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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
Supaflow is an all-in-one data pipeline platform that enables businesses to ingest, transform, and activate data from multiple sources in a unified environment. It connects SaaS applications, databases, APIs, and files to data warehouses like Snowflake with minimal setup. The platform supports both historical and incremental data syncing, along with schema drift detection and validation features. Supaflow integrates orchestration, scheduling, and monitoring, allowing teams to manage workflows efficiently from a single interface. It provides observability tools such as real-time run status, alerts, and data lineage tracking for complete transparency. With secure deployment options, businesses can run Supaflow within their VPC or Snowflake infrastructure, ensuring data privacy and control. The platform also supports dbt Core transformations, enabling teams to manage business logic alongside pipelines. Its activation features allow users to push curated data back into CRM and marketing tools with built-in safeguards. Supaflow offers a CLI and Claude Code plugin, enabling AI-driven pipeline creation and management. Overall, it delivers a scalable, secure, and cost-efficient solution for modern data engineering needs.
API Access
Has API
API Access
Has API
Integrations
ActiveBatch Workload Automation
Airtable
Claude Code
DataOps.live
HubSpot CRM
Salesforce
Salesforce Marketing Cloud Account Engagement
Snowflake
Stonebranch
Integrations
ActiveBatch Workload Automation
Airtable
Claude Code
DataOps.live
HubSpot CRM
Salesforce
Salesforce Marketing Cloud Account Engagement
Snowflake
Stonebranch
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$0/month
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Informatica
Country
United States
Website
www.informatica.com/products/cloud-integration/cloud-data-integration-c.html
Vendor Details
Company Name
Supaflow
Founded
2025
Country
United States
Website
www.supa-flow.io
Product Features
Integration
Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services
iPaaS
AI / Machine Learning
Cloud Data Integration
Dashboard
Data Quality Control
Data Security
Drag & Drop
Embedded iPaaS
Integration Management
Pre-Built Connectors
White Label
Workflow Management
Product Features
ETL
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control