Dataflow vs Skyvia

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Our analysts compared Dataflow vs Skyvia based on data from our 400+ point analysis of ETL Tools, user reviews and our own crowdsourced data from our free software selection platform.

Product Basics

Dataflow, a streaming analytics software, ingests and processes high-volume, real-time data streams. Imagine it as a powerful pipeline continuously analyzing incoming data, enabling you to react instantly to insights. It caters to businesses needing to analyze data in motion, like financial institutions tracking stock prices or sensor-driven applications monitoring equipment performance. Dataflow's key benefits include scalability to handle massive data volumes, flexibility to adapt to various data sources and analysis needs, and unified processing for both batch and real-time data. Popular features involve visual interface for building data pipelines, built-in machine learning tools for pattern recognition, and seamless integration with other cloud services. Compared to similar products, user experiences highlight Dataflow's ease of use, cost-effectiveness (pay-per-use based on data processed), and serverless architecture, eliminating infrastructure management overheads. However, some users mention limitations in customizability and occasional processing delays for complex workloads.

Pros
  • Easy to use
  • Cost-effective
  • Serverless architecture
  • Scalable
  • Flexible
Cons
  • Limited customization
  • Occasional processing delays
  • Learning curve for complex pipelines
  • Could benefit from more built-in templates
  • Dependency on other cloud services
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Skyvia is a cloud-based data integration solution from Devart. Hosted on Azure, it has query, connect and backup capabilities. Automated workflows and a visual query wizard simplify ETL and data pipelines.

Users can set it up to accept data when a user clicks on a website or makes a selection in an application. It’s called event-based data ingestion. The vendor offers monthly subscriptions based on the volume of processed data.

  • Pros
  • Easy to use
  • Visual data pipelines
  • User-friendly interface
  • Balance of features & ease
  • Cons
  • Limited coding options
  • Fewer integrations compared to some
  • May not be ideal for complex needs
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$1/250GB of Processed Data
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$7 Monthly
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Tailored to your specific needs
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we're gathering data
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Telenor

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Product Insights

  • Reduce TCO: Manage seasonal and spiky task overloads by autoscaling resources as per the task load. Reduce batch-processing costs by using advanced job scheduling and shuffling techniques. 
  • Go Serverless: Do away with operational overhead from data engineering tasks. Allow teams to focus on coding, instead of managing server clusters. 
  • Integrate All Data: Replicates data from Google Cloud Storage into BigQuery, PostgreSQL or Cloud Spanner. Ingest data changes from MySQL, SQL Server and Db2.
  • Drive Analytics with AI: Build ML-powered data pipelines through support for TensorFlow Extended (TFX). Enables predictive analytics, fraud detection, real-time personalization and more. 
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  • Stay Competitive: Get excellent performance with high fault tolerance, thanks to the Azure cloud. It can scale by adding resources and can manage workloads efficiently.
  • Improve Decision-Making: Make informed decisions with accurate data, thanks to automatic updates, scheduled refreshes and incremental loading. Export reports to CSV files and FTP/SFTP servers.
  • Gain Timely Insights: Get accurate data from a single source of truth — a unified data store. Trust automated workflows to deliver data on time. Uncover new information with filters, joins, and string and date-time functions.
  • Act: Hit the ground running with pipeline templates or build new ones with the data flow designer. A visual query builder makes data access easy, while a code editor serves developers who want more control.
  • Secure Data: Encrypt data at rest and in motion and prepare record-wise logs for easy troubleshooting. GDPR, HIPAA and SOC compliance and access controls (MFA, SSO, RBAC) ensure that only authorized users see the necessary information.
  • Stay Connected to Data: Access from anywhere with an internet connection. It’s software-as-a-service, so it avoids the expense of on-premise infrastructure and software installation.
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  • Pipeline Authoring: Build data processing workflows with ML capabilities through Google’s Vertex AI Notebooks and deploy with the Dataflow runner. Design Apache Beam pipelines in a read-eval-print-loop (REVL) workflow. 
    • Templates: Run data processing tasks with Google-provided templates. Package the pipeline into a Docker image, then save as a Flex template in Cloud Storage to reuse and share with others. 
  • Streaming Analytics: Join streaming data from publish/subscribe (Pub/Sub) messaging systems with files in Cloud Storage and tables in BigQuery. Build real-time dashboards with Google Sheets and other BI tools. 
  • Workload Optimization: Automatically partitions data inputs and consistently rebalances for optimal performance. Reduces the impact of hot keys on pipeline functioning. 
    • Horizontal Autoscaling:  Automatically chooses and reallocates the number of worker instances required to run the job. 
    • Task Shuffling: Moves pipeline tasks out of the worker VMs into the backend, separating compute from state storage. 
  • Security: Turn off public IPs; secure data with a customer-managed encryption key (CMEK). Mitigate the risk of data exfiltration by integrating with VPC Service Controls. 
  • Pipeline Monitoring: Monitor job status, view execution details and receive result updates through the monitoring or command-line interface. Troubleshoot batch and streaming pipelines with inline monitoring. Set alerts for exceptions like stale data and high system latency. 
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  • Event-Based Data Ingestion: Pull data from several sources using Skyvia Automation. Set up ingestion tasks to trigger per a schedule or after an event happens.
  • Bulk Loading: Loads large volumes or full data dumps from a source into a database. The vendor provides a Use Bulk Import checkbox with every connection popup.
  • Bidirectional Updates: Tracks the latest modifications with change data capture (CDC). It keeps data updated in both directions—from the source to the target and from the target to the source.
  • Functions: Convert data to a usable format with string and mathematical functions. The vendor provides date-time, lookup, join and filter functions. Map a single table to several related tables and create new values as desired.
  • Audit Trails: Stores logs of successfully loaded records for specific integrations and connections. It also retains records of failed integration attempts.
  • Data Encryption: Use AES 256-bit encryption to hide sensitive data at rest and when it's on the move. Additionally, the TLS protocol secures the data end-to-end.
  • Role-Based Access Control: Set up role-based users — admin, developer, member and supporter — at the workspace level. Administrators can create custom roles if they want.
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Product Ranking

#15

among all
ETL Tools

#33

among all
ETL Tools

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Analyst Rating Summary

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63
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65
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Data Transformation
Metadata Management
Platform Security
Workflow Management
Data Delivery
Platform Security

Analyst Ratings for Functional Requirements Customize This Data Customize This Data

Dataflow
Skyvia
+ Add Product + Add Product
Data Delivery Data Quality Data Sources And Targets Connectivity Data Transformation Metadata Management Platform Capabilities Workflow Management 93 78 92 100 100 0 100 84 27 65 68 16 79 71 0 25 50 75 100
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86%
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we're gathering data
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we're gathering data
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86%
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14%
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Analyst Ratings for Technical Requirements Customize This Data Customize This Data

we're gathering data
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User Sentiment Summary

Great User Sentiment 106 reviews
Excellent User Sentiment 430 reviews
86%
of users recommend this product

Dataflow has a 'great' User Satisfaction Rating of 86% when considering 106 user reviews from 3 recognized software review sites.

96%
of users recommend this product

Skyvia has a 'excellent' User Satisfaction Rating of 96% when considering 430 user reviews from 5 recognized software review sites.

n/a
4.8 (14)
4.1 (31)
4.8 (220)
n/a
4.8 (67)
4.4 (59)
4.8 (104)
4.2 (16)
4.8 (25)

Awards

SelectHub research analysts have evaluated Dataflow and concluded it earns best-in-class honors for Data Transformation and Workflow Management.

Data Transformation Award
Workflow Management Award

Skyvia stands above the rest by achieving an ‘Excellent’ rating as a User Favorite.

User Favorite Award

Synopsis of User Ratings and Reviews

Ease of use: Users consistently praise Dataflow's intuitive interface, drag-and-drop pipeline building, and visual representations of data flows, making it accessible even for those without extensive coding experience.
Cost-effectiveness: Dataflow's pay-as-you-go model is highly appealing, as users only pay for the compute resources they actually use, aligning costs with data processing needs and avoiding upfront infrastructure investments.
Serverless architecture: Users appreciate Dataflow's ability to automatically scale resources based on workload, eliminating the need for manual provisioning and management of servers, reducing operational overhead and streamlining data processing.
Scalability: Dataflow's ability to seamlessly handle massive data volumes and fluctuating traffic patterns is highly valued by users, ensuring reliable performance even during peak usage periods or when dealing with large datasets.
Integration with other cloud services: Users find Dataflow's integration with other cloud services, such as storage, BigQuery, and machine learning tools, to be a significant advantage, enabling the creation of comprehensive data pipelines and analytics workflows within a unified ecosystem.
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Easy to Use: Many users praised its functionality for moving data from source to target systems and building pipelines independently.
Improved Data Integration: Users said readymade connections make it easy to pull data from cloud applications and databases.
Automated Data Workflows: Users appreciated the freedom to set up pipelines to run later. It frees them up to focus on high-level tasks.
Enhanced Data Accessibility: Users who reviewed data access said common storage gives everyone the same data to work with and avoids misdirected decisions.
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Limited customization: Some users express constraints in tailoring certain aspects of Dataflow's behavior to precisely match specific use cases, potentially requiring workarounds or compromises.
Occasional processing delays: While generally efficient, users have reported occasional delays in processing, especially with complex pipelines or during periods of high data volume, which could impact real-time analytics.
Learning curve for complex pipelines: Building intricate Dataflow pipelines can involve a steeper learning curve, especially for those less familiar with Apache Beam concepts or distributed data processing principles.
Dependency on other cloud services: Dataflow's seamless integration with other cloud services is also seen as a potential drawback by some users, as it can increase vendor lock-in and limit portability across different cloud platforms.
Need for more built-in templates: Users often request a wider range of pre-built templates and integrations with external data sources to accelerate pipeline development and streamline common use cases.
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Limited Coding Options for Complex Transformations: While Skyvia boasts a friendly interface, complex data manipulations require coding knowledge. If teams don't know how to code, it can block them from performing deep analysis or building pipelines.
Fewer Integrations Compared to Some Competitors: It offers over 180 connectors, but if users need to connect to other sources, they might need workarounds.
May Not Be Ideal for Highly Scalable or Complex Needs: It works best with moderate data volumes, but users might need something more for large datasets and complex needs.
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Dataflow, a cloud-based streaming analytics platform, garners praise for its ease of use, scalability, and cost-effectiveness. Users, particularly those new to streaming analytics or with limited coding experience, appreciate the intuitive interface and visual pipeline building, making it a breeze to get started compared to competitors that require more programming expertise. Additionally, Dataflow's serverless architecture and pay-as-you-go model are highly attractive, eliminating infrastructure management burdens and aligning costs with actual data processing needs, unlike some competitors with fixed costs or complex pricing structures. However, Dataflow isn't without its drawbacks. Some users find it less customizable than competing solutions, potentially limiting its suitability for highly specific use cases. Occasional processing delays, especially for intricate pipelines or high data volumes, can also be a concern, impacting real-time analytics capabilities. Furthermore, while Dataflow integrates well with other Google Cloud services, this tight coupling can restrict portability to other cloud platforms, something competitors with broader cloud compatibility might offer. Ultimately, Dataflow's strengths in user-friendliness, scalability, and cost-effectiveness make it a compelling choice for those new to streaming analytics or seeking a flexible, cost-conscious solution. However, its limitations in customization and potential processing delays might necessitate exploring alternatives for highly specialized use cases or mission-critical, real-time analytics.

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Skyvia stands out for its user-friendly interface. With drag-and-drop features, anyone can connect to data sources and build pipelines, which is a big plus compared to some trickier tools that require coding.But there's a catch — the vendor keeps things simple, so it might not be the best for super complex data transformations. It has connectors for many popular apps, but some users felt the vendor should offer more options.It could be a problem for businesses that need to connect to specific data sources or want advanced functionality. Reviews also said it works great for medium data volumes.Its automatic workflows streamline data transfer and analysis while freeing workers for high-level tasks.Overall, Skyvia is a good fit for businesses that want an easy-to-use tool to integrate their data, automate tasks and gain insights without needing IT help.

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