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Apache Flink VS Skyvia

Compare Apache Flink VS Skyvia and see what are their differences

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Apache Flink logo Apache Flink

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

Skyvia logo Skyvia

Free cloud data platform for data integration, backup & management
  • Apache Flink Landing page
    Landing page //
    2023-10-03
  • Skyvia Landing page
    Landing page //
    2023-09-12

Apache Flink features and specs

  • Real-time Stream Processing
    Apache Flink is designed for real-time data streaming, offering low-latency processing capabilities that are essential for applications requiring immediate data insights.
  • Event Time Processing
    Flink supports event time processing, which allows it to handle out-of-order events effectively and provide accurate results based on the time events actually occurred rather than when they were processed.
  • State Management
    Flink provides robust state management features, making it easier to maintain and query state across distributed nodes, which is crucial for managing long-running applications.
  • Fault Tolerance
    The framework includes built-in mechanisms for fault tolerance, such as consistent checkpoints and savepoints, ensuring high reliability and data consistency even in the case of failures.
  • Scalability
    Apache Flink is highly scalable, capable of handling both batch and stream processing workloads across a distributed cluster, making it suitable for large-scale data processing tasks.
  • Rich Ecosystem
    Flink has a rich set of APIs and integrations with other big data tools, such as Apache Kafka, Apache Hadoop, and Apache Cassandra, enhancing its versatility and ease of integration into existing data pipelines.

Possible disadvantages of Apache Flink

  • Complexity
    Flink’s advanced features and capabilities come with a steep learning curve, making it more challenging to set up and use compared to simpler stream processing frameworks.
  • Resource Intensive
    The framework can be resource-intensive, requiring substantial memory and CPU resources for optimal performance, which might be a concern for smaller setups or cost-sensitive environments.
  • Community Support
    While growing, the community around Apache Flink is not as large or mature as some other big data frameworks like Apache Spark, potentially limiting the availability of community-contributed resources and support.
  • Ecosystem Maturity
    Despite its integrations, the Flink ecosystem is still maturing, and certain tools and plugins may not be as developed or stable as those available for more established frameworks.
  • Operational Overhead
    Running and maintaining a Flink cluster can involve significant operational overhead, including monitoring, scaling, and troubleshooting, which might require a dedicated team or additional expertise.

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.

Analysis of Apache Flink

Overall verdict

  • Yes, Apache Flink is considered a good distributed stream processing framework.

Why this product is good

  • ["rich API", "Flink offers a rich set of APIs for various levels of abstraction, catering to different needs of developers."]
  • ["scalability", "Flink provides excellent horizontal scalability, making it suitable for handling large data streams and high-throughput applications."]
  • ["fault tolerance", "Flink's checkpointing mechanism ensures fault-tolerance, maintaining data state consistency even after failures."]
  • ["ease of integration", "Flink integrates well with other big data tools and ecosystems, facilitating broader data architecture designs."]
  • ["real-time processing", "It excels at processing data in real-time, allowing for immediate insights and action on streaming data."]
  • ["community and support", "Being a part of the Apache Software Foundation, Flink benefits from a large community and comprehensive documentation."]
  • ["complex event processing", "It supports complex event processing, which is essential for many real-time applications."]

Recommended for

  • real-time analytics
  • stream data processing
  • complex event processing
  • machine learning in streaming applications
  • applications requiring high-throughput and low-latency processing
  • companies looking for robust fault-tolerance in distributed systems

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

Apache Flink videos

+ Add

GOTO 2019 • Introduction to Stateful Stream Processing with Apache Flink • Robert Metzger

More videos:

  • Tutorial - Apache Flink Tutorial | Flink vs Spark | Real Time Analytics Using Flink | Apache Flink Training
  • Tutorial - How to build a modern stream processor: The science behind Apache Flink - Stefan Richter

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

Category Popularity

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

Apache Flink

Skyvia

Big Data
100 100%
Big Data
0% 0
Data Integration
0 0%
Data Integration
100% 100
Stream Processing
100 100%
Stream Processing
0% 0
Web Service Automation
0 0%
Web Service Automation
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 Apache Flink and Skyvia

Apache Flink Reviews

We have no reviews of Apache Flink yet.
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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

Social recommendations and mentions

Based on our record, Apache Flink seems to be a lot more popular than Skyvia. While we know about 41 links to Apache Flink, 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.

Apache Flink mentions (41)

  • What is Apache Flink? Exploring Its Open Source Business Model, Funding, and Community
    Continuous Learning: Leverage online tutorials from the official Flink website and attend webinars for deeper insights. - Source: dev.to / 15 days ago
  • Is RisingWave the Next Apache Flink?
    Apache Flink, known initially as Stratosphere, is a distributed stream processing engine initiated by a group of researchers at TU Berlin. Since its initial release in May 2011, Flink has gained immense popularity in both academia and industry. And it is currently the most well-known streaming system globally (challenge me if you think I got it wrong!). - Source: dev.to / 28 days ago
  • Every Database Will Support Iceberg — Here's Why
    Apache Iceberg defines a table format that separates how data is stored from how data is queried. Any engine that implements the Iceberg integration — Spark, Flink, Trino, DuckDB, Snowflake, RisingWave — can read and/or write Iceberg data directly. - Source: dev.to / about 1 month ago
  • RisingWave Turns Four: Our Journey Beyond Democratizing Stream Processing
    The last decade saw the rise of open-source frameworks like Apache Flink, Spark Streaming, and Apache Samza. These offered more flexibility but still demanded significant engineering muscle to run effectively at scale. Companies using them often needed specialized stream processing engineers just to manage internal state, tune performance, and handle the day-to-day operational challenges. The barrier to entry... - Source: dev.to / about 1 month ago
  • Twitter's 600-Tweet Daily Limit Crisis: Soaring GCP Costs and the Open Source Fix Elon Musk Ignored
    Apache Flink: Flink is a unified streaming and batching platform developed under the Apache Foundation. It provides support for Java API and a SQL interface. Flink boasts a large ecosystem and can seamlessly integrate with various services, including Kafka, Pulsar, HDFS, Iceberg, Hudi, and other systems. - Source: dev.to / about 2 months ago
View more

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

What are some alternatives?

When comparing Apache Flink and Skyvia, you can also consider the following products

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

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

Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.

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.

Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

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

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