Software Alternatives, Accelerators & Startups

Sisense VS SQL Developer Data Modeler

Compare Sisense VS SQL Developer Data Modeler and see what are their differences

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Sisense logo Sisense

The BI & Dashboard Software to handle multiple, large data sets.

SQL Developer Data Modeler logo SQL Developer Data Modeler

Oracle SQL Developer Data Modeler is a free graphical tool that simplifies data modeling tasks.
  • Sisense Landing page
    Landing page //
    2023-10-11

Behind Sisense's drag-and-drop user interface and eye-grabbing visualization options lies a technology that forever changes the world of business analytics software. By removing limitations to data size and performance imposed by in-memory and relational databases, Sisense enables any business to deliver interactive terabyte-scale analytics to thousands of users within hours

  • SQL Developer Data Modeler Landing page
    Landing page //
    2023-10-17

Sisense features and specs

  • Self-Service Analytics
    Sisense allows users to create, analyze, and visualize data through a straightforward drag-and-drop interface, which significantly reduces dependency on IT teams.
  • Scalability
    The platform is built to handle large datasets and can scale up efficiently to meet growing business needs, ensuring performance remains stable as data complexity increases.
  • Integrations
    Sisense offers robust integrations with numerous data sources, including databases, cloud services, and third-party applications, making it easy to unify data from across the organization.
  • Embedded Analytics
    The product provides strong embedded analytics capabilities, allowing businesses to integrate advanced analytics directly into their own applications and workflows.
  • Customizable Dashboards
    Users can create highly customizable dashboards tailored to specific business requirements, enabling more insightful and actionable data visualization.

Possible disadvantages of Sisense

  • Complexity for Novices
    While powerful, the platform has a steep learning curve for users who are not familiar with BI tools, requiring either training or a background in data analysis to leverage its full potential.
  • Cost
    Sisense can become expensive, particularly for small and medium-sized businesses, as pricing may increase with the addition of more users and data volume.
  • Performance Issues
    Some users report performance issues when dealing with extremely large datasets or complex queries, which can hinder real-time analytics and decision-making.
  • Customer Support
    Several users have mentioned that customer support can sometimes be slow to respond or resolve issues, which can be frustrating during critical business operations.
  • Limited Advanced Analytics
    While Sisense excels in self-service and embedded analytics, it may be less effective for advanced data science tasks such as machine learning and predictive analytics compared to specialized tools.

SQL Developer Data Modeler features and specs

  • Comprehensive Modeling Features
    SQL Developer Data Modeler provides a wide range of features for data modeling, including logical, physical, multi-dimensional, and data-type modeling, which allows users to handle complex database structures efficiently.
  • Integration with Oracle Products
    Being part of the Oracle ecosystem, SQL Developer Data Modeler offers seamless integration with other Oracle products, ensuring smooth workflows for users who operate within this ecosystem.
  • Visual Diagramming Tools
    The tool offers robust diagramming capabilities for visual representation of data models, which helps in better understanding and communicating database designs.
  • Reverse Engineering
    SQL Developer Data Modeler allows for reverse engineering of existing databases, enabling users to generate models from existing database schemas, which helps in documentation and analysis.
  • Version Control Integration
    It supports integration with version control systems, allowing users to manage changes and collaborate effectively on database model development.

Possible disadvantages of SQL Developer Data Modeler

  • Complexity for Beginners
    The comprehensive features and capabilities of SQL Developer Data Modeler can be overwhelming for beginners, often requiring a steep learning curve to become proficient.
  • Performance Issues
    Users have reported performance lags, especially when handling large data models, which can hinder productivity in complex projects.
  • Limited Non-Oracle Support
    While it integrates well with Oracle products, users working with non-Oracle databases may find limited support and functionality when using SQL Developer Data Modeler.
  • User Interface Complexity
    The user interface can be complex and cluttered for new users, making it challenging to navigate and utilize effectively without prior experience.
  • Cost Implications
    Depending on the licensing and usage, there might be cost implications, especially for organizations not already using Oracle products, which may find it less cost-effective compared to other tools.

Analysis of Sisense

Overall verdict

  • Sisense is a highly regarded business intelligence platform that is well-suited for companies looking for an easy-to-use yet powerful analytics tool. Its flexibility and scalability make it a strong contender in the BI market, catering to the needs of both small and large enterprises.

Why this product is good

  • Sisense is considered good due to its user-friendly interface, robust data visualization capabilities, and powerful analytics tools. It allows users to easily connect to a wide variety of data sources, provides advanced analytics without requiring deep technical knowledge, and offers customizable dashboards and reports. Additionally, Sisense includes features like AI-driven insights and high-speed processing, making it suitable for handling large datasets efficiently.

Recommended for

    Sisense is recommended for businesses and organizations of all sizes that need to transform complex data into actionable insights. It is particularly beneficial for data analysts, business strategists, and decision-makers who require real-time business intelligence and visualization without extensive IT intervention.

Sisense videos

I Evaluated 4 BI Tools: Power BI, Tableau, Google Data Studio, & Sisense. Here's What I Found.

More videos:

  • Review - Sisense Business Intelligence Software: Product Spotlight
  • Demo - Sisense Product Demo

SQL Developer Data Modeler videos

SQL Developer Data Modeler Just what you need

More videos:

  • Review - Creating Logical models using SQL Developer Data Modeler

Category Popularity

0-100% (relative to Sisense and SQL Developer Data Modeler)
Business Intelligence
100 100%
0% 0
Databases
0 0%
100% 100
Data Dashboard
100 100%
0% 0
Data Modeling
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Sisense and SQL Developer Data Modeler

Sisense Reviews

Explore 7 Tableau Alternatives for Data Visualization and Analysis
Sisense is a top business intelligence tool that converts complex data into useful insights. Sisense's Elastic Data Engine (EDT) enables fast query performance and real-time analytics. It provides a simple interface for data processing, viewing, and sharing. Sisense scales quickly, offers advanced analytics, and protects data. Its mobile apps provide on-the-go access to...
Source: www.draxlr.com
10 Best Alternatives to Looker in 2024
Sisense: Sisense excels at merging complex data from multiple sources into actionable insights, making it perfect for businesses handling diverse data sets. Its drag-and-drop interface simplifies the analytics process, making it accessible even to users with limited technical expertise.
6 Best Looker alternatives
Like Looker, Sisense doesnโ€™t release its pricing โ€“ they custom build quotes based on the number of users and data size. Reviews suggest that plans typically start at $17,000 per year.
Source: trevor.io
Top 10 AI Data Analysis Tools in 2024
One of the standout features of Sisense is its ability to visualize AI and machine learning-enhanced analytics through clear charts and graphs. Additionally, it supports natural language queries, allowing users to ask questions in everyday language and receive insights generated by natural language generation and generative AI technologies.
Source: powerdrill.ai
5 best dashboard building tools for SQL data in 2024
Sisense is the last business intelligence platform on our list, and it was founded in 2004. It operates on a single-stack architecture to provide insights as dashboards.
Source: www.draxlr.com

SQL Developer Data Modeler Reviews

Top 9 Data Modeling Tools Every Team Needs
Oracle SQL Developer Data Modeler is a free data modeling tool provided by Oracle. Its purpose is to let the users create, manage, and browse data models easily. It offers a robust suite of tools, including SQL programming, database administration, and data modeling, all in a unified environment. The options of forward and reverse engineering enable both designing new...
Source: www.devart.com

What are some alternatives?

When comparing Sisense and SQL Developer Data Modeler, you can also consider the following products

Looker - Looker makes it easy for analysts to create and curate custom data experiencesโ€”so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

pgModeler - Open source data modeling tool designed for PostgreSQL. No more DDL commands written by hand. Let pgModeler do the job for you!

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

erwin Data Modeler - erwin Data Modeler provides a collaborative environment to manage enterprise data though an...

Qlik - Qlik offers an Active Intelligence platform, delivering end-to-end, real-time data integration and analytics cloud solutions to close the gaps between data, insights, and action.

SAP PowerDesigner - SAP PowerDesigner: Enterprise Architecture tools for digital transformation success