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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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

Jitsu is available as open-source software under the MIT license, providing support for various deployment options such as Heroku, Docker, and Docker-Compose. Its user-friendly interface makes configuration straightforward and accessible for everyone. You can find a comprehensive list of supported destinations, which can either be data warehouses or external services with APIs. Jitsu ensures that data is delivered reliably; in the event that a destination experiences downtime, it retains the data in an internal persistent queue and will transmit it once the destination is back online. Additionally, Jitsu enhances data during the enrichment process through geo resolution, which identifies the user's geographical information such as country, city, and zip code based on their IP address. Jitsu Cloud serves as the SaaS version of our platform, incorporating all the features from the open-source variant while offering up to 250,000 events per month at no cost. This makes it an attractive option for businesses seeking scalable data solutions.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

ActiveBatch Workload Automation Yes 
DataOps.live Yes 
Google Cloud BigQuery No 
Mitzu No 
MySQL No 
PostgreSQL No 
Stonebranch Yes 

Integrations

ActiveBatch Workload Automation No 
DataOps.live No 
Google Cloud BigQuery Yes 
Mitzu Yes 
MySQL Yes 
PostgreSQL Yes 
Stonebranch No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
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) No 
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 No 
Live Training (Online) No 
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

Jitsu

Country

United States

Website

jitsu.com

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

Customer Data Platforms (CDP)

Behavioral Analytics No 
Campaign Management No 
Customer Profiles No 
Customer Segmentation No 
Data Integration No 
Data Matching No 
GDPR Compliance No 
Personalization No 
Predictive Modeling No 

Integration

Dashboard No 
ETL - Extract / Transform / Load No 
Metadata Management No 
Multiple Data Sources No 
Web Services No 

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