Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Utilize high-performance ETL for data ingestion, whether through mass ingestion or change data capture methods. Seamlessly integrate data across any cloud environment using ETL, ELT, Spark, or a fully managed serverless solution. Connect and unify applications, regardless of whether they are on-premises or part of a SaaS model. Achieve data processing speeds of up to 72 times faster, handling petabytes of data within your cloud infrastructure. Discover how Informatica’s Cloud Data Integration empowers you to rapidly create high-performance data pipelines tailored to diverse integration requirements. Effectively ingest databases, files, and real-time streaming data to enable instantaneous data replication and analytics. Facilitate real-time app and data integration through intelligent business processes that connect both cloud and on-premises sources. Effortlessly integrate message-driven systems, event queues, and topics while supporting leading tools in the industry. Connect to numerous applications and any API, enabling real-time integration through APIs, messaging, and pub/sub frameworks—without the need for coding. This comprehensive approach allows businesses to maximize their data potential and improve operational efficiency significantly.
Description
Connecting every data source with analytics services on a single AI-powered platform will transform how people access, manage, and act on data and insights.
All your data. All your teams. All your teams in one place.
Create an open, lake-centric hub to help data engineers connect data from various sources and curate it. This will eliminate sprawl and create custom views for all.
Accelerate analysis through the development of AI models without moving data. This reduces the time needed by data scientists to deliver value.
Microsoft Teams, Microsoft Excel, and Microsoft Teams are all great tools to help your team innovate faster.
Connect people and data responsibly with an open, scalable solution. This solution gives data stewards more control, thanks to its built-in security, compliance, and governance.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Amazon S3
No
Azure Data Factory
No
Azure Data Lake
No
BI Book
No
BIChart
No
DataOps.live
Yes
GiveLife365
No
MetricSign
No
Microsoft Excel
No
Mindfuel
No
Integrations
Amazon S3
Yes
Azure Data Factory
Yes
Azure Data Lake
Yes
BI Book
Yes
BIChart
Yes
DataOps.live
No
GiveLife365
Yes
MetricSign
Yes
Microsoft Excel
Yes
Mindfuel
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
$156.334/month/2CU
Prices vary depending on the geographic region and capacity units.
There are two ways to get started: pay-as-you-go or by reservation.
There are two ways to get started: pay-as-you-go or by reservation.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Informatica
Country
United States
Website
www.informatica.com/products/cloud-integration/cloud-data-integration-c.html
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
www.microsoft.com/en-us/microsoft-fabric
Product Features
Integration
Dashboard
No
ETL - Extract / Transform / Load
No
Metadata Management
No
Multiple Data Sources
No
Web Services
No
iPaaS
AI / Machine Learning
No
Cloud Data Integration
No
Dashboard
No
Data Quality Control
No
Data Security
No
Drag & Drop
No
Embedded iPaaS
No
Integration Management
No
Pre-Built Connectors
No
White Label
No
Workflow Management
No
Product Features
Data Fabric
Data Access Management
No
Data Analytics
No
Data Collaboration
No
Data Lineage Tools
No
Data Networking / Connecting
No
Metadata Functionality
No
No Data Redundancy
No
Persistent Data Management
No