DataStage vs Skyvia

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Our analysts compared DataStage 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.

DataStage Software Tool

Product Basics

DataStage assists businesses with data integration through automated extraction, transformation, and loading (ETL) processes. It excels in handling high data volumes from diverse sources, making it ideal for organizations managing complex data landscapes. Key benefits include improved data quality, streamlined analytics, and enhanced decision-making. Popular features involve visual job design, pre-built transformations, and parallel processing capabilities. User experiences within the ETL context praise DataStage's reliability, scalability, and robust job scheduling functionalities. However, its licensing model based on named user seats or processing power can be costlier compared to subscription-based alternatives. Ultimately, DataStage shines for businesses prioritizing robust ETL capabilities and data volume scalability.

Pros
  • Visual job design
  • Scalable performance
  • Robust data handling
  • Reliable data integration
  • Strong job scheduling
Cons
  • Complex to learn
  • Costly licensing model
  • Limited cloud integration
  • Potential performance issues
  • Lacks automation features
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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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$1.75/Capacity Unit-Hour (CUH)
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$7 Monthly
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Tailored to your specific needs
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Product Assistance

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Product Insights

  • Enhanced Data Integrity: Streamlines data cleansing, transformation, and validation, ensuring accuracy and consistency.
  • Faster Insights: Simplifies data preparation for analytics and reporting, accelerating time-to-value.
  • Automated Data Workflows: Automates repetitive ETL tasks, freeing up resources for higher-value activities.
  • Handles High Data Volumes: Efficiently processes large and complex datasets, enabling scalability for future growth.
  • Connects Diverse Data Sources: Integrates data from various sources, including relational databases, flat files, and cloud applications.
  • Improved Data Lineage: Provides clear traceability of data flow, ensuring compliance and data security.
  • Adapts to Evolving Needs: Offers a flexible platform to adapt to changing data requirements and business needs.
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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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  • Visual Job Design: Drag-and-drop interface for creating and managing ETL workflows.
  • Pre-Built Transformations: Library of common data transformations to simplify complex tasks.
  • Parallel Processing: Distributes data processing across multiple servers for faster performance.
  • Data Quality Tools: Built-in capabilities to cleanse, validate, and profile data.
  • Metadata Management: Centralized repository for managing data definitions and lineage.
  • Scalability: Handles increasing data volumes and complexity efficiently.
  • Security: Protects sensitive data with encryption and access controls.
  • Integration with Other Tools: Interoperability with various data sources, targets, and BI tools.
  • Cloud Deployment: Available as a cloud-based solution for flexibility and scalability.
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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

#22

among all
ETL Tools

#33

among all
ETL Tools

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Analyst Rating Summary

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Metadata Management
Performance and Scalability
Platform Capabilities
Platform Security
Data Delivery
Platform Security

Analyst Ratings for Functional Requirements Customize This Data Customize This Data

DataStage
Skyvia
+ Add Product + Add Product
Data Delivery Data Quality Data Sources And Targets Connectivity Data Transformation Metadata Management Platform Capabilities Workflow Management 97 97 70 94 100 100 96 84 27 65 68 16 79 71 0 25 50 75 100
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Analyst Ratings for Technical Requirements Customize This Data Customize This Data

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User Sentiment Summary

Great User Sentiment 208 reviews
Excellent User Sentiment 430 reviews
85%
of users recommend this product

DataStage has a 'great' User Satisfaction Rating of 85% when considering 208 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)
4.0 (69)
4.8 (220)
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4.8 (67)
4.4 (104)
4.8 (104)
4.2 (35)
4.8 (25)

Awards

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

User Favorite Award

Synopsis of User Ratings and Reviews

Efficient Handling of Large Datasets: Parallel processing capabilities enable DataStage to distribute tasks across multiple servers, significantly speeding up the processing of large datasets.
Robust Error Handling and Logging: Users appreciate the built-in error handling mechanisms and logging features for identifying and troubleshooting issues effectively.
Data Quality Tools and Lineage Tracking: DataStage offers a range of data quality tools and transformers, along with staging tables and lineage tracking, to ensure data consistency and traceability.
Flexible Scheduling and Monitoring: Users find the Job Conductor's flexibility in scheduling jobs, as well as the real-time monitoring dashboards and email alerts, to be valuable for managing ETL workflows.
Extensive Connectivity Options: The ability to seamlessly integrate with various databases, cloud platforms, and enterprise applications through built-in and third-party adapters is a key advantage for many users.
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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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Steep Learning Curve: Users often cite the complex interface and extensive features as having a steep learning curve, requiring dedicated training and experience to master.
Debugging Challenges: Troubleshooting errors in complex DataStage jobs can be time-consuming, as the debugging tools can be limited and intricate to navigate.
Potential Performance Issues: While parallel processing is a strength, inefficient job design or resource constraints can lead to performance bottlenecks, requiring careful optimization.
Licensing Costs: The licensing model can be seen as expensive, especially for large-scale deployments or cloud-based environments.
Limited Cloud Integration: While connectivity options exist, native integration with cloud platforms and services could be more seamless, as some users find it challenging to leverage cloud resources effectively within DataStage.
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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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User opinions on DataStage paint a contrasting picture. On the one hand, it earns praise for its sheer power and versatility. Its parallel processing muscles tackle massive datasets with ease, while its robust error handling and data quality tools keep pipelines flowing smoothly. Integration with diverse data sources, from legacy databases to cloud platforms, is another major plus, making it a one-stop shop for complex ETL needs. These strengths are especially valuable for large enterprises with intricate data landscapes. However, DataStage's complexity can be a double-edged sword. Its feature-rich interface and steep learning curve can intimidate newcomers, and troubleshooting intricate jobs can be a puzzle. Users also point to occasional performance hiccups, highlighting the need for careful optimization under heavy workloads. Additionally, while cloud connectivity exists, some find it less seamless compared to native cloud-based ETL tools, which might not be ideal for organizations prioritizing cloud agility. When compared to competitors, DataStage shines in its scalability and feature depth. For handling massive data volumes and complex transformations, it stands out. However, for smaller-scale needs or organizations prioritizing ease of use and native cloud integration, lighter-weight ETL options might be more appealing. Ultimately, the choice boils down to individual priorities and project complexity. DataStage remains a powerful beast, but acknowledging its learning curve and potential cloud limitations is crucial for a balanced evaluation.

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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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