated pipeline, it is actually quite intuitive to build your first reports.

And as we have kept growing, all the additional features and tools were just there within the Azure platform and/or Office 365.

Since we started building Mews, we have already passed several milestones in becoming start up, later also a scale up company and now getting ready to grow even further, and during all these phases Power BI was just the right tool for us.

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Detailed Comparison

Power BI	Kyvos
It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.	Kyvos is a BI acceleration platform that helps users analyze big data on the cloud with exceptionally high performance using any BI tool they like. You can accelerate your cloud analytics while optimizing your costs with Kyvos.
Get self-service analytics at enterprise scale; Use smart tools for strong results; Help protect your analytics data	Accelerate BI - Instant insights on trillions of rows; OLAP Modernization - Cloud-native Smart OLAP built to scale; Reduce Cloud Costs - Build-once-query-multiple-times approach for cost-effective BI; No Data Engineering - Simplified UI-based data modelling; Universal semantic layer - One version of truth across the business; Support for all cloud platforms and BI tools; Enterprise security features with row and column level security
Statistics
Stacks 994	Stacks 13
Followers 946	Followers 32
Votes 29	Votes 0
Pros & Cons
Pros 18 Cross-filtering 4 Database visualisation 2 Powerful Calculation Engine 2 Intuitive and complete internal ETL 2 Access from anywhere	No community feedback yet
Integrations
Microsoft Excel	Snowflake Amazon S3 PostgreSQL Cloudera Enterprise R Language Tableau Python AWS Glue Microsoft Azure Google Cloud Platform

What are some alternatives to Power BI, Kyvos?

Metabase

It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.

Superset

Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.

Cube

Cube: the universal semantic layer that makes it easy to connect BI silos, embed analytics, and power your data apps and AI with context.

Mode

Created by analysts, for analysts, Mode is a SQL-based analytics tool that connects directly to your database. Mode is designed to alleviate the bottlenecks in today's analytical workflow and drive collaboration around data projects.

Google Datastudio

It lets you create reports and data visualizations. Data Sources are reusable components that connect a report to your data, such as Google Analytics, Google Sheets, Google AdWords and so forth. You can unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions.

AskNed

AskNed is an analytics platform where enterprise users can get answers from their data by simply typing questions in plain English.

Shiny

It is an open source R package that provides an elegant and powerful web framework for building web applications using R. It helps you turn your analyses into interactive web applications without requiring HTML, CSS, or JavaScript knowledge.

Redash

Redash helps you make sense of your data. Connect and query your data sources, build dashboards to visualize data and share them with your company.

Azure Synapse

It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

Periscope

Periscope is a data analysis tool that uses pre-emptive in-memory caching and statistical sampling to run data analyses really, really fast.

Related Comparisons

Kyvos vs Power BI: What are the differences?

Introduction:

Kyvos and Power BI are two popular business intelligence tools that offer unique features and functionalities. Below are the key differences between Kyvos and Power BI.

Scalability: Kyvos is well-known for its ability to handle massive amounts of data with its scalable architecture, making it ideal for enterprises dealing with big data. On the contrary, while Power BI is suitable for smaller datasets, it may not be as efficient when working with extremely large datasets due to its limitations in scalability.
Data Modeling: Kyvos provides a powerful data modeling capability that allows users to model data from multiple sources and create a unified view for analysis. In contrast, Power BI offers data modeling features but may not be as robust as Kyvos in handling complex data relationships and scenarios.
Query Performance: Kyvos is designed to optimize query performance by leveraging technologies like OLAP and in-memory processing, resulting in faster query response times. Power BI, although efficient in handling usual queries, may not match the performance levels offered by Kyvos in complex analytical queries or large-scale data processing.
Data Source Connectivity: Kyvos supports a wide range of data sources, including on-premises and cloud-based sources, ensuring seamless connectivity and integration of various data types. Power BI also offers connectivity options, but the range of supported data sources may be more limited compared to Kyvos, especially when dealing with diverse data environments.
Visualizations and Dashboards: Power BI is renowned for its user-friendly interface and extensive library of visualizations and dashboard options, allowing users to create compelling and interactive reports effortlessly. While Kyvos offers visualization capabilities, it may not provide the same level of customization and flexibility as Power BI in creating visually appealing dashboards.
Deployment Options: Kyvos provides flexible deployment options, including on-premises, cloud, and hybrid deployment models, catering to diverse IT environments and preferences. In contrast, Power BI primarily focuses on cloud-based deployment and may not offer as many deployment choices as Kyvos for organizations with specific infrastructure requirements.

Kyvos vs Power BI

Overview