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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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.

Description

Navigating health-related challenges frequently necessitates the integration of intricate and varied data sources, even when focusing on interventions within a single nation. Such data may originate from Health Management Information Systems (HMIS) like DHIS2, personal tracking mechanisms, bespoke software aimed at particular issues, or assorted Excel files supplied by health professionals. The presence of this heterogeneous data in isolated silos often represents the most significant hurdle in facilitating an effective exploration and analytical process. This fragmentation also hampers collaboration, resulting in data analysts who specialize in health data frequently resorting to creating improvised scripts and visualizations on their personal devices, and subsequently disseminating their findings across disparate publications that complicate the extraction of coherent insights. To remedy this challenge, Bluesquare has developed OpenHexa, a comprehensive cloud-based data integration platform that features three key components: extraction, analysis, and visualization. This innovative platform primarily leverages established open-source technologies, ensuring both reliability and accessibility for users across the health sector. By streamlining data management, OpenHexa aims to enhance collaboration and foster unified insights that can drive more effective health interventions.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Google Cloud BigQuery
Jupyter Notebook
JupyterHub
Microsoft Excel
Microsoft Power BI
Mitzu
MySQL
PostgreSQL
Tableau

Integrations

Google Cloud BigQuery
Jupyter Notebook
JupyterHub
Microsoft Excel
Microsoft Power BI
Mitzu
MySQL
PostgreSQL
Tableau

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
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

Jitsu

Country

United States

Website

jitsu.com

Vendor Details

Company Name

Bluesquare

Country

Belgium

Website

bluesquarehub.com/products/data-integration-platform-2/

Product Features

Customer Data Platforms (CDP)

Behavioral Analytics
Campaign Management
Customer Profiles
Customer Segmentation
Data Integration
Data Matching
GDPR Compliance
Personalization
Predictive Modeling

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

Product Features

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

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