Software Alternatives & Startups

SQL Server 2017 VS EDA

Compare SQL Server 2017 VS EDA and see what are their differences

SQL Server 2017

Jul 1, 2017 - Learn about tools and services for mobile and paginated Reporting Services reports and Power BI reports on premises.

Rating
0 reviews
EDA

The easiest data analytics tool for end users. You can make impressive reports without a single line of code. Easy to use and easy to administrate. It have Open Source option or SaaS option.

Rating
0 reviews

Which is more popular?

Data Dashboard popularity
100% vs 0%
alternatives listed
96 vs 16

Base details

Website, pricing, platforms and company facts side by side.

SQL Server 2017
EDA
Website microsoft.com eda.jortilles.com
Listed in

Features and specs

What each product offers, as listed by its team.

SQL Server 2017 5 features
EDA 0 features
  • Cross-Platform Support
    SQL Server 2017 offers cross-platform support, enabling it to run on Windows, Linux, and Docker containers, providing flexibility and integration into various environments.
  • Graph Database Capabilities
    Introduces graph database capabilities, allowing the modeling of complex data relationships easily and efficiently, expanding its use cases.
  • Advanced Analytics
    Integrates with Microsoft R and Python services, facilitating advanced analytics and machine learning directly within the database, which helps organizations to perform sophisticated data analysis.
  • Adaptive Query Processing
    Includes adaptive query processing features to optimize query performance automatically, improving application speed and efficiency.
  • Enhanced Security
    SQL Server 2017 continues to enhance security with features like Always Encrypted, Dynamic Data Masking, and Row-Level Security to protect sensitive data.

Possible disadvantages

  • Cost
    Licensing and support costs for SQL Server can be relatively high, particularly for enterprise editions, which may not be cost-effective for smaller organizations.
  • Complexity
    SQL Server 2017 includes a vast array of features and configurations that can introduce complexity, requiring substantial expertise to manage and optimize.
  • Resource Intensive
    Requires significant system resources for optimal performance, which may necessitate additional investment in hardware to operate efficiently at scale.
  • Limited NoSQL Functionality
    While SQL Server 2017 introduces some NoSQL features through its support for JSON and graph databases, it still lags behind dedicated NoSQL databases in terms of flexibility and scalability for unstructured data.
  • Version-Specific Features
    Some advanced features are only available in the latest versions or specific editions, which may necessitate upgrades or specific licensing to access the full capabilities, leading to additional expenses.

No features have been listed yet.

Videos

Walkthroughs and reviews on video.

SQL Server 2017 2 videos + Add
EDA 3 videos + Add

SQL Server 2017 – Everything you need to know

More videos

  • - SQL Server 2017 Features

Barstool Pizza Review - Eda's Pizzeria (Philadelphia, PA)

More videos

  • - KZ EDA
  • - KZ EDA Review - 3 Different Earphones In The Same Box?

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
SQL Server 2017
EDA
100% 100%
0% 0%
67% 67%
33% 33%
100% 100%
0% 0%
0% 0%
100% 100%

User comments

Share your experience with using SQL Server 2017 and EDA. For example, how are they different and which one is better?

Log in or Post with

Alternatives to SQL Server 2017 and EDA

When comparing SQL Server 2017 and EDA, you can also consider the following products.