SAP Data Services vs Skyvia

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Our analysts compared SAP Data Services 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

Formerly known as BusinessObjects Data Services (BODS), it’s part of the information management layer of SAP’s Business Technology Platform. With a focus on data quality, it extracts, transforms and loads all data types to enterprise interfaces.

Dashboards enable visual analytics and display the impact of data quality issues on downstream workflows. Auto documentation allows teams to write dataflow information and add comments for collaboration. An intuitive UI and Unicode compliance provide localization across more than 190 countries. Data security is ensured with AES 128-bit encryption.

Pros:
  • Robust transformations
  • Scalable for large volumes
  • Tight SAP integration
  • Visual job design
  • Centralized governance
Cons:
  • High cost and licensing
  • Steep learning curve
  • Limited open source
  • SAP ecosystem dependence
  • Complex job maintenance
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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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$10,000 Annually
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Product Insights

  • Maximize ROI: Streamline processes and maximize efficiency. Access data where it’s stored, load and move it while ensuring optimal speed and performance. Unlock contextual insights by transforming data. 
  • Source Disparate Data: Draws data from files, XML, relational databases, web services and mainframes. Connects to big data, cloud and NoSQL systems including Amazon Web Services, Google Cloud Platform, Microsoft Azure Marketplace, SAP Cloud Platform, Vertica, MongoDB, Apache Spark on Apache Hive, Teradata and Hadoop. Aggregates unstructured data like text from Adobe PDFs, Microsoft Word, Outlook, Excel and more. 
  • Deploy Anywhere: Implement on-premise, in the cloud or go hybrid. Move existing content and assets to and from SAP Data Intelligence Cloud and use them across the enterprise. 
  • Permissions Management: Uses the Central Management Server (CMS) for users’ accounts and permissions management. Add and remove team members’ rights and manage access to repositories on a per individual basis. 
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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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  • Optimize Performance: Pushes down entire processing workflows into the source or target system for the best throughput. Partitions the data and processes it in parallel, fully independent streams. 
  • Process Unstructured Data: Reveal data relationships and interactions – the who, what, when and how of text. Unlock unstructured text data insights through natural-language processing. Understand the meaning and context of information, not just the words. 
  • Merge Datasets: Merges multiple incoming datasets into one output entity with the same schema as the incoming dataset. Performs the SQL UNION ALL operation through merge transform. 
  • Maintain Data Quality: Gain employees’ and clients’ trust with reliable, accurate, unique data. Enforce data quality standards in real time and perform quality checks before analyzing and integrating data. Embed data duplication checks into workflows and systems. See beyond errors and inconsistencies to uncover a single version of the truth. 
    • Data Profiling: Cleanse and standardize data like names, addresses, emails, phone numbers and dates. Ensure consistency of key reference data used across the organization. 
    • Master Data Management: Integrates with SAP NetWeaver MDM to provide more cleansing and matching capabilities. 
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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

#29

among all
ETL Tools

#33

among all
ETL Tools

Find out who the leaders are

Analyst Rating Summary

95
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Data Delivery
Data Transformation
Performance and Scalability
Platform Capabilities
Platform Security
Platform Security

Analyst Ratings for Functional Requirements Customize This Data Customize This Data

SAP Data Services
Skyvia
+ Add Product + Add Product
Data Delivery Data Quality Data Sources And Targets Connectivity Data Transformation Metadata Management Platform Capabilities Workflow Management 100 92 89 100 93 100 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

100%
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User Sentiment Summary

Great User Sentiment 112 reviews
Excellent User Sentiment 430 reviews
80%
of users recommend this product

SAP Data Services has a 'great' User Satisfaction Rating of 80% when considering 112 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)
3.9 (31)
4.8 (220)
n/a
4.8 (67)
4.1 (54)
4.8 (104)
4.0 (27)
4.8 (25)

Awards

SelectHub research analysts have evaluated SAP Data Services and concluded it earns best-in-class honors for Data Transformation.

Data Transformation Award

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

User Favorite Award

Synopsis of User Ratings and Reviews

Robust Data Transformations: Handles complex data cleansing, manipulation, and enrichment tasks with a wide range of built-in functions, ensuring data quality and accuracy for downstream analytics.
Tight SAP Integration: Seamlessly connects and transforms data within the SAP ecosystem, simplifying data flows and reducing integration complexity for SAP-centric organizations.
Scalable for Large Volumes: Efficiently handles high data volumes with parallel processing, data partitioning, and optimization techniques, ensuring smooth performance for growing data needs.
Visual Job Design: Intuitive drag-and-drop interface simplifies job creation and maintenance, making data integration accessible even for users with less technical expertise.
Centralized Governance: Provides centralized control and monitoring of data flows, ensuring data consistency, lineage tracking, and adherence to compliance regulations.
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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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High Cost and Licensing: Requires separate licensing fees on top of existing SAP licenses, with costs scaling based on features, user licenses, and deployment options. Can be expensive compared to open-source or alternative data integration tools.
Steep Learning Curve: Mastering the visual job design and complex data transformations can require significant training and experience, especially for users unfamiliar with the platform.
Limited Open Source: Relies heavily on proprietary SAP technologies and lacks extensive open-source integrations, potentially restricting customization and community support compared to more open platforms.
SAP Ecosystem Dependence: Tight integration with the SAP ecosystem can limit flexibility and increase costs for organizations using other data sources or platforms.
Complex Job Maintenance: Managing and maintaining complex data flows with numerous transformations and dependencies can be challenging, requiring specialized expertise.
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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 reviews of SAP Data Services paint a contrasting picture. Proponents praise its robust data transformations, seamless SAP integration, and scalability for handling large data volumes. The visual job design and centralized governance features further attract organizations needing intuitive data flow creation and efficient data lineage management. Additionally, SAP Data Services shines in SAP-centric environments, simplifying data movement within existing infrastructure. However, critics point to its high cost and complex licensing as major drawbacks, making it less compelling for organizations on a budget or using diverse data sources. The steep learning curve and limited open-source compatibility can also be hurdles, requiring dedicated training and potentially restricting customization options. Compared to open-source alternatives like Talend or Apache Airflow, SAP Data Services offers less flexibility and community support. Additionally, its tight dependence on the SAP ecosystem can add complexities and raise costs for organizations not fully invested in SAP solutions. Ultimately, SAP Data Services excels in data transformation, scalability, and seamless SAP integration, making it a powerful choice for SAP-centric organizations with complex data needs and the resources to invest in its capabilities. However, its high cost, limited open source, and SAP dependence make it less suitable for budget-conscious organizations or those seeking greater platform flexibility and broader community support.

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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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