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Skyvia VS Google Cloud Dataflow

Compare Skyvia VS Google Cloud Dataflow and see what are their differences

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Skyvia logo Skyvia

Free cloud data platform for data integration, backup & management

Google Cloud Dataflow logo Google Cloud Dataflow

Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
  • Skyvia Landing page
    Landing page //
    2023-09-12
  • Google Cloud Dataflow Landing page
    Landing page //
    2023-10-03

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.

Google Cloud Dataflow features and specs

  • Scalability
    Google Cloud Dataflow can automatically scale up or down depending on your data processing needs, handling massive datasets with ease.
  • Fully Managed
    Dataflow is a fully managed service, which means you don't have to worry about managing the underlying infrastructure.
  • Unified Programming Model
    It provides a single programming model for both batch and streaming data processing using Apache Beam, simplifying the development process.
  • Integration
    Seamlessly integrates with other Google Cloud services like BigQuery, Cloud Storage, and Bigtable.
  • Real-time Analytics
    Supports real-time data processing, enabling quicker insights and facilitating faster decision-making.
  • Cost Efficiency
    Pay-as-you-go pricing model ensures you only pay for resources you actually use, which can be cost-effective.
  • Global Availability
    Cloud Dataflow is available globally, which allows for regionalized data processing.
  • Fault Tolerance
    Built-in fault tolerance mechanisms help ensure uninterrupted data processing.

Possible disadvantages of Google Cloud Dataflow

  • Steep Learning Curve
    The complexity of using Apache Beam and understanding its model can be challenging for beginners.
  • Debugging Difficulties
    Debugging data processing pipelines can be complex and time-consuming, especially for large-scale data flows.
  • Cost Management
    While it can be cost-efficient, the costs can rise quickly if not monitored properly, particularly with real-time data processing.
  • Vendor Lock-in
    Using Google Cloud Dataflow can lead to vendor lock-in, making it challenging to migrate to another cloud provider.
  • Limited Support for Non-Google Services
    While it integrates well within Google Cloud, support for non-Google services may not be as robust.
  • Latency
    There can be some latency in data processing, especially when dealing with high volumes of data.
  • Complexity in Pipeline Design
    Designing pipelines to be efficient and cost-effective can be complex, requiring significant expertise.

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

Google Cloud Dataflow videos

+ Add

Introduction to Google Cloud Dataflow - Course Introduction

More videos:

  • Review - Serverless data processing with Google Cloud Dataflow (Google Cloud Next '17)
  • Review - Apache Beam and Google Cloud Dataflow

Category Popularity

0-100% (relative to Skyvia and Google Cloud Dataflow)

Skyvia

Google Cloud Dataflow

Data Integration
100 100%
Data Integration
0% 0
Big Data
0 0%
Big Data
100% 100
Web Service Automation
100 100%
Web Service Automation
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100

User comments

Share your experience with using Skyvia and Google Cloud Dataflow. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Skyvia and Google Cloud Dataflow

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

Google Cloud Dataflow Reviews

Top 8 Apache Airflow Alternatives in 2024
Google Cloud Dataflow is highly focused on real-time streaming data and batch data processing from web resources, IoT devices, etc. Data gets cleansed and filtered as Dataflow implements Apache Beam to simplify large-scale data processing. Such prepared data is ready for analysis for Google BigQuery or other analytics tools for prediction, personalization, and other purposes.
Source: blog.skyvia.com

Social recommendations and mentions

Based on our record, Google Cloud Dataflow should be more popular than Skyvia. It has been mentiond 14 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

Google Cloud Dataflow mentions (14)

  • How do you implement CDC in your organization
    Imo if you are using the cloud and not doing anything particularly fancy the native tooling is good enough. For AWS that is DMS (for RDBMS) and Kinesis/Lamba (for streams). Google has Data Fusion and Dataflow . Azure hasData Factory if you are unfortunate enough to have to use SQL Server or Azure. Imo the vendored tools and open source tools are more useful when you need to ingest data from SaaS platforms, and... Source: over 2 years ago
  • Here’s a playlist of 7 hours of music I use to focus when I’m coding/developing. Post yours as well if you also have one!
    This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: over 2 years ago
  • How are view/listen counts rolled up on something like Spotify/YouTube?
    I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: over 2 years ago
  • Best way to export several GCP datasets to AWS?
    You can run a Dataflow job that copies the data directly from BQ into S3, though you'll have to run a job per table. This can be somewhat expensive to do. Source: over 2 years ago
  • Why we don’t use Spark
    It was clear we needed something that was built specifically for our big-data SaaS requirements. Dataflow was our first idea, as the service is fully managed, highly scalable, fairly reliable and has a unified model for streaming & batch workloads. Sadly, the cost of this service was quite large. Secondly, at that moment in time, the service only accepted Java implementations, of which we had little knowledge... - Source: dev.to / about 3 years ago
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What are some alternatives?

When comparing Skyvia and Google Cloud Dataflow, 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.

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

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 EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

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

Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

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