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  5. Kyvos vs Qrvey Analytics

Kyvos vs Qrvey Analytics

OverviewComparisonAlternatives

Overview

Kyvos
Kyvos
Stacks13
Followers32
Votes0
Qrvey Analytics
Qrvey Analytics
Stacks2
Followers4
Votes0

Qrvey Analytics vs Kyvos: What are the differences?

Developers describe Qrvey Analytics as "All-in-One Business Analytics Platform". It makes analytics on AWS easy with an all-in-one platform that includes data collection, transformation, analysis, visualizations, automation and machine learning. It's perfect for distributed and embedded use cases for the enterprise and software companies. On the other hand, Kyvos is detailed as "BI acceleration platform for the cloud and on-premise data lakes". It is the world’s most powerful BI acceleration platform that delivers instant insights at petabyte scale, both on the cloud and on-premise data lakes. Our breakthrough OLAP technology revolutionizes analytics by enabling users to visualize, explore, and analyze massive volumes of data with sub-second response times.

Qrvey Analytics and Kyvos can be categorized as "Business Intelligence" tools.

Some of the features offered by Qrvey Analytics are:

  • Data collection
  • Data transformation
  • Data visualization

On the other hand, Kyvos provides the following key features:

  • Semantic layer powered by next-generation OLAP
  • Instant responses at massive scale
  • Scale-out architecture for concurrent access

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Detailed Comparison

Kyvos
Kyvos
Qrvey Analytics
Qrvey Analytics

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.

It makes analytics on AWS easy with an all-in-one platform that includes data collection, transformation, analysis, visualizations, automation and machine learning. It's perfect for distributed and embedded use cases for the enterprise and software companies.

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
Data collection;Data transformation;Data visualization;Data automation; Machine learning:charts, reports, metrics and dashboards
Statistics
Stacks
13
Stacks
2
Followers
32
Followers
4
Votes
0
Votes
0
Integrations
Snowflake
Snowflake
Amazon S3
Amazon S3
PostgreSQL
PostgreSQL
Cloudera Enterprise
Cloudera Enterprise
R Language
R Language
Tableau
Tableau
Python
Python
AWS Glue
AWS Glue
Microsoft Azure
Microsoft Azure
Google Cloud Platform
Google Cloud Platform
No integrations available

What are some alternatives to Kyvos, Qrvey Analytics?

Metabase

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

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

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

Power BI

Power BI

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.

Mode

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

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

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

Shiny

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

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

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.

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