Software Alternatives, Accelerators & Startups

data.world VS Informatica Enterprise Data Integration

Compare data.world VS Informatica Enterprise Data Integration and see what are their differences

data.world logo data.world

The social network for data people

Informatica Enterprise Data Integration logo Informatica Enterprise Data Integration

Learn how Informatica's data integration products integrate all of your data and applications, in batch or real time.
  • data.world Landing page
    Landing page //
    2023-09-26
  • Informatica Enterprise Data Integration Landing page
    Landing page //
    2023-01-03

data.world features and specs

  • Collaborative Environment
    data.world provides a platform for teams to collaborate on data projects in real-time, making it easier for data scientists, analysts, and enthusiasts to work together and share insights.
  • Integration Capabilities
    The platform supports integrations with popular tools and services like Excel, Tableau, and Python, making it easier to import, export, and manipulate data across various applications.
  • Extensive Dataset Catalog
    data.world offers a vast collection of public datasets, empowering users to find and leverage data from a wide range of sources for their projects.
  • Querying Tools
    Users can execute SQL queries directly on the data.world platform, enabling powerful data analysis and transformations within the environment.
  • User-Friendly Interface
    The platform features an intuitive user interface that makes it accessible for users with varying levels of technical expertise.

Possible disadvantages of data.world

  • Pricing
    While data.world offers a free tier, more advanced features and functionality require a paid subscription, which might be cost-prohibitive for individuals or smaller organizations.
  • Learning Curve
    Despite its user-friendly interface, there is still a learning curve associated with fully utilizing all of the platform's features, particularly for users who are not familiar with SQL or data analysis tools.
  • Performance Limitations
    For very large datasets or complex analytical operations, the platform may experience performance constraints, potentially requiring users to rely on more powerful, external data processing tools.
  • Data Privacy Concerns
    As with any cloud-based platform, there are inherent data privacy and security concerns. Users must be cautious about the sensitivity of the data they upload and ensure compliance with relevant regulations.
  • Feature Parity with Competitors
    While data.world offers many great features, some users might find that other data collaboration platforms provide more advanced or specialized tools that better suit their needs.

Informatica Enterprise Data Integration features and specs

  • Scalability
    Informatica Enterprise Data Integration offers robust scalability, which allows businesses to handle increasing volumes of data and users without degrading performance.
  • Comprehensive Connectivity
    It supports a wide range of data sources and platforms, providing extensive pre-built connectors and APIs for seamless data integration across cloud, on-premise, and hybrid environments.
  • User-Friendly Interface
    The platform offers an intuitive and easy-to-use interface that simplifies the process of data mapping and transformation for users, reducing the learning curve for new users.
  • Strong Data Governance
    In-built features for data quality management and governance allow businesses to maintain high standards of data integrity and compliance.
  • Automation and Real-time Processing
    The solution supports automated data workflows and real-time data processing, enabling faster and more efficient data handling and analysis.

Possible disadvantages of Informatica Enterprise Data Integration

  • Cost
    Informatica's solutions can be expensive, especially for smaller businesses or startups with limited budgets, as it involves software, hardware, and potentially consulting costs.
  • Complexity
    While the interface is user-friendly, the solution itself can become quite complex when dealing with extensive customization or integration of large data systems, requiring skilled resources to manage.
  • Resource Intensive
    To optimize its functionality, the platform may require significant IT resources and infrastructure, which might not be feasible for all organizations.
  • Steep Learning Curve
    Although designed to be user-friendly, mastering the full suite of features offered by Informatica can take time, especially for non-technical users or those new to data integration.
  • Upgrades and Maintenance
    Regular updates and maintenance can be cumbersome, potentially disrupting business operations and requiring additional administrative overhead.

Analysis of data.world

Overall verdict

  • Overall, data.world is regarded as a beneficial platform for data enthusiasts, professionals, and organizations looking to collaborate on data projects. Its user-friendly interface, strong community focus, and extensive features make it a valuable resource for those working with data.

Why this product is good

  • data.world is considered a good platform for a variety of reasons. It acts as a collaborative data community where users can discover and share open data. The platform provides tools for collaborative data projects, making it easier for users to work together on data analysis and insights. It also supports a wide range of data formats and offers integrations with other tools and platforms, enhancing its versatility. Additionally, data.world emphasizes openness and transparency, which can foster trust among users who are seeking reliable data sources.

Recommended for

  • Data analysts and scientists who need a collaborative environment to work on data projects.
  • Organizations looking to share and manage their data with a broader community.
  • Educators and researchers seeking open data sets for teaching or scholarly purposes.
  • Business professionals who require integration with other data tools for enhanced data insights.

Category Popularity

0-100% (relative to data.world and Informatica Enterprise Data Integration)
Data Dashboard
100 100%
0% 0
Monitoring Tools
0 0%
100% 100
Data Integration
75 75%
25% 25
AI Platform
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, data.world seems to be more popular. It has been mentiond 24 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

data.world mentions (24)

  • Is data at every company still an absolute mess?
    I'll be sure to check out data.world propose to use it if it makes sense, thanks. Source: over 2 years ago
  • GIS data for a project. I apologize for the banality of my request and for my English.
    Just google qgis datasets. There are so so many interesting sets you will find. Check out qgis.org, or data.world for starters. Source: over 2 years ago
  • Best way to open source a my dataset?
    But, I'm also aware that there are dedicated platforms to catalog and share data (e.g. https://www.dolthub.com/, https://data.world/), and that uploading data on Github, in general, doesn't seem best practise. Source: over 2 years ago
  • Alation vs. Atlan vs. Collibra
    The client is considering the 3 I mentioned, plus data.world. I need to research that one next. Microsoft Purview has already been considered. Source: over 2 years ago
  • Looking for christmas cost dataset by year and country.
    Im looking for Christmas cost dataset by year and country, Im looking in the data.world and other web pages and I cant found anything. Source: almost 3 years ago
View more

Informatica Enterprise Data Integration mentions (0)

We have not tracked any mentions of Informatica Enterprise Data Integration yet. Tracking of Informatica Enterprise Data Integration recommendations started around Mar 2021.

What are some alternatives?

When comparing data.world and Informatica Enterprise Data Integration, you can also consider the following products

Denodo - Denodo delivers on-demand real-time data access to many sources as integrated data services with high performance using intelligent real-time query optimization, caching, in-memory and hybrid strategies.

ChainSys dataZap - The ChainSys dataZap is one platform for data and setup migrations, integrations, reconciliations, big data ingestions and archival. Read on to learn more.

IBM Cloud Pak for Data - Move to cloud faster with IBM Cloud Paks running on Red Hat OpenShift โ€“ fully integrated, open, containerized and secure solutions certified by IBM.

Jitterbit - Jitterbit is an open source integration software that helps businesses connect applications, data and systems.

K2View Fabric - K2View Fabric provides a data-centric approach to data management that delivers access to key data in real-time through patented mico-databases.

HVR - Your data. Where you need it. HVR is the leading independent real-time data replication solution that offers efficient data integration for cloud and more.