Oracle Data Integrator vs Skyvia

Last Updated:

Our analysts compared Oracle Data Integrator 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.

Oracle Data Integrator Software Tool

Product Basics

Oracle Data Integrator (ODI) is a data integration platform designed to extract, transform, and load (ETL) data from various sources to target systems. It offers a visual interface for building and managing data pipelines, including pre-built connectors for popular databases, applications, and cloud services. ODI is ideal for organizations needing to integrate data from diverse sources for business intelligence, data warehousing, and other analytical needs. Its key benefits include ease of use, scalability, high performance, and extensive out-of-the-box functionality. Popular features include graphical mapping interface, data quality checks, data lineage tracking, and support for complex data transformations. User reviews highlight ODI's strengths in simplifying complex data integration tasks, offering robust data quality tools, and ensuring efficient data processing. However, some users report occasional performance issues and limited flexibility compared to more open-source solutions. Pricing varies based on deployment options and required features, typically ranging from several thousand to tens of thousands of dollars per year, with payment options including annual licenses and subscription plans.

Pros
  • Easy to use interface
  • Strong data quality tools
  • High performance & scalable
  • Extensive built-in functionality
  • Connects to popular data sources
Cons
  • Occasional performance issues
  • Less flexible than open-source tools
  • Steeper learning curve for advanced tasks
  • Potentially high cost depending on deployment
  • Limited community support compared to open-source options
read more...

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
read more...
$0.09/OCPU, /Hour
Free Trial is unavailable →
Get a free price quote
Tailored to your specific needs
$7 Monthly
Get a free price quote
Tailored to your specific needs
Small 
i
Medium 
i
Large 
i
Small 
i
Medium 
i
Large 
i
Windows
Mac
Linux
Android
Chromebook
Windows
Mac
Linux
Android
Chromebook
Cloud
On-Premise
Mobile
Cloud
On-Premise
Mobile
we're gathering data
GE
Globaldata
Hyundai
Medecins Sans Frontieres
Telenor

Product Assistance

Documentation
In Person
Live Online
Videos
Webinars
Documentation
In Person
Live Online
Videos
Webinars
Email
Phone
Chat
FAQ
Forum
Knowledge Base
24/7 Live Support
Email
Phone
Chat
FAQ
Forum
Knowledge Base
24/7 Live Support

Product Insights

  • Maximize ROI: Reduces infrastructure costs by eliminating the need for an ETL server and engine. Save on labor costs with a smaller learning curve and reduce TCO with lower development costs. 
  • Integrate Disparate Data: Supports all RDBMS like Oracle, Exadata, Teradata, IBM DB2, Netezza, Sybase IQ, ERPs, LDAP, XML and flat files, among others. 
  • Deploy Faster: Enhance user experience and developer productivity with a flow-based declarative user interface. Enables developers to focus on describing what’s to be done visually, with data architects defining processes and executing data integration separately. Shorten implementation times and simplify maintenance. 
  • Map Big Data: Transform large, complex data sets by leveraging its flexible and highly performant architecture. Generate Apache Spark code as per big data standards, with native support for big data and parallel processing. 
  • Access Data 24*7: Scales as the data grows with clustered deployments for high availability. Optimizes workloads with JDBC connection pooling, load balancing and a connection retry mechanism to recover failed sessions. 
read more...
  • 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.
read more...
  • Simple Design: Save on a separate ETL server and engine; transform complex datasets using only the source and target servers. Deploys E-LT architecture based on existing RDBMS engines and SQL. Uses database CPU and memory to run transformations. 
    • Service-Oriented Architecture (SOA): Consolidate databases, ERP and middleware in a single business solution by building a shared services layer with Oracle SOA Suite. Improve bulk data transfer performance, business optimization, process visibility and exception handling. 
  • ODI Studio: Configure and manage ODI; administer the infrastructure, reverse engineer the metadata, develop projects, schedule, operate and monitor executions. 
  • Administer Centrally: Set up production environments, manage and monitor run-time operations and diagnose errors with the ODI Enterprise Edition Console. 
    • Get read access to the metadata repository, and perform topology configuration and production operations through a web-based UI. 
    • Integrates with the Oracle Enterprise Manager Fusion Middleware Control Console for single-screen monitoring of data integration and Fusion Middleware components. 
    • Manage all ODI environment components from Oracle Enterprise Manager Cloud Control through the Management Pack. 
  • Data Quality Firewall: Automatically detects and recycles faulty data before incorporating it in the target system – no need for programming. Follows the data integrity rules and constraints defined on the target platform and in ODI. 
read more...
  • 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.
read more...

Product Ranking

#31

among all
ETL Tools

#33

among all
ETL Tools

Find out who the leaders are

Analyst Rating Summary

95
63
100
84
100
27
88
65
Show More Show More
Data Delivery
Data Quality
Metadata Management
Performance and Scalability
Platform Capabilities
Platform Security

Analyst Ratings for Functional Requirements Customize This Data Customize This Data

Oracle Data Integrator
Skyvia
+ Add Product + Add Product
Data Delivery Data Quality Data Sources And Targets Connectivity Data Transformation Metadata Management Platform Capabilities Workflow Management 100 100 88 96 100 100 89 84 27 65 68 16 79 71 0 25 50 75 100
100%
0%
0%
80%
0%
20%
100%
0%
0%
23%
8%
69%
79%
0%
21%
64%
4%
32%
96%
0%
4%
71%
0%
29%
100%
0%
0%
10%
10%
80%
100%
0%
0%
86%
0%
14%
90%
0%
10%
70%
0%
30%

Analyst Ratings for Technical Requirements Customize This Data Customize This Data

100%
0%
0%
83%
0%
17%
100%
0%
0%
91%
0%
9%

User Sentiment Summary

Great User Sentiment 243 reviews
Excellent User Sentiment 430 reviews
81%
of users recommend this product

Oracle Data Integrator has a 'great' User Satisfaction Rating of 81% when considering 243 user reviews from 5 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 (17)
4.8 (220)
4.39 (18)
n/a
4.4 (18)
4.8 (67)
4.2 (69)
4.8 (104)
3.9 (121)
4.8 (25)

Awards

we're gathering data

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

User Favorite Award

Synopsis of User Ratings and Reviews

Easy to Use: Intuitive drag-and-drop interface simplifies data integration tasks, even for non-technical users.
Pre-built Connectors: Supports a wide range of data sources and targets, including databases, applications, and cloud platforms.
Scalable and Robust: Handles large data volumes and complex data integration processes efficiently.
Data Quality Management: Built-in features for data cleansing, validation, and transformation ensure data accuracy.
Workflow Automation: Schedule and automate data integration tasks for timely data delivery.
Security and Governance: Comprehensive security features and role-based access control ensure data privacy and compliance.
Show more
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.
Show more
Steep Learning Curve: Mastering ODI's features and functionalities requires significant training and experience.
Limited Open-Source Community: Compared to other ETL tools, ODI has a smaller open-source community, which can lead to fewer resources and support.
High Cost: Oracle Data Integrator can be expensive to purchase and maintain, especially for small and medium-sized businesses.
Limited Cloud Support: While ODI supports cloud deployments, its cloud capabilities are not as mature as some other ETL tools.
Performance Bottlenecks: Complex mappings and large data volumes can lead to performance issues.
Show more
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.
Show more

Oracle Data Integrator (ODI) receives mixed reviews, with users praising its intuitive interface, wide range of supported data sources, and robust data quality management features. However, some users find its learning curve steep and criticize its limited open-source community and high cost. Many users appreciate ODI's ease of use, particularly its drag-and-drop interface. One user noted, "ODI's intuitive interface made it easy to learn and use, even for someone with limited technical experience." This is a significant advantage compared to other ETL tools with steeper learning curves, like Informatica PowerCenter. ODI's wide range of pre-built connectors and support for various data sources is another highlight. "We were able to integrate data from a variety of sources, including databases, applications, and cloud platforms, without any major challenges," stated a user. This flexibility is crucial for modern businesses working with diverse data landscapes, especially compared to competitors like Talend which may require additional configurations for specific data sources. However, ODI's learning curve can be daunting for new users. One user commented, "It took me a while to feel comfortable using ODI, as I had to learn its specific terminology and concepts." Additionally, the limited open-source community can make it difficult to find answers or support online. "Compared to other ETL tools, the lack of a strong open-source community around ODI can be frustrating," noted a user. This is a disadvantage compared to open-source alternatives like Apache Airflow, which offer extensive online resources and communities. Another drawback is ODI's high cost. "The cost of ODI was a major concern for us, and we had to carefully consider our budget before making a decision," said a user. This high cost can be a deterrent for small and medium-sized businesses, particularly when compared to more cost-effective solutions like Pentaho Data Integration. Overall, ODI offers powerful data integration capabilities with a user-friendly interface and comprehensive data quality features. However, its steep learning curve, limited open-source community, and high cost can be significant drawbacks for some users. Ultimately, the decision of whether ODI is the right fit depends on individual needs and priorities.

Show more

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.

Show more

Screenshots

Top Alternatives in ETL Tools


AWS Glue

Azure Data Factory

Cloud Data Fusion

Dataflow

DataStage

Fivetran

Hevo

IDMC

Informatica PowerCenter

InfoSphere Information Server

Integrate.io

Pentaho

Qlik Talend Data Integration

SAP Data Services

SAS Data Management

Skyvia

SQL Server

SQL Server Integration Services

Talend

TIBCO Cloud Integration

Related Categories

Head-to-Head Comparison

WE DISTILL IT INTO REAL REQUIREMENTS, COMPARISON REPORTS, PRICE GUIDES and more...

Compare products
Comparison Report
Just drag this link to the bookmark bar.
?
Table settings