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  5. IBM Cognos Analytics vs Kyvos

IBM Cognos Analytics vs Kyvos

OverviewComparisonAlternatives

Overview

Kyvos
Kyvos
Stacks13
Followers32
Votes0
IBM Cognos Analytics
IBM Cognos Analytics
Stacks19
Followers17
Votes0

IBM Cognos Analytics vs Kyvos: What are the differences?

# Key Differences between IBM Cognos Analytics and Kyvos

IBM Cognos Analytics is a business intelligence tool that focuses on traditional reporting and dashboarding capabilities, while Kyvos is a OLAP (Online Analytical Processing) platform that specializes in handling big data and enabling interactive analytics at massive scale.

1. **Data Source Compatibility**: IBM Cognos Analytics supports a wide range of data sources including relational databases, spreadsheets, and cloud-based data sources, while Kyvos is specifically designed to work with big data platforms such as Hadoop, Snowflake, and Azure Synapse.

2. **Scalability**: Kyvos has the ability to scale out horizontally to handle petabytes of data and enable fast, interactive querying on big data, which is a feature not as prominently emphasized in IBM Cognos Analytics.

3. **Aggregation**: Kyvos uses pre-aggregated cubes for faster query performance, especially with large datasets, while IBM Cognos Analytics relies more on traditional SQL queries for data retrieval and analysis.

4. **In-Memory Processing**: IBM Cognos Analytics uses in-memory processing for faster query performance on smaller datasets, while Kyvos utilizes a hybrid architecture combining in-memory processing with disk-based storage for optimal performance on large volumes of data.

5. **Real-time Analytics**: Kyvos offers real-time analytics capabilities with near-instant data refreshes and query responses, allowing organizations to make informed decisions quickly based on the most recent data, a feature that is less emphasized in IBM Cognos Analytics.

6. **Cube Processing Model**: Kyvos employs a multi-dimensional cube processing model for complex data aggregations and calculations, providing users with a flexible and intuitive way to analyze data, while IBM Cognos Analytics focuses more on traditional tabular reporting and visualization techniques.

In Summary, IBM Cognos Analytics emphasizes traditional reporting and dashboarding capabilities with support for various data sources, while Kyvos specializes in handling big data, enabling interactive analytics at massive scale, and offering real-time analytics capabilities with a focus on cube processing for complex data aggregations.

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Detailed Comparison

Kyvos
Kyvos
IBM Cognos Analytics
IBM Cognos 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 is a business intelligence solution that empowers users with AI-infused self-service capabilities that accelerate data preparation, analysis, and report creation. It makes it easier than ever to visualize data and share actionable insights across your organization to foster more data-driven decisions.

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
Protect your data; Visualize your business performance; Share critical insights easily
Statistics
Stacks
13
Stacks
19
Followers
32
Followers
17
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, IBM Cognos 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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