Informatica PowerCenter vs Skyvia

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Our analysts compared Informatica PowerCenter 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

Informatica PowerCenter is data integration software for enterprises of all sizes with connectors and metadata. It relies on robust business logic to deliver data on demand.

For cloud users, the vendor offers connectivity to Amazon S3, Microsoft Azure Blob Storage and Google Cloud Storage. It also reads data residing on mainframe systems using PowerCenterExchange and connects to big data platforms like Hadoop and HDFS.

The vendor enables businesses to move PowerCenter loads to the cloud. What's more, AI and automation can drive 95% of cloud upgrades if businesses opt for them. It scales to validate data quality, perform fuzzy matches and identify data anomalies in the cloud.

Pros
  • User-friendly
  • Wide range of connectors
  • Scalable and reliable
  • Robust security features
  • Integrates with Informatica suite
Cons
  • Steeper learning curve
  • Can be expensive
  • Performance issues with large datasets
  • Limited cloud app support
  • Complex to manage
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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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we're gathering data
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Product Assistance

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Product Insights

  • Automate Workflows: Ditch the manual grind and leave the nitty-gritty to automation. Once set up, it performs ETL without needing the IT team.
  • Accelerate Insight: Make informed decisions based on hardcore data. Readymade connectors and a graphical UI speed up otherwise complex data integration tasks.
  • Reduce Costs: Cut the overheads due to bad data and grow your business with accurate and reliable insight. Minimize errors and related costs, thanks to its inherent data quality features. Reduce testing time by 50 to 90 percent with automation.
  • Improve Outcomes: Grab opportunities with confidence and turn them into profit-making ventures. Thanks to data quality checks, it pushes accurate and reliable data to downstream processes.
  • Streamline Decisions: Drive a data culture and encourage users to work independently with reports and dashboards. Promote decision-making across the organization.
  • Enhance Offerings: Deliver tailored products based on buyer needs and preferences. This approach combines information from several sources, giving a complete picture of how people perceive the product.
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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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  • Prototyping: Test data flows by building a preview version before creating the final workflow.
  • In-Production Testing: Identify issues early by checking data quality in production workflows.
  • Data Transformation: Interpret various data formats like XML, PDF, JSON and IoT data.
  • Live Analytics: Respond to market changes proactively using the latest insight, thanks to change data capture. Handles large volumes with dynamic partitioning and scalability.
  • Scalability: Handle growing data sizes, types, sources, projects and users without breaking into a sweat.
  • Collaboration: Gain visibility into where data originated and which processes it underwent before reaching the system. Analyze the possible impact of a decision before signing off on it. Keep business and IT teams on the same page with shared metadata.
  • Early Warning: Spot glitches and improper usage of resources early on. Get alerts when something goes wrong with data integration processes.
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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

#20

among all
ETL Tools

#33

among all
ETL Tools

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Analyst Rating Summary

96
63
100
84
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27
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65
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Data Delivery
Data Quality
Metadata Management
Platform Security
Workflow Management
Platform Security

Analyst Ratings for Functional Requirements Customize This Data Customize This Data

Informatica PowerCenter
Skyvia
+ Add Product + Add Product
Data Delivery Data Quality Data Sources And Targets Connectivity Data Transformation Metadata Management Platform Capabilities Workflow Management 100 100 94 91 100 0 100 84 27 65 68 16 79 71 0 25 50 75 100
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80%
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Analyst Ratings for Technical Requirements Customize This Data Customize This Data

we're gathering data
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83%
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User Sentiment Summary

Great User Sentiment 773 reviews
Excellent User Sentiment 430 reviews
85%
of users recommend this product

Informatica PowerCenter has a 'great' User Satisfaction Rating of 85% when considering 773 user reviews from 4 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)
4.4 (83)
4.8 (220)
4.5 (41)
4.8 (67)
4.3 (557)
4.8 (104)
3.9 (92)
4.8 (25)

Awards

SelectHub research analysts have evaluated Informatica PowerCenter and concluded it earns best-in-class honors for Workflow Management.

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

User-Friendly: Dragging and dropping fields and screen elements make daily data tasks simple, though building custom functions might require more effort.
Extensive Connectivity: Pre-made connectors seamlessly link to databases, files, cloud apps and legacy systems.
Data Quality Management: Built-in tools find and fix errors and duplicates in data, keeping it accurate and reliable.
Scalability: Works efficiently with massive volumes of data using parallel processing and optimization techniques, making it perfect for big businesses.
Data Security: Access controls, encryption and activity tracking protect sensitive information.
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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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Learning Curve: While it’s easy to perform basic tasks, mastering some advanced features and fixing complicated problems can be tricky.
Cost: It can be expensive, especially for smaller companies. Though small businesses don’t have vast data sizes, the deployment model and selected features can inflate the price.
Slowdown with Big Data: It might slow down with large data sizes. It’s advisable to ask for demos with high data loads.
Needs Tech Experts: Managing the infrastructure requires IT people and system administrators.
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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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Informatica PowerCenter has a reputation for easy adoption. The drag-and-drop interface makes it a breeze to move data around and connect to different sources.It seamlessly connects to cloud apps, databases, and legacy systems, saving businesses a ton of manual work. The wide range of connectors and smooth integration with other Informatica tools seem valuable enough to justify the cost.However, it isn't perfect. Compared to similar software, there’s a steeper learning curve, especially for advanced features. The cost can also be a sticking point, especially for businesses with small data loads.Performance is another area with mixed reviews. While PowerCenter has traditionally been reliable for everyday tasks, its performance can lag while handling massive amounts of data.

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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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