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Skyvia VS Apache Storm

Compare Skyvia VS Apache Storm and see what are their differences

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Contents:
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Skyvia logo Skyvia

Free cloud data platform for data integration, backup & management

Apache Storm logo Apache Storm

Apache Storm is a free and open source distributed realtime computation system.
  • Skyvia Landing page
    Landing page //
    2023-09-12
  • Apache Storm Landing page
    Landing page //
    2019-03-11

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.

Apache Storm features and specs

  • Real-Time Processing
    Apache Storm is designed for processing data in real-time, which makes it ideal for applications like fraud detection, recommendation systems, and monitoring tools.
  • Scalability
    Storm is capable of scaling horizontally, allowing it to handle increasing amounts of data by adding more nodes, making it suitable for large-scale applications.
  • Fault Tolerance
    Storm provides robust fault-tolerance mechanisms by rerouting tasks from failed nodes to operational ones, ensuring continuous processing.
  • Broad Language Support
    Apache Storm supports multiple programming languages, including Java, Python, and Ruby, allowing developers to use the language they are most comfortable with.
  • Open Source Community
    Being an Apache project, Storm benefits from a strong open-source community, which contributes to its development and offers abundant resources and support.

Possible disadvantages of Apache Storm

  • Complex Setup
    Setting up and configuring Apache Storm can be complex and time-consuming, requiring detailed knowledge of its architecture and the underlying infrastructure.
  • High Learning Curve
    The architecture and components of Storm can be difficult for new users to grasp, leading to a steeper learning curve compared to some other streaming platforms.
  • Maintenance Overhead
    Managing and maintaining a Storm cluster can require significant effort, including monitoring, troubleshooting, and scaling the infrastructure.
  • Error Handling
    While Storm is fault-tolerant, its error handling at the application level can sometimes be challenging, requiring careful design to manage failures effectively.
  • Resource Intensive
    Storm can be resource-intensive, particularly in terms of memory and CPU usage, which can lead to increased costs and necessitate powerful hardware.

Analysis of Skyvia

Overall verdict

  • Skyvia is a reliable and effective tool for businesses looking to manage and integrate their data seamlessly without requiring extensive technical knowledge.

Why this product is good

  • Skyvia is considered a good option for data integration and management because it offers a user-friendly interface, no-code solutions, and a wide range of connectors for various data sources. It supports data integration, backup, replication, and sharing, making it versatile for different business needs. Additionally, it provides flexible pricing plans, allowing businesses of different sizes to benefit from its services.

Recommended for

  • Small to medium-sized businesses looking for cost-effective data integration solutions
  • Organizations that need to connect different cloud services and databases
  • Business users and analysts who prefer no-code platforms
  • Companies seeking data backup and replication tools
  • Teams requiring an easy-to-use, intuitive interface for data operations

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

Apache Storm videos

+ Add

Apache Storm Tutorial For Beginners | Apache Storm Training | Apache Storm Example | Edureka

More videos:

  • Review - Developing Java Streaming Applications with Apache Storm
  • Review - Atom Text Editor Option - Real-Time Analytics with Apache Storm

Category Popularity

0-100% (relative to Skyvia and Apache Storm)

Skyvia

Apache Storm

Web Service Automation
100 100%
Web Service Automation
0% 0
Big Data
0 0%
Big Data
100% 100
Data Integration
100 100%
Data Integration
0% 0
Stream Processing
0 0%
Stream Processing
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 Apache Storm

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

Apache Storm Reviews

Top 15 Kafka Alternatives Popular In 2021
Apache Storm is a recognized, distributed, open-source real-time computational system. It is free, simple to use, and helps in easily and accurately processing multiple data streams in real-time. Because of its simplicity, it can be utilized with any programming language and that is one reason it is a developer’s preferred choice. It is fast, scalable, and integrates well...
Source: www.spec-india.com
5 Best-Performing Tools that Build Real-Time Data Pipeline
Apache Storm is an open-source distributed real-time computational system for processing data streams. Similar to what Hadoop does for batch processing, Apache Storm does for unbounded streams of data in a reliable manner. Built by Twitter, Apache Storm specifically aims at the transformation of data streams. Storm has many use cases like real-time analytics, online machine...
Source: www.analyticsinsight.net

Social recommendations and mentions

Based on our record, Apache Storm should be more popular than Skyvia. It has been mentiond 11 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.

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

Apache Storm mentions (11)

  • Data Engineering and DataOps: A Beginner's Guide to Building Data Solutions and Solving Real-World Challenges
    There are several frameworks available for batch processing, such as Hadoop, Apache Storm, and DataTorrent RTS. - Source: dev.to / over 2 years ago
  • Real Time Data Infra Stack
    Although this article lists a lot of targets for technical selection, there are definitely others that I haven't listed, which may be either outdated, less-used options such as Apache Storm or out of my radar from the beginning, like JAVA ecosystem. - Source: dev.to / over 2 years ago
  • In One Minute : Hadoop
    Storm, a system for real-time and stream processing. - Source: dev.to / over 2 years ago
  • Elon Musk reportedly wants to fire 75% of Twitter’s employees
    Google has scaled well and has helped others scale, Twitter has always been behind by years. I think the only thing they did well was Twitter Storm, now taken up by Apache Foundation. Source: over 2 years ago
  • Spark for beginners - and you
    Streaming: Sparks Streamings's latency is at least 500ms, since it operates on micro-batches of records, instead of processing one record at a time. Native streaming tools like Storm, Apex or Flink might be better for low-latency applications. - Source: dev.to / over 3 years ago
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What are some alternatives?

When comparing Skyvia and Apache Storm, 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.

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

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.

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

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

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

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