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  5. Denodo vs SAS

Denodo vs SAS

OverviewComparisonAlternatives

Overview

Denodo
Denodo
Stacks40
Followers120
Votes0
GitHub Stars0
Forks0
SAS
SAS
Stacks83
Followers89
Votes0

Denodo vs SAS: What are the differences?

Introduction:

Denodo and SAS are both powerful tools used in the field of data integration and analytics. While they share some similarities, there are several key differences that set them apart from each other.

  1. Data Integration Approach: Denodo focuses on data virtualization, which allows users to access and combine data from different sources without physically moving or replicating it. On the other hand, SAS provides a wide range of data integration techniques, including data cleansing, transformation, and loading, to create a unified view of data from multiple sources.

  2. Analytics Capabilities: SAS is well-known for its advanced analytics features, including statistical analysis, predictive modeling, and machine learning. It provides a comprehensive suite of tools and algorithms for data exploration and model building. In contrast, while Denodo offers basic analytic capabilities, its primary focus is on providing a unified view of data across disparate sources.

  3. Deployment Flexibility: Denodo is a software-based solution that can be deployed both on-premises and in the cloud. It supports various cloud platforms and can seamlessly integrate with existing data infrastructure. On the other hand, SAS offers flexibility in deployment options, including on-premises, cloud, and hybrid environments.

  4. Data Governance and Security: SAS provides robust data governance and security capabilities, enabling organizations to define and enforce policies for data access, usage, and protection. It offers features such as role-based access control, audit trail, and data masking. While Denodo also offers some data governance features, SAS provides a more comprehensive suite of tools for data governance and security.

  5. Ease of Use and Learning Curve: Denodo is known for its intuitive and user-friendly interface, which allows users to easily access and combine data from different sources. It has a shorter learning curve, making it easier for users to adapt and start using the tool effectively. On the other hand, SAS has a steeper learning curve due to its extensive functionalities and advanced analytics capabilities.

  6. Industry Focus: Denodo is widely used across industries, including healthcare, finance, retail, and manufacturing, to provide a unified view of data for reporting and analytics purposes. SAS, on the other hand, has a strong presence in industries such as banking, insurance, healthcare, and government, where its advanced analytics capabilities are highly valued.

In summary, Denodo focuses on data virtualization and providing a unified view of data from disparate sources, while SAS offers advanced analytics capabilities and a comprehensive suite of tools for data integration and analytics. Denodo is known for its ease of use and flexibility in deployment, while SAS provides robust data governance and security features. Each tool has its strengths and areas of specialization, making it important to choose the right tool based on specific business requirements.

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Detailed Comparison

Denodo
Denodo
SAS
SAS

It is the leader in data virtualization providing data access, data governance and data delivery capabilities across the broadest range of enterprise, cloud, big data, and unstructured data sources without moving the data from their original repositories.

It is a command-driven software package used for statistical analysis and data visualization. It is available only for Windows operating systems. It is arguably one of the most widely used statistical software packages in both industry and academia.

Data virtualization; Data query; Data views
Analyses; Reporting; Data mining; Predictive modeling
Statistics
GitHub Stars
0
GitHub Stars
-
GitHub Forks
0
GitHub Forks
-
Stacks
40
Stacks
83
Followers
120
Followers
89
Votes
0
Votes
0
Integrations
DataRobot
DataRobot
AtScale
AtScale
Vertica
Vertica
Trifacta
Trifacta
Dremio
Dremio
Apache Kylin
Apache Kylin
SAP HANA
SAP HANA
No integrations available

What are some alternatives to Denodo, SAS?

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.

Pandas

Pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.

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.

NumPy

NumPy

Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.

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.

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