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Skyvia VS Scikit-learn

Compare Skyvia VS Scikit-learn and see what are their differences

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Skyvia logo Skyvia

Free cloud data platform for data integration, backup & management

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • Skyvia Landing page
    Landing page //
    2023-09-12
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

Skyvia features and specs

  • Ease of Use
    Skyvia provides a user-friendly interface that makes it easy for non-technical users to set up and manage data integration, backup, and other tasks without requiring coding skills.
  • Versatile Data Integration
    Supports a wide range of data sources including cloud apps, databases, and CSV files, allowing for flexible data integration scenarios.
  • Pricing Model
    Offers a freemium model that allows users to start with basic features for free and scale up with more advanced features as needed.
  • Cloud-Based
    As a cloud-based tool, Skyvia eliminates the need for on-premises installation and maintenance, reducing IT overhead.
  • Comprehensive Features
    Provides a suite of tools for data integration, backup, management, and data visualization, making it a one-stop solution for many data-related tasks.
  • API Integration
    Allows for integration via APIs, enabling automated and scheduled data operations.

Possible disadvantages of Skyvia

  • Learning Curve
    Despite its user-friendly interface, some users may still face a learning curve when it comes to understanding and utilizing all of its features effectively.
  • Dependency on Internet
    As a cloud-based solution, users are dependent on a stable internet connection to use the platform, which could be a limitation in areas with unreliable connectivity.
  • Customization Limitations
    While Skyvia offers a range of features, highly specialized customization might require additional development work outside the platform.
  • Data Latency
    For very large data sets, there could be a noticeable delay in data synchronization or backup processes.
  • Price for Premium Features
    Advanced features and higher usage limits can become costly, which might be a concern for small businesses or startups operating on tight budgets.
  • Limited Offline Access
    Because it's a cloud-based service, Skyvia offers limited functionality when offline.

Scikit-learn features and specs

  • Ease of Use
    Scikit-learn provides a high-level interface for common machine learning algorithms, making it easy for beginners and professionals to implement complex models with minimal coding.
  • Extensive Documentation and Community Support
    The library has comprehensive documentation and a large, active community. This makes it easy to find tutorials, examples, and solutions to common problems.
  • Integration with Other Libraries
    Scikit-learn integrates well with other scientific computing libraries such as NumPy, SciPy, and pandas, allowing for seamless data manipulation and analysis.
  • Variety of Algorithms
    It offers a wide array of machine learning algorithms for tasks such as classification, regression, clustering, and dimensionality reduction.
  • Performance
    Designed with performance in mind, many of the algorithms are optimized and some even support multicore processing.

Possible disadvantages of Scikit-learn

  • Limited Deep Learning Support
    Scikit-learn is primarily focused on traditional machine learning algorithms and does not offer support for deep learning models, unlike libraries like TensorFlow or PyTorch.
  • Not Ideal for Large-Scale Data
    While Scikit-learn performs well for moderate-sized datasets, it may not be the best choice for extremely large datasets or big data applications.
  • Lack of Online Learning Algorithms
    The library has limited support for online learning algorithms, which are useful for scenarios where data arrives in a stream and model needs to be updated incrementally.
  • Less Flexibility in Customization
    It can be less flexible compared to lower-level libraries when highly customized or specific implementations are needed.
  • Dependency Overhead
    Scikit-learn relies on several other Python libraries like NumPy and SciPy, which might require users to manage multiple dependencies.

Skyvia videos

+ Add

Skyvia Data integration review 2020 | Best Data integration 2019

More videos:

  • Review - Skyvia Data Integration
  • Review - Jira to Google BigQuery Data Integration with Skyvia - Build vs Buy

Scikit-learn videos

+ Add

Learning Scikit-Learn (AI Adventures)

More videos:

  • Review - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

Category Popularity

0-100% (relative to Skyvia and Scikit-learn)

Skyvia

Scikit-learn

Data Integration
100 100%
Data Integration
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Web Service Automation
100 100%
Web Service Automation
0% 0
Data Science Tools
0 0%
Data Science Tools
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 Skyvia and Scikit-learn

Skyvia Reviews

15+ Best Cloud ETL Tools
Skyvia, a product of Devart, is a no-code cloud data integration platform for data integration, backup, management, and connectivity. It supports numerous data integration scenarios, like ETL, ELT, Reverse ETL, data migration, one-way and bi-directional data sync, and workflow automation.
Source: estuary.dev
Top 8 Apache Airflow Alternatives in 2024
Skyvia offers the ETL, ELT, and Reverse ETL functionality for any data integration process. Set up source and destination data platforms or apps for indicating the data path. Then, determine how data needs to be transformed and mapped. Also, Skyvia allows scheduling data integration processes so that new or updated data is transferred regularly. While simple scenarios are...
Source: blog.skyvia.com
13 data integration tools: a comparative analysis of the top solutions
Skyvia is a user-friendly data integration tool that excels in creating simple relationships and executing straightforward tasks. It's ideal for organizations looking to automate data backups with robust security, thanks to its hosting in the secure Azure data cloud.
Source: blog.n8n.io
15 Best ETL Tools in 2022 (A Complete Updated List)
Skyvia is a cloud data platform for no-coding data integration, backup, management and access, developed by Devart. Devart company is a well-known and trusted provider of data access solutions, database tools, development tools, and other software products with over 40 000 grateful customers in two R&D departments.
Source: www.softwaretestinghelp.com
Best iPaaS Softwares
Skyvia is a universal SaaS (Software as a Service) data platform for quick and easy solving a wide set of data-related tasks with no coding: data integration, automating workflows, cloud data backup, building reports and dashboards, data management with SQL, CSV import/export, creating OData services, etc. It supports a number of cloud applications and databases, and...
Source: iotbyhvm.ooo

Scikit-learn Reviews

15 data science tools to consider using in 2021
Scikit-learn is an open source machine learning library for Python that's built on the SciPy and NumPy scientific computing libraries, plus Matplotlib for plotting data. It supports both supervised and unsupervised machine learning and includes numerous algorithms and models, called estimators in scikit-learn parlance. Additionally, it provides functionality for model...
Source: searchbusinessanalytics.techtarget.com

Social recommendations and mentions

Based on our record, Scikit-learn seems to be a lot more popular than Skyvia. While we know about 31 links to Scikit-learn, we've tracked only 2 mentions of Skyvia. 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.

Skyvia mentions (2)

  • Drop Salesforce Report into SFTP folder
    You can try https://skyvia.com/, they seem to have a free product to do this, but it's pretty limited in the free version. Dataloader.io also can do this, but it's $300 a month to unlock SFTP exports. Source: over 3 years ago
  • Free for dev - list of software (SaaS, PaaS, IaaS, etc.)
    Skyvia.com — Cloud Data Platform, offers free tier and all plans are completely free while in beta. - Source: dev.to / almost 4 years ago

Scikit-learn mentions (31)

  • Must-Know 2025 Developer’s Roadmap and Key Programming Trends
    Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 4 months ago
  • 🚀 Launching a High-Performance DistilBERT-Based Sentiment Analysis Model for Steam Reviews 🎮🤖
    Scikit-learn (optional): Useful for additional training or evaluation tasks. - Source: dev.to / 5 months ago
  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize data splitting tools in libraries like Scikit-learn to partition your dataset. Make sure the split mirrors the real-world distribution of your data to avoid biased evaluations. - Source: dev.to / 11 months ago
  • How to Build a Logistic Regression Model: A Spam-filter Tutorial
    Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / about 1 year ago
  • Link Prediction With node2vec in Physics Collaboration Network
    Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / almost 2 years ago
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What are some alternatives?

When comparing Skyvia and Scikit-learn, you can also consider the following products

Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Xplenty - Xplenty is the #1 SecurETL - allowing you to build low-code data pipelines on the most secure and flexible data transformation platform. No longer worry about manual data transformations. Start your free 14-day trial now.

OpenCV - OpenCV is the world's biggest computer vision library

AWS Glue - Fully managed extract, transform, and load (ETL) service

NumPy - NumPy is the fundamental package for scientific computing with Python

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