Solution Brief

Faster, More Cost-Effective
Cloud Data Integration
Key Benefits

Control Costs, Solve Resource Constraints, and Simplify Multi-cloud• Control your costs withInformatica’s flexible usage-based
pricing, Optimization Engine, andrun-time tools that intelligently
automate cost control

Complexity With Cloud-native ETL and ELT• Increase resource productivity
with low/no code development
tools, self-service for all users
including the operations team,and out-of-the-box templates
and wizards that reduce 80% ofdesign and development workand promote reusability

analytics, cloud data integration becomes a critical component of your analytics strategy and an• Reduce complexity with support
for multi-cloud, on-premises, andeverything in between, with one
single platform, which includes
data ingestion, data integration,
data quality, app integration,
API management, and more

Enterprises today are accelerating their move to cloud, seeking benefits like flexibility, scalability,and cost-effectiveness. As organizations embrace cloud data warehouses and lakes to modernize
anchor for your digital transformation.
But for many organizations, cloud has also brought cost overruns and resource constraints,as well as technology and implementation complexity. As a result, enterprises may struggle tocapture benefits like accelerated time to value and ROI. Worse, digital transformation initiatives
can stall, leaving many companies at risk of disruption.
How can you ensure your cloud data integration uses the most cost-effective processing tocontrol costs, increases productivity and self-service to address resource constraints, andprovides an industry-leading data-integration platform equivalent to multiple point solutions?
For modern cloud analytics you need a cloud-native, best-of-breed cloud data integration solutionthat delivers industry-leading ETL (extract, transform, load) and ELT (extract, load, transform)
capabilities with the ability to scale seamlessly for your biggest data processing jobs.

The Cost, Constraints, and Complexity of Data Integration Today
CIOs and CDOs looking to optimize costs, increase productivity, and democratize data
across the enterprise face three common challenges when it comes to data integration foranalytics modernization.
Cost Overruns: CIOs and other IT leaders find it difficult to predict cloud costs, let alone manage
them. They often lack visibility into costs and aren’t able to see who is using what cloud services
and to what degree. Moving data into and out of cloud data warehouses and lakes incurs
significant data transfer charges. Too often, organizations simply throw people and compute
hours at these data processing problems instead of finding a more cost-effective solution.
Resource Constraints: CIOs and CDOs are challenged to find enough resources to do all the workthat data-hungry organizations demand. Often, this work requires highly skilled and specialized1

resources. While IT struggles to meet demand, the business wants to move to the cloud evenfaster. Lack of resources and self-service capabilities make IT into a bottleneck.
Complexity: As cloud adoption accelerates, data and IT leaders can find it difficult to connect
cloud and multi-cloud with on-premises environments. Disparate tools don’t work well together.
And moving projects from development into production often takes too long as a result of system
integration, data quality, and DataOps issues.

Cloud Data Integration: One Size Does Not Fit All
Many point solutions force you to process data according to their limitations. These tools are
not designed to save data transfer charges and limit compute hours, and they lack pushdown
optimization capabilities. Point solutions offered by data integration vendors may provide cloud
ETL or cloud ELT—but they do not have best-of-breed capabilities that span both. For large data
volumes, you may want to send jobs for Spark-based processing based on data locality, costefficiency, or if the job cannot be addressed by SQL logic. But can your limited data integration
tool support all types of data integration processing and choose the right processing mode forthe job at hand?
Lacking a comprehensive solution, you either accept using a one-size-fits-all tool for dataprocessing requirements, or you’re forced to use multiple tools for different types of work.
Neither approach gives you the flexibility and control you need to effectively manage yourcosts, enable self-service, and simplify data integration across multi-cloud and multi-hybrid
environments. There’s a better way.

High-Performance, Lower-Cost Cloud Data Integration With Informatica
Informatica® pioneered enterprise-class ETL for on-premises data integration. With AI-powered
cloud-native data integration, Informatica provides best-of-breed ETL, ELT, and elastic Sparkbased data processing for any cloud data integration need. Informatica cloud-native dataintegration benefits your enterprise in three key ways.
Cost Control and Optimization
With Informatica, you’re able to choose the right processing for the right job. As a result, you saveon compute hours, data transfer charges, and more. The faster you process your data, the fewer
compute hours you need, so the highly performant Informatica solution reduces your costs while
accelerating cloud modernization initiatives.
• Optimization Engine: Informatica’s Optimization Engine sends your data processing work to themost cost-effective option, whether that’s cloud ecosystem pushdown, cloud data warehouse
pushdown, traditional ETL, or Spark serverless processing.
• Cost-Control Capabilities: With Informatica, you can set limits on compute time, automatically
adapt limits based on your usage patterns and behavior, and optimize for your location.
®
The metadata-driven intelligence in Informatica CLAIRE can recommend processing

techniques and alert you to more cost-effective options.

2• Flexible, Consumption-Based Pricing: Informatica’s simple, consumption-based pricing lets
you easily scale up or down as needs change while giving you access to an array of ourindustry-leading cloud services, so you can rapidly onboard new capabilities and kickstartinnovation. You can also subscribe via Amazon Web Services, Microsoft Azure, and Google
Cloud marketplace private offers and count your Informatica subscription toward your cloud
platform spend commitment. Talk to your account manager to learn more.
Reduced Resource Needs
Informatica’s cloud data integration solution significantly reduces the resource burden on IT,enabling self-service and leveraging AI and automation for faster, easier integration.
• Self-Service: Informatica low-code and no-code development tools enable you to use fewer
resources per job. The graphical user interface lets you leverage business users, not justspecialized technical resources. Data operations teams can monitor and manage all Informatica
jobs and processes through a unified admin console.
• Templates: Reduce development time by up to 80% with templates and multi-step wizards.
Leverage pre-built quick-start bundles or accelerators for common data integration projects,
such as data warehousing, data quality, migration to Snowflake, and more. Data pipelines(referred to as mappings in Informatica) are reusable and dynamic, so you can develop onceand deploy again and again, even as data changes.
• AI and Automation: With Informatica, you can leverage AI and machine learning for intelligent
automation instead of building each job manually from scratch. Leverage CLAIRE-powered
recommendations for how to build mappings, parse data file formats, and optimize performanceand utilization for large, complex processing jobs (e.g., auto-tuning and auto-scaling).
Simplified Data Management Across Clouds, On-Premises, and Everything In-Between
Informatica radically simplifies cloud data integration with a single, integrated platform. Insteadof multiple tools from multiple vendors, you have one industry-leading cloud-native solution withsimplified tooling that works for all your cloud and on-premises applications, whether singlecloud, multi-cloud, multi-hybrid, or on-premises. With integrated cloud data quality as part of thedata lifecycle, you can reduce the time dedicated to quality assurance tasks by up to 35% eachweek.1 As a result, you’re able to accelerate deployment, move projects into production much
faster, and improve decision making and AI-driven predictive analytics with more trusted data.

1Nucleus Research ROI Guidebook: Informatica iPaaS

3

About Informatica
Digital transformation
changes expectations: better
service, faster delivery, withless cost. Businesses must
transform to stay relevant
and data holds the answers.
As the world’s leader inEnterprise Cloud DataManagement, we’re preparedto help you intelligently lead—in any sector, category, orniche. Informatica provides youwith the foresight to become
more agile, realize new growth
opportunities, or create newinventions. With 100% focus on
everything data, we offer theversatility needed to succeed.

End-to-End Cloud Data Management With Informatica Intelligent DataManagement Cloud
Informatica’s cloud-native data integration solution is built on the Informatica Intelligent DataManagement Cloud, the industry’s first and most comprehensive cloud-native and AI-powereddata management platform.
With over 260 intelligent cloud services, Intelligent Data Management Cloud provides best-ofbreed data ingestion, cloud ETL and ELT, data quality, application integration, cataloging, datagovernance, master data management, and more. Only Informatica offers one comprehensive
cloud-native platform that supports all your cloud data management needs even as integration
requirements evolve and technology changes.

Next Steps
Learn more about Informatica Cloud Data Integration, the industry-leading solution for cloud ETLand ELT. Try the solution free for 30 days.

We invite you to explore
all that Informatica has
to offer—and unleash thepower of data to drive yournext intelligent disruption.

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Phone: 650.385.5000, Toll-free in the US: 1.800.653.3871

IN17_0621_04160© Copyright Informatica LLC 2021. Informatica and the Informatica logo and CLAIRE are trademarks or registered trademarks of Informatica LLC in the United States and other countries. A current listof Informatica trademarks is available on the web at https://www.informatica.com/trademarks.html. Other company and product names may be trade names or trademarks of their respective owners.
The information in this documentation is subject to change without notice and provided “AS IS” without warranty of any kind, express or implied.