# Selfr Reviews
**Vendor:** Selfr  
**Category:** [Data Visualization Tools](https://www.g2.com/categories/data-visualization-tools)  
**Average Rating:** 4.5/5.0  
**Total Reviews:** 3
## About Selfr
Selfr is a plug-and-play AI-powered platform that helps data analysts and business people build automated pipelines that turn data from multiple sources into live BI dashboards. It eliminates the need to hire expensive data engineers to build and maintain a data stack, and automates a lot of tedious manual tasks.




## Selfr Reviews
  ### 1. Review on selfr application

**Rating:** 4.0/5.0 stars

**Reviewed by:** Saiteja g. | Software engineer, Mid-Market (51-1000 emp.)

**Reviewed Date:** March 26, 2024

**What do you like best about Selfr?**

Its a great product to use in enterprise domain

**What do you dislike about Selfr?**

there are some limitations which i found related to performance side

**What problems is Selfr solving and how is that benefiting you?**

For a huge set of data visualization is the key using selfr it made my analysis easy to understand

  ### 2. Great tool for scale-ups like us

**Rating:** 4.5/5.0 stars

**Reviewed by:** Jolien R. | Small-Business (50 or fewer emp.)

**Reviewed Date:** September 21, 2023

**What do you like best about Selfr?**

One-stop tool to set up datawarehouse fairly easily, even when you don't have inhouse data engineers. The integration with Fivetran makes it easy to add various connectors and use the standard data models available.

**What do you dislike about Selfr?**

It it primarily a tool to extract, load and transform data. For data exploration and visualisation I recommend other tools. I know they are working on this though.

**What problems is Selfr solving and how is that benefiting you?**

We have a lot of data from various sources (e.g. Shopify, Instagram, our ERP Cin7, accounting software Xero). Making reports or answering simple questions would previously involve manual downloading, mapping and transforming data. With Selfr we can do this much faster, and we have a single source of "data truth".

  ### 3. Powerful & Easy to use data pipeline

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Consumer Goods | Mid-Market (51-1000 emp.)

**Reviewed Date:** October 09, 2023

**What do you like best about Selfr?**

- Lot of integrations 
- Easy to integrate pipeline 
- Increased team productivitiy and data quality
- Seflr team availabilty for support & new feature.

**What do you dislike about Selfr?**

- As of now we don't use the data visualisation part as we already had Tableau integrated before moving to Selfr

**What problems is Selfr solving and how is that benefiting you?**

Selfr allow us to integrate all of data in one data warehouse from a multitude of data sources  (flat files, ecommerce, finance, ops ) and get daily updates to all our business dashboard while allowing a seamless data quality.



- [View Selfr pricing details and edition comparison](https://www.g2.com/products/selfr/reviews?section=pricing&secure%5Bexpires_at%5D=2026-05-15+05%3A15%3A48+-0500&secure%5Bsession_id%5D=782fa240-e8e7-4db2-86e3-c07837497bf7&secure%5Btoken%5D=f744963fbee4b630cc64f369aef10e7d39a2141afe0f33e8c578f014c30837d9&format=llm_user)

## Selfr Features
**Reports**
- Reports Interface
- Steps to Answer
- Graphs and Charts
- Score Cards
- Dashboards

**Reports**
- Reports Interface
- Share Reports
- Steps to Answer

**Generative AI**
- AI Text Generation
- AI Text Summarization

**Visualization**
- Graphs and Charts
- Score Cards
- Dashboards
- Formats

**Data Updates**
- Historical Snapshots
- Real-Time Updating

**Collaboration**
- Sharing
- Co-Editing
- Devices

**Self Service **
- Calculated Fields
- Data Column Filtering
- Data Discovery
- Search
- Collaboration / Workflow
- Automodeling

**Advanced Analytics**
- Predictive Analytics
- Data Visualization
- Big Data Services

**Building Reports**
- Data Transformation
- Data Modeling
- WYSIWYG Report Design
- Integration APIs

**Platform**
- Mobile User Support
- Customization 
- User, Role, and Access Management
- Internationalization
- Sandbox / Test Environments
- Performance and Reliability
- Breadth of Partner Applications

**Data Updates**
- Historical Snapshots
- Real-Time Updating
- Email Reports

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