Informatica PowerCenter vs Oracle Data Integrator

Last Updated:

Our analysts compared Informatica PowerCenter vs Oracle Data Integrator 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

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
read more...
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...
$5,000 Annually
Get a free price quote
Tailored to your specific needs
$0.09/OCPU, /Hour
Free Trial is unavailable →
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

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

  • 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.
read more...
  • 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...
  • 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.
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...

Product Ranking

#20

among all
ETL Tools

#31

among all
ETL Tools

Find out who the leaders are

Analyst Rating Summary

96
95
100
100
100
100
94
88
Show More Show More
Data Delivery
Data Quality
Metadata Management
Platform Security
Workflow Management
Data Delivery
Data Quality
Metadata Management
Performance and Scalability
Platform Capabilities

Analyst Ratings for Functional Requirements Customize This Data Customize This Data

Informatica PowerCenter
Oracle Data Integrator
+ 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 0 100 100 100 88 96 100 100 89 0 25 50 75 100
100%
0%
0%
100%
0%
0%
100%
0%
0%
100%
0%
0%
89%
0%
11%
79%
0%
21%
91%
0%
9%
96%
0%
4%
100%
0%
0%
100%
0%
0%
we're gathering data
N/A
we're gathering data
N/A
we're gathering data
N/A
100%
0%
0%
100%
0%
0%
90%
0%
10%

Analyst Ratings for Technical Requirements Customize This Data Customize This Data

we're gathering data
N/A
we're gathering data
N/A
we're gathering data
N/A
100%
0%
0%
100%
0%
0%
100%
0%
0%

User Sentiment Summary

Great User Sentiment 773 reviews
Great User Sentiment 243 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.

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.

4.4 (83)
4.0 (17)
n/a
4.39 (18)
4.5 (41)
4.4 (18)
4.3 (557)
4.2 (69)
3.9 (92)
3.9 (121)

Awards

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

Workflow Management Award

we're gathering data

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.
Show more
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
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.
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

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.

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

Screenshots

Top Alternatives in ETL Tools


AWS Glue

Azure Data Factory

Cloud Data Fusion

Dataflow

DataStage

Fivetran

Hevo

IDMC

InfoSphere Information Server

Integrate.io

Oracle Data Integrator

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