# Gathr Software Pricing, Alternatives & More 2026 | Capterra

> With the help of Capterra, learn about Gathr Software - reviews, pricing plans, popular comparisons to other Business Intelligence products and more.

Source: https://www.capterra.com/p/240768/Gathr

---

# 

 Gathr Software Review 2026: Features, Reviews, Integrations, Pros & Cons

Last updated on March 13, 2026

Provider data verified by our Software Research team, and reviews moderated by our Reviews Verification team.

[Description](#description)[Use cases](#use-cases)[Alternatives](#alternatives)[Features](#features)[Pricing](#pricing)[Integrations](#integrations)[Support](#support)[Reviews](#reviews)

Gathr

## What is Gathr?

Gathr.ai powers AI with complete data context for higher quality intelligence. With day-zero, high-fidelity data discourse, users can get data-backed answers to the ‘why’, ‘what-if’, and ‘how do I’ questions that drive business KPIs forward. This intelligence is delivered natively on top of the organization’s existing data estate — including data warehouses, databases, federated SQL engines, and operational systems. Leading businesses across industries also rely on Gathr.ai to build high-performance data pipelines, bespoke Data+AI solutions, and action-driven analytics experiences. Built for builders, Gathr.ai delivers agility, performance, and control. It snaps into the existing stack — integrating upstream and downstream systems with no extra plumbing. It gives developers starter-kit speed and full extension freedom. Gathr.ai’s product suite includes: Data Warehouse Intelligence | Document Intelligence | System Intelligence | Data Pipelining | Data+AI Fabric

## What is Gathr used for?

[ETL](https://www.capterra.com/etl-software/)[Integration](https://www.capterra.com/integration-software/)[Data Extraction](https://www.capterra.com/data-extraction-software/)

Overall rating

Based on 22 user reviews

Reviews sentiment

Positive

95%

Neutral

5%

Negative

0%

Starting price

$0.25

Per User, Per Month

Free trial  
available

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## Compare with a popular alternative

Capterra selects software alternatives based on relevant features, verified user reviews and user interactions. Placement may be influenced by client status.

### Gathr

4.8 (22)

VS.

[4.3 (329)](https://www.capterra.com/p/119119/Domo/reviews/)

Starting Price

$0.25

Usage Based

Starting Price

Contact vendor

Free Trial

Free Version

Pricing Options

Free Trial

Free Version

Ease Of Use

4.6 (22)

Ease Of Use

4.1 (326)

Value For Money

4.8 (21)

Value For Money

4.0 (239)

Customer Service

4.6 (21)

Customer Service

4.0 (257)

## Gathr alternatives

[4.5 (26)](https://www.capterra.com/p/162524/DataTap/reviews/)

Starting price

Contact vendor for pricing

Pricing Options

Free Trial

Free Version

User Rating

96%

of reviewers

rated it above 4 stars

[4.4 (360)](https://www.capterra.com/p/129749/Zoho-Analytics/reviews/)

Starting price

$30.00

Per User, Per Month

Pricing Options

Free Trial

Free Version

User Rating

91%

of reviewers

rated it above 4 stars

[4.7 (15)](https://www.capterra.com/p/178411/Inzata/reviews/)

Starting price

$30000.00

Per User, Per Month

Pricing Options

Free Trial

Free Version

User Rating

100%

of reviewers

rated it above 4 stars

Highest Rated

[Hevo](https://www.capterra.com/p/176435/Hevo/)

[4.7 (110)](https://www.capterra.com/p/176435/Hevo/reviews/)

Starting price

$299.00

Per User, Per Month

Pricing Options

Free Trial

Free Version

User Rating

97%

of reviewers

rated it above 4 stars

[Learn More](https://www.capterra.com/p/176435/Hevo/)

[View all alternatives](https://www.capterra.com/p/240768/Gathr/alternatives/)

## Features

Features with the highest number of reviews are displayed first. Those that have no reviews appear next, sorted alphabetically.

Data Connectors

4.7 (15)

100.00% of 15 reviewers that rated this feature as important or highly important

Connect to big data sources

Drag & Drop

4.7 (13)

100.00% of 13 reviewers that rated this feature as important or highly important

Assemble applications and processes by dragging over and arranging pre-built components

Multiple Data Sources

4.6 (13)

100.00% of 13 reviewers that rated this feature as important or highly important

Allows users to manage data from a number of sources

Reporting/Analytics

4.6 (11)

81.82% of 11 reviewers that rated this feature as important or highly important

View and track pertinent metrics to find patterns and gain insights from data

Data Capture and Transfer

4.7 (9)

77.78% of 9 reviewers that rated this feature as important or highly important

Import, collect, and capture data from multiple sources

Collaboration Tools

4.8 (8)

87.50% of 8 reviewers that rated this feature as important or highly important

Provides a channel for team members to share media files, communicate, and work together

Gathr 58 features

Define levels of authorization for access to specific files or systems

One-off queries made on an as-needed basis

Receive suggestions from an automated tool on the next steps to take in the development process based on your prior activity

Software program that continuously adjusts its behavior based on observed data

System alerts about the need to escalate an issue or request

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Application programming interface that allows for integration with other systems/databases

Helps automate and manage information, tasks, and procedures by establishing routines and patterns associated with processes

Provides a channel for team members to share media files, communicate, and work together

Configure existing workflows to meet your organization's needs

Pre-designed layouts that can be customized to match preferences and requirements

Analyze survey results via statistical testing or crosstabs directly within the software

Generative models can help augment training datasets by generating additional synthetic data.

Import, collect, and capture data from multiple sources

Removes data that is incomplete, inaccurate, or irrelevant from a dataset

Connect to big data sources

Discover and connect variety of data sources to the application for analysis

Automatically retrieve and pull information from documents, websites, images, data sets, and other sources

Combining data from different sources and providing a unified view

Ability to handle large datasets

Establish guidelines about how much and what kind of data can be stored in the repository

Translate EDI formats into data suitable for use with company applications.

Graphical representation of data

Data vault where data is aggregated for later distribution to applications.

Manage the processes involved when making the application ready for use

Assemble applications and processes by dragging over and arranging pre-built components

Process of extracting, transforming, and loading data

Form predictions based on past and present data/trends

Use AI to generate content in the form of text, images, videos, etc.

Process and analyze large volume of data

Identify which applications need to exchange data and enable these data connections

Identify which applications need to exchange data and enable these data connections

Collect and maintain structured information that describes data or content

Observe and track the demand, usage, progress or quality of a system, product, or user

Allows users to manage data from a number of sources

Process and analyze human language in text or audio form

Ability to interact with the application using human languages such as English

Drag and drop/visual interfaces that allow non-tech users to build without writing code

Reusable integration workflow templates

Predict future data based on historical data sets

Evaluate the degree to which business operations bring monetary gains

Analyze and gain insights into data in real-time

Receive data and information in real time

View and track pertinent metrics to find patterns and gain insights from data

Automates and streamlines business processes by creating a sequence of predefined rules and actions that govern the flow of work

Search and filter data across systems to locate required information by entering keywords or certain criteria

Access, combine, transform, and store data without the help of an IT department

Categorize emotions expressed in written text or images and identify if they are positive, negative or neutral

Apply statistical/mathematical models to sets of data

At a high level, visualize a preferred outcome, define goals and identify specific steps to achieve them

Sample files or documents that could be customized as needed or used as is

Set up connections to third-party platforms to improve business processes

Review data from past periods to reveal recurring tendencies and predict future performance

Track revisions and updates made to files and navigate between different versions

Interact with data visualization elements, such as charts and graphs, to drill down into data

Use visual elements such as pre-built blocks and/or shapes to assemble a model or design

Provides varying estimates based on different scenarios

Create, design and manage workflows for repetitive tasks

Get Advice

We can help you find the software with the features you need.

Features

4.6 (22)

4.6

Based on 22 reviews

## Pricing

Value for money

4.8 (21)

Free Trial

Free Version

Advanced

$0.25

Usage Based,

Value for money

4.8 (21)

4.8

Based on 21 reviews

## Integrations

[

Google Drive](https://www.capterra.com/p/161425/Drive/)[

PayPal](https://www.capterra.com/p/207944/PayPal/)[

Dropbox Business](https://www.capterra.com/p/143068/Dropbox-Business/)[

Mailchimp](https://www.capterra.com/p/110228/MailChimp/)[

Basecamp](https://www.capterra.com/p/56808/Basecamp/)[

Gmail](https://www.capterra.com/p/202338/Gmail/)[

SurveyMonkey](https://www.capterra.com/p/253516/SurveyMonkey/)[

Docusign](https://www.capterra.com/p/121506/Docusign/)

Connect with a Capterra advisor for a free 15-minute consultation

Get a personalized software list aligned to your business needs with guidance from our expert advisors. Our team has helped 1 million+ businesses like yours find options that fit their needs.

## Support, customer service and training options

Customer Service

4.6 (21)

Support

-   Email/Help Desk
-   FAQs/Forum
-   Knowledge Base
-   Phone Support
-   24/7 (Live rep)
-   Chat

Training

-   In Person
-   Live Online
-   Webinars
-   Documentation
-   Videos

Deployment

-   Web
-   Android
-   iPhone/iPad

Typical users

-   Freelancers
-   Small businesses
-   Mid size businesses
-   Enterprises

Customer Service

4.6 (21)

4.6

Based on 21 reviews

## User reviews

Overall rating

4.8

Based on 22 reviews

Filter by rating

5(18)

4(3)

3(1)

2(0)

1(0)

Mentioned topic

Sorted by most recent

SK

Shahana K.

Manager Software Engineering

Information Technology and Services

### "The best product for ETL "

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

4.0

4.0

Likelihood to Recommend

9/10

July 23, 2025

We’ve been able to seamlessly run robust ETL applications on Amazon EMR clusters, while monitoring detailed metrics for each task and instance.

Pros

Gathr.ai’s data pipelining product has helped our team seamlessly ingest petabyte-scale data and configure custom ETL applications. We could easily drag and drop components to build ETL applications – saving both time and effort.

Cons

There is not much to dislike about the product. Sometimes I wish they would update the documentation more frequently.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

VS

Vedansh S.

Software Engineer

Information Technology and Services

### "Built for operationalization, not just exploration "

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

5.0

5.0

Likelihood to Recommend

10/10

June 17, 2025

Gathr.ai has allowed us to build and maintain production-grade pipelines that don’t require ongoing patchwork. It has improved reliability and reduced turnaround times when pushing updates or scaling usage.

Pros

Gathr.ai isn’t just a prototyping tool—it supports the full lifecycle, including experimentation, testing, deployment, monitoring, and maintenance. This has made it easier to sustain and scale AI and analytics use cases once they go live.

Cons

It’s been well-aligned with the operational requirements of our business. We haven’t encountered any blockers so far.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

YM

Yash M.

Software Engineer

Information Technology and Services

### "Built for real-world data environments "

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

5.0

5.0

Likelihood to Recommend

10/10

June 9, 2025

It has enabled us to move away from patchwork scripting and manual maintenance. We now have more predictable, auditable pipelines feeding our analytics and AI workflows, with significantly less downtime.

Pros

It handles diverse data modalities with ease, even when the source systems are inconsistent. That has helped us normalize and standardize inputs without creating more pipelines or duplicating work.

Cons

The platform has held up well under complex conditions also. It’s been dependable across all the scenarios.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

SJ

Shanvi J.

Associate Software Engineer

Information Technology and Services

### "Makes unstructured data first-class"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

5.0

5.0

Likelihood to Recommend

9/10

June 6, 2025

Gathr.ai has helped us move beyond traditional structured reporting to explore insights from qualitative sources. This has opened up new possibilities, especially in customer-facing functions.

Pros

Gathr.ai doesn’t treat unstructured data as an afterthought. It’s been easy to incorporate call transcripts, support tickets, and other text into our analysis pipelines.

Cons

Nothing worth noting- we've had great success using it with a variety of data types. Honestly, the extensive support is remarkable.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

MP

Mamlesh P.

Module Lead Software Engineer

Information Technology and Services

### "Unified handling of structured and unstructured data"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

5.0

5.0

Likelihood to Recommend

10/10

June 6, 2025

We used to run separate workflows for text-heavy and tabular data. Gathr.ai helped us unify that effort, saving time and enabling richer use cases like customer 360 and support analytics.

Pros

It allows us to work with structured data like ERP tables alongside unstructured sources like PDFs and logs in a single flow. That’s been a major enabler for our analytics, end-to-end.

Cons

Nothing significant, really. It integrates really well with our diverse data landscape without any issues.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

AM

Aditya M.

Lead Software Engineer

Information Technology and Services

### "Unified and effortless data processing"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

5.0

5.0

Likelihood to Recommend

10/10

June 5, 2025

We had data scattered across sources and systems. With Gathr.ai, we orchestrated end-to-end pipelines, extracting structured information, transforming it, and combining with other datasets. This helped us unify fragmented data and accelerate analytics across multiple business functions.

Pros

Made it easy to ingest and process large volumes of structured and unstructured data—from databases like Oracle and HBase to docs and PDFs. It handled diverse data formats efficiently and streamlined transformations with a low-code interface and built-in operators.

Cons

While Gathr.ai offers a solid set of built-in connectors, one of our sources didn’t have native support. The team helped us build a custom connector quickly, so integration remained seamless.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

SG

siddharth g.

Senior Big Data Developer

Information Technology and Services

### "Simplified data transformation for GenAI success"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

4.0

4.0

Customer Service

5.0

5.0

Likelihood to Recommend

9/10

June 5, 2025

Most data processing tools lack the versatility and capabilities for GenAI use cases. But with Gathr.ai, we were able to readily build and manage multiple GenAI solutions. For instance, we’ve seamlessly leveraged data from Snowflake, CRM systems, and internal policy documents (brand guidelines, campaign SOP, and communication best practices), to create AI-driven, contextualized outreach campaigns.

Pros

When we started to prep our data for GenAI use cases, we faced many challenges. We needed a solution that could help us work with our structured and unstructured data at scale. We used Gathr.ai on a pilot basis, and it just clicked. With Gathr.ai’s ready-to-use connectors, GenAI building blocks, and low-code/no-code UI, we have successfully built and scaled multiple GenAI applications.

Cons

On the technology front, Gathr.ai is easily one of the most advanced and versatile products in the market today. So, no major complaints there. The only minor issue they can work on is providing more native connectors so that we don’t have to build new connectors from scratch in certain cases.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

RS

Rishi S.

Associate Software Engineer

Information Technology and Services

### "Improved time-to-insight across business units"

5.0

Overall Rating

5.0

5.0

Ease of Use

4.0

4.0

Features

5.0

5.0

Customer Service

5.0

5.0

Likelihood to Recommend

10/10

June 5, 2025

It’s helped us eliminate fragmented workflows across marketing, sales, and operations. We’re able to ship analytics faster, with clearer definitions and a consistent understanding of data across teams.

Pros

Gathr.ai streamlines real-time ingestion, transformation, and metadata management—helping us maintain fresh, reliable data at all times. This has been essential for time-sensitive use cases like campaign analytics and operational alerts.

Cons

Nothing stands out—it’s been effective across our analytics and AI use cases. Its been incredible and flexible across the board.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

SP

Sohil P.

Associate Software Engineer

Information Technology and Services

### "Good fit for cross-functional data teams "

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

5.0

5.0

Likelihood to Recommend

10/10

June 4, 2025

We’ve consolidated redundant pipelines and aligned teams around reusable data products. This has reduced rework and improved visibility into how data is actually used across departments.

Pros

The platform supports seamless handoffs across data engineering, AI, and analytics teams. Everyone gets a single view of the problem domain, while each user can still work in their preferred way.

Cons

It’s been flexible across the board. No major friction points in our experience till now and we are successfully developing data pipelines

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

SK

Samruddhi K.

Associate Software Engineer

Computer Software

### "Gathr - Experience"

4.0

Overall Rating

4.0

4.0

Ease of Use

4.0

4.0

Features

4.0

4.0

Customer Service

4.0

4.0

Likelihood to Recommend

8/10

May 16, 2025

It’s great to be able to compose freely and engineer data flows the way we want. Also like the fact that we can mix built-in and custom logic. Helps us deploy faster, while maintaining full control.

Pros

Gathr.ai has given us complete flexibility to customize our data pipeline behaviors, and control flows, triggers, and runtime decisions. Plus, we can manage our lifecycles and deployments entirely via APIs.

Cons

So far so good! Our team plans to try out more functionalities in the coming weeks. Looking for some more in-depth demos/tutorials, will reach out to the support team and see how it goes.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

KM

Kunal M.

Associate software Engineer

Business Supplies and Equipment

### "Gathr.ai Review"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

5.0

5.0

Likelihood to Recommend

10/10

May 15, 2025

We’ve used it to scale data operations across business units without duplicating effort. It’s helped us roll out new pipelines and analytics use cases faster across the enterprise.

Pros

Unlike many tools that work fine in POCs but fall short at scale, Gathr.ai was clearly built for real-world use. It has held up well as our data and use cases have expanded.

Cons

No blockers to date. It’s been easy to scale both technically and across the organization.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

AP

Aneesh P.

Software Engineer

Information Technology and Services

### "Handles enterprise-scale workloads reliably "

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

4.0

4.0

Likelihood to Recommend

8/10

May 15, 2025

Gathr.ai gives us confidence in scaling critical pipelines to production without compromising SLAs or stability. This has helped us reduce late-stage surprises during deployment.

Pros

The platform handles heavy, mixed workloads—batch and real-time—without degrading performance. It’s been reliable during high-traffic periods and seasonal peaks

Cons

So far, it has delivered consistently under load. No complaints on this front.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

AA

Akash A.

Software Engineer

Computer Networking

### "- Built for real-world scale, not just prototypes"

4.0

Overall Rating

4.0

4.0

Ease of Use

4.0

4.0

Features

4.0

4.0

Customer Service

0.0

0.0

Likelihood to Recommend

7/10

May 13, 2025

Pros

Unlike many tools that work fine in POCs but fall short at scale, Gathr.ai was clearly built for real-world use. It has held up well as our data and use cases have expanded.

Cons

No blockers to date. It’s been easy to scale both technically and across the organization.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

SM

Sayeed M.

Senior Software Engineer

Information Technology and Services

### "Easy to build pipelines with NL support "

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

5.0

5.0

Likelihood to Recommend

10/10

May 9, 2025

Gathr.ai is helping my team save a lot of engineering effort. By using NL to perform complex data transformation tasks, we’ve been able to expedite pipeline building for multiple downstream use cases.

Pros

Love that I can use simple, natural language prompts to search for relevant data assets, transform data, and even build pipelines.

Cons

Not really a lot of negatives so far. Been using Gathr.ai on a daily basis for 2+ years and still going strong.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

FK

Farheen k.

Associate Software Engineer

Information Technology and Services

### "Keeps our pipelines resilient "

5.0

Overall Rating

5.0

5.0

Ease of Use

4.0

4.0

Features

5.0

5.0

Customer Service

5.0

5.0

Likelihood to Recommend

10/10

May 9, 2025

With fewer pipeline failures and shorter debugging cycles, we can spend more time innovating and tackling certain use cases we didn’t have time for earlier. Also, reduces manual efforts of creating Data pipelines.

Pros

Before working with Gathr.ai, we had every kind of data issue—drift, late events. Gathr made our pipelines resilient without overengineering. Easy to create data engineering pipelines.

Cons

No deal breakers yet. There's could be more learning material available online though. Session connection can be made more faster without frequent disruption. There must be more learning videos so it will be easier to interact with Gathr.ai for a new user in a team.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

SC

Shubham C.

Software Enginer

Defense & Space

### "Gathr Reveiw"

4.0

Overall Rating

4.0

4.0

Ease of Use

4.0

4.0

Features

3.0

3.0

Customer Service

4.0

4.0

Likelihood to Recommend

8/10

May 9, 2025

If I am talking about my experience, it has been good. It has helped us significantly reduce development effort and time.

Pros

The platform handles heavy, mixed workloads—batch and real-tie. It’s been reliable during for a large data. It provide a no-code platform.

Cons

Although the platform is good, it degrades some performance compared to directly writing code in Spark.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

KS

Khilan Singh L.

Module Lead

Information Technology and Services

### "BDATeam developers "

3.0

Overall Rating

3.0

3.0

Ease of Use

4.0

4.0

Features

3.0

3.0

Customer Service

3.0

3.0

Likelihood to Recommend

6/10

May 9, 2025

It provides the plateform to create the spark job very easily and we don't have to worry about monitoring and much validation.,

Pros

We don't have to Monitor all the spark jobs, and it provide central storage it all stored.

Cons

It is very inconsistent, sometimes it works and sometimes it doesn't. Deployment of the pipeline from one ENV to another ENV is very difficult and paraller user working is not supported. There is no way to take diff from two version of same pipeline. There is no option to perform the regration testing or automatic test cases.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

BQ

Bilal Q.

Lead Software Engineer

Information Technology and Services

### "Low code no code functionality for creating high data rate pipelines."

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

4.0

4.0

Customer Service

5.0

5.0

Likelihood to Recommend

9/10

April 11, 2025

We are creating complex solution for the big data problems like correlation and aggregation on big data with large dataset and with 250+ columns.

Pros

Creating pipelines for Big data system is simple with drag and drop feature

Cons

Creating dynamic pipeline based on dynamic data in source is very difficult.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

AP

Abhinav P.

Software Engineer

Information Technology and Services

### "Impressive data integration capabilities "

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

5.0

5.0

Likelihood to Recommend

10/10

April 9, 2025

Gathr has helped free us from time-consuming, tedious, manual plumbing work across data integration, pipeline orchestration and maintenance. We are now able to focus more on analytics and uncovering insights.

Pros

Gathr’s data integration capabilities are outstanding. Three things that stood out for me and my team: #1 Handles both batch and streaming data at any scale. #2 Tracks data lineage in real-time, with visibility into each transformation step. #3 Offers an easy-to-use, drag-and-drop UI with built-in operators for smooth data preparation.

Cons

Even though the ingestion and integration process are smooth, setting up custom connectors requires a bit of additional effort. Also, if Gathr provided more templates, it would help analysts develop applications faster. Although, both are minor issues and not deal breakers!

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

AD

Akash D.

Module Lead

Information Technology and Services

### "A robust tool for integrating and preparing data"

5.0

Overall Rating

5.0

5.0

Ease of Use

4.0

4.0

Features

4.0

4.0

Customer Service

4.0

4.0

Likelihood to Recommend

8/10

December 26, 2024

Our team used to spend lot of time building and maintaining data workflows, which was less than ideal. With Gathr.ai we are able to harness our data the way we want to, reduce development time, and spend less cycles on fixing issues and maintaining pipelines. Same team is now focussing more on analytics and new-age AI initiatives.

Pros

Gathr.ai excels in handling large datasets and complex data workflows. Its ability to integrate and prepare data for analytics is second to none - not only it's super simple, but the pipelines have been running in prod, processing TBs of batch and real-time data on a daily basis, without any issues and performance bottlenecks.

Cons

So far, we haven’t found anything to complain about.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

RP

Ravindra P.

Lead Software Engineer

Information Technology and Services

### "Simple intuitive visual interface for data engineering"

5.0

Overall Rating

5.0

5.0

Ease of Use

4.0

4.0

Features

5.0

5.0

Customer Service

4.0

4.0

Likelihood to Recommend

9/10

December 26, 2024

It has streamlined our efforts required for building data pipelines significantly. Tasks that used to take months are now completed in days, boosting the overall productivity and saving us valuable time, resources and opportunity cost.

Pros

The intuitive visual interface is a game-changer for building data pipelines. It simplifies what used to be a tedious process, allowing us to design and deploy workflows much faster without complex coding.

Cons

Haven’t faced any real drawbacks so far.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

NP

Nikesh P.

Senior Lead Software Engineer

Information Technology and Services

### "Exceptional Real-Time Analytics Platform"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

4.0

4.0

Likelihood to Recommend

10/10

December 6, 2024

Gathr’s seamless handling of both batch and streaming data is truly unparalleled. Its in-built machine learning capabilities enable us to build regression models effortlessly, delivering deeper insights into customer behavior and enhancing our analytical capabilities.

Pros

Gathr’s ability to handle both batch and streaming data seamlessly is unparalleled. The in-built machine learning capabilities allow us to build regression models quickly, providing deeper insights into customer behavior.

Cons

The UI could be slightly more customizable to suit specific workflows, but it doesn’t detract much from the overall experience.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

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