Hevo vs Skyvia

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Our analysts compared Hevo 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

Hevo is a fully managed end-to-end data pipeline service for enterprises of all sizes. Businesses can glean proprietary insights from disparate sources that include live data from streaming devices. With its no-code interface and automated workflows, data teams can integrate business information for reporting and analytics.

It enables running minimum-impact data workflows, setting aside erroneous events and anomalous records for redressal, then assimilating them directly into the pipeline. The vendor offers a 14-day free trial while providing a few free SaaS sources to create data pipelines. Users of the Free plan have access to both free and paid sources.

Pros:
  • Cloud-based, low overhead
  • Easy-to-use interface
  • Wide range of connectors
  • Cost-effective for basic needs
  • Automated data refresh
Cons:
  • Limited customization options
  • Not ideal for complex needs
  • Scalability concerns
  • Limited data transformations
  • Limited open source integration
  • Pricing can increase with usage
  • Vendor lock-in concerns
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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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$49 Free, monthly, quote-based
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$7 Monthly
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Product Insights

  • Data Source Connectivity: Integrates with databases, SaaS systems, cloud storage, SDKs and streaming services to analyze data in multiple formats. Draws data from more than 100 sources with pre-built connectors. 
  • Deploy Seamlessly: Set up pipelines in a few minutes through a simple and interactive UI. Analyze source systems to optimize data integration calls without compromising data quality and accuracy. Replicate data utilizing minimum resources – incrementally update assets as new data comes in. 
  • Scales As Data Grows: Scales horizontally as data volumes and speed increase. Handles millions of records per minute with minimum latency, including spikes in incoming data volume. 
  • Secure Data: Protect digital assets with end-to-end encryption and two-factor authentication. The system is SOC II, GDPR and HIPAA compliant. 
  • Get Round-the-Clock Support: Reach out to vendor support for technical assistance through chat and email. 
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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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  • Data Modeling: Do more with data – create data models through a simple, visual interface and schedule to run at specific times. Ensure digital assets are always analysis-ready through materialized views within the data warehouse. 
  • Automation: Automatically manages all future data-related tasks in the pipeline – no need for ETL scripts and cron jobs. Autonomously identifies and fixes any errors detected. Ensure data flows smoothly to data repositories – detects schema changes in incoming data and replicates in destination stores. 
  • Live Monitoring: Get intelligent alerts about data sync jobs, delays and errors directly from the UI. Monitor all system logs in one place with Cloud Watch. View as data flows from sources to data warehouses. 
  • Exception Handling: Ensures no data is lost — hosts erroneous events in the replay queue and issues alerts simultaneously. Scans the replay queue for any error fixtures every few minutes, then automatically ingests the events back into the pipeline. 
  • Anomaly Detection: Spots anomalies in incoming data and notifies data teams instantly. Ensures analytics processes aren’t impacted – sets aside affected records for corrections. A fault-tolerant architecture prevents data loss in case of pipeline failures. 
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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

#28

among all
ETL Tools

#33

among all
ETL Tools

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Analyst Rating Summary

87
63
93
84
83
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65
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Performance and Scalability
Metadata Management
Data Delivery
Data Sources and Targets Connectivity
Platform Capabilities
Platform Security

Analyst Ratings for Functional Requirements Customize This Data Customize This Data

Hevo
Skyvia
+ Add Product + Add Product
Data Delivery Data Quality Data Sources And Targets Connectivity Data Transformation Metadata Management Platform Capabilities Workflow Management 93 83 90 81 96 86 84 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

Excellent User Sentiment 83 reviews
Excellent User Sentiment 430 reviews
94%
of users recommend this product

Hevo has a 'excellent' User Satisfaction Rating of 94% when considering 83 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.

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4.8 (14)
4.7 (21)
4.8 (220)
4.67 (42)
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4.8 (20)
4.8 (67)
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4.8 (104)
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4.8 (25)

Awards

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

User Favorite Award

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

User Favorite Award

Synopsis of User Ratings and Reviews

Effortless Data Integration: Pre-built connectors and user-friendly interface simplify data extraction from diverse sources without complex coding, ideal for non-technical users.
Automated Data Pipelines: Schedule data refresh automatically and ensure timely updates in your target destination, reducing manual intervention and improving data freshness.
Cloud-Based Scalability: Serverless architecture automatically scales to accommodate growing data volumes without infrastructure management, offering flexibility and cost-efficiency.
Cost-Effective for Basic Needs: Free tier and tiered pricing plans cater to various data volumes and budgets, making Hevo an attractive option for startups and small businesses.
Actionable Data Insights: Monitoring tools and alerts provide real-time visibility into pipeline performance and data quality, enabling proactive troubleshooting and informed decision-making.
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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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Customization Constraints: While pre-built connectors are convenient, advanced data manipulation needs often require more scripting and transformation options, pushing users beyond Hevo's capabilities.
Scalability Concerns for Large Data: Handling massive datasets can lead to performance issues or limitations, particularly with complex file processing, raising concerns for organizations with rapidly growing data volumes.
Vendor Lock-in Potential: Proprietary data formats and limited open-source integration might complicate migration to other platforms in the future, making it less flexible for organizations with long-term growth plans.
Pay-as-you-go Cost Fluctuations: Unpredictable data usage can lead to unexpected charges under the pay-as-you-go model, requiring careful monitoring and potentially exceeding budget limitations.
Limited Community Support: Compared to open-source alternatives, Hevo's smaller community can offer less troubleshooting support and resource availability for specific 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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Hevo user reviews paint a contrasting picture. Proponents praise its effortless data integration with pre-built connectors and a user-friendly interface, making it ideal for non-technical users and reducing the need for complex coding. Automated data pipelines and cloud-based scalability further attract users seeking timely data updates and flexible infrastructure. Additionally, Hevo's free tier and tiered pricing plans are lauded for being cost-effective, especially for startups and businesses with basic needs. However, critics point out limitations in Hevo's customization options. While its pre-built tools are convenient, users with complex data manipulation needs crave more flexibility and scripting options, citing challenges in tailoring pipelines for specific requirements. Scalability concerns also emerge for handling massive datasets, with some users reporting occasional performance issues. Additionally, Hevo's proprietary data format and limited open-source integration raise concerns about vendor lock-in, making it less suitable for organizations prioritizing future platform flexibility. Finally, the pay-as-you-go model can lead to unexpected costs for businesses with unpredictable data fluctuations. Compared to similar ETL tools like Fivetran or Stitch, Hevo shines in its user-friendliness and affordability. However, its limitations in customization, scalability for large data, and potential for vendor lock-in can be dealbreakers for complex ETL needs. Ultimately, Hevo excels in simplifying data integration for users with basic or moderate data volumes and budget constraints, but organizations with advanced requirements or demanding flexibility might need to explore alternative solutions.

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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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