# Gathr.ai Reviews **Vendor:** Gathr.ai **Category:** [Big Data Integration Platforms](https://www.g2.com/categories/big-data-integration-platforms) **Average Rating:** 4.8/5.0 **Total Reviews:** 34 ## About Gathr.ai 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 Pros & Cons **What users like:** - Users appreciate the **seamless integrations** with various data sources, simplifying the process of building AI-driven analytics. (9 reviews) - Users value Gathr.ai's **efficient data quality management** , enabling quick actions and high-quality insights from diverse data sources. (7 reviews) - Users value the **easy drag-and-drop UI** of Gathr.ai, making data integration and ETL application building effortless. (6 reviews) - Users love the **ease of use** of Gathr.ai, particularly for drag-and-drop ETL application creation and configuration. (6 reviews) - Users value the **easy integrations** with Gathr.ai, making it simple to build and scale applications effectively. (6 reviews) - Features (6 reviews) - Scalability (6 reviews) - Real-time Updates (5 reviews) - Reliability (5 reviews) - Users appreciate the **automation features** of Gathr.ai, enabling fast, efficient data pipeline creation without complex coding. (4 reviews) **What users dislike:** - Users note **access issues** due to the need for more native connectors, complicating integration with other tools. (1 reviews) - Users initially experience **connection issues** with legacy system configurations, though support offers prompt assistance and solutions. (1 reviews) - Users find the **difficult setup** for custom connectors slightly challenging but manageable, appreciating the overall integration process. (1 reviews) - Users face difficulties due to a **lack of real-time data** , impacting performance evaluation and pipeline improvements. (1 reviews) - Users need to be more **technical for performance optimization** in Gathr.ai, with challenges in monitoring data transfer. (1 reviews) - Users find the **steep learning curve** of Gathr.ai challenging when creating dynamic pipelines from data sources. (1 reviews) - Users mention that **API syncing issues** can hinder the overall experience, though it's considered a minor concern. (1 reviews) - Technical Expertise (1 reviews) - Update Issues (1 reviews) ## Gathr.ai Reviews ### 1. Simplified data transformation for GenAI success **Rating:** 4.5/5.0 stars **Reviewed by:** siddharth g. | Senior Big Data Developer, Mid-Market (51-1000 emp.) **Reviewed Date:** June 05, 2025 **What do you like best about Gathr.ai?** 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. **What do you dislike about Gathr.ai?** 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. **What problems is Gathr.ai solving and how is that benefiting you?** 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. ### 2. Enables deep, self-service data exploration **Rating:** 5.0/5.0 stars **Reviewed by:** Neha G. | Module Lead Quality Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** July 28, 2025 **What do you like best about Gathr.ai?** Our business team can finally explore warehouse data freely and derive high quality insights – no need to repeatedly raise ad-hoc requests with analysts. They can converse with their data in plain language and get instant, high-quality answers. **What do you dislike about Gathr.ai?** So far it seems to be working fine. The results are far better than the generic, shallow insights we were getting from earlier tools. **What problems is Gathr.ai solving and how is that benefiting you?** Gathr.ai has empowered our business users with easy access to high-quality intelligence. They used to rely heavily on analysts to test and validate theories — especially ahead of leadership reviews or planning sessions. This dependency has reduced significantly. ### 3. Instantly feeds complete data context to AI **Rating:** 5.0/5.0 stars **Reviewed by:** Durgesh Kumar S. | Lead QA Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** July 28, 2025 **What do you like best about Gathr.ai?** With Gathr.ai, we can instantly and effortlessly feed our full data context to AI. We no longer spend hours hand-stitching data context and can deliver high quality AI-driven analytics products much faster. **What do you dislike about Gathr.ai?** We’ve used Gathr.ai’s data warehouse intelligence to build and operationalize three use cases last week. Quite happy with the time to market and results so far! **What problems is Gathr.ai solving and how is that benefiting you?** Earlier, it used to take us months to build, test, and ship AI-driven analytics. We are now able to do this in weeks without worrying about pipeline maintenance or plumbing hassles. ### 4. Unified and effortless data processing **Rating:** 5.0/5.0 stars **Reviewed by:** Aditya M. | Lead Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** June 05, 2025 **What do you like best about Gathr.ai?** 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. **What do you dislike about Gathr.ai?** 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. **What problems is Gathr.ai solving and how is that benefiting you?** 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. ### 5. Effortless pipeline creation and workflow orchestration **Rating:** 5.0/5.0 stars **Reviewed by:** Hrithvik P. | Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** July 28, 2025 **What do you like best about Gathr.ai?** Using Gathr.ai, we were able to build pipelines and configure workflows in no time. My team quickly created complex data pipelines and automated multi-pipeline workflows using the tool’s drag-and-drop UI. **What do you dislike about Gathr.ai?** My team and I are quite happy with the platform so far. We’ve been using it for several months now. **What problems is Gathr.ai solving and how is that benefiting you?** Before using Gathr.ai, a huge amount of time and effort went into building data pipelines and orchestrating workflows. We can now manage the end-to-end process much more efficiently. Please describe the AI features of Gathr.ai and how you use them (for G2) We have been able to use natural language prompts to build data pipelines and even generate code. ### 6. Building data pipelines has become a lot easier **Rating:** 5.0/5.0 stars **Reviewed by:** Hari Vijay C. | Lead Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** April 10, 2025 **What do you like best about Gathr.ai?** Gathr’s low-code, drag-and-drop pipeline builder makes data integration fast and efficient. It simplifies building and deploying pipelines, reducing effort while improving speed. The automatic schema inference is another standout—it updates in real time, minimizing debugging and manual adjustments. **What do you dislike about Gathr.ai?** Gathr has exceeded my expectations. If I had to point out something, API syncing could be a bit smoother, but it’s a minor issue. Overall, there’s little to dislike. **What problems is Gathr.ai solving and how is that benefiting you?** Setting up and maintaining data pipelines used to be time-consuming. With Gathr, I can quickly build, test, and deploy pipelines with minimal effort. GathrIQ (Gathr’s Data+AI Copilot) makes this even easier by allowing data transformation and pipeline creation through simple natural language prompts. Plus, Gathr’s fault-tolerant self-healing capabilities have improved pipeline reliability and reduced downtime significantly. ### 7. Impressive data integration capabilities **Rating:** 5.0/5.0 stars **Reviewed by:** Abhinav P. | Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** April 09, 2025 **What do you like best about Gathr.ai?** 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. **What do you dislike about Gathr.ai?** 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! **What problems is Gathr.ai solving and how is that benefiting you?** 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. ### 8. Data warehouse intelligence seamlessly plugged into our stack **Rating:** 4.5/5.0 stars **Reviewed by:** Amisha K. | Module Lead Software Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** July 25, 2025 **What do you like best about Gathr.ai?** We could easily connect Gathr.ai’s data warehouse intelligence product directly to Snowflake and start building AI-driven analytics products. No glue code or re-platforming was needed. **What do you dislike about Gathr.ai?** Their data warehouse intelligence works well overall, will explore it further in the coming months. **What problems is Gathr.ai solving and how is that benefiting you?** Saves hours of plumbing effort — just snaps into the existing stack. We can now focus on delivering high-impact analytics use cases. ### 9. Great for real-time analytics **Rating:** 5.0/5.0 stars **Reviewed by:** Nikhil P. | Senior Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** July 25, 2025 **What do you like best about Gathr.ai?** Gathr.ai's data pipelining product helped us bring together data from multiple fragmented systems and convert it into live, decision-ready insights. It handles real-time processing well and made it easier for our teams to act on data as it arrives — not hours later. **What do you dislike about Gathr.ai?** Their product is solid overall. It would be helpful to have more advanced resources or walkthroughs focused on real-time analytics patterns. **What problems is Gathr.ai solving and how is that benefiting you?** We needed a way to monitor fast-moving data across systems and react quickly. Their product has reduced the lag between data generation and action, improving how we handle everything from campaign performance to operational metrics. ### 10. Delivers powerful intelligence from Redshift data **Rating:** 5.0/5.0 stars **Reviewed by:** Brahmajeet D. | Director - Sales & Marketing, Mid-Market (51-1000 emp.) **Reviewed Date:** July 30, 2025 **What do you like best about Gathr.ai?** Gathr.ai’s latest data warehouse intelligence capability has been a real game-changer! Our team is able to ask Redshift data sales related questions in natural language and get meaningful, data-driven answers. The insights it delivers are much deeper than what we were getting from other tools. **What do you dislike about Gathr.ai?** Just started using the data warehouse intelligence capability recently – but so far, it’s been smooth sailing. **What problems is Gathr.ai solving and how is that benefiting you?** We were finding it tough to formulate an explainable, data-driven action plan for certain sales use cases. Gathr.ai’s data warehouse intelligence helped us test various hypotheses, validate the responses, and deliver data-backed recommendations. ### 11. Built for operationalization, not just exploration **Rating:** 5.0/5.0 stars **Reviewed by:** Vedansh S. | Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** June 17, 2025 **What do you like best about Gathr.ai?** 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. **What do you dislike about Gathr.ai?** It’s been well-aligned with our operational requirements. No blockers encountered. **What problems is Gathr.ai solving and how is that benefiting you?** 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. ### 12. Brings structure to messy data **Rating:** 4.5/5.0 stars **Reviewed by:** Sourabh K. | Associate Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** June 10, 2025 **What do you like best about Gathr.ai?** Its ability to normalize inconsistent formats and semi-structured data has been invaluable. We don’t need custom glue code every time a new file layout appears. **What do you dislike about Gathr.ai?** Nothing to complain about. So far, it’s been able to handle even the edge cases in our data sources. **What problems is Gathr.ai solving and how is that benefiting you?** We’ve saved significant effort on preprocessing and cleanup. Gathr.ai lets us bring more raw data into our workflows, which directly increases our analytics coverage. ### 13. Improved time-to-insight across business units **Rating:** 5.0/5.0 stars **Reviewed by:** Rishi S. | Associate Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** June 05, 2025 **What do you like best about Gathr.ai?** 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. **What do you dislike about Gathr.ai?** Nothing stands out—it’s been effective across our analytics and AI use cases. **What problems is Gathr.ai solving and how is that benefiting you?** 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. ### 14. Good fit for cross-functional data teams **Rating:** 4.5/5.0 stars **Reviewed by:** Sohil P. | Associate Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** June 04, 2025 **What do you like best about Gathr.ai?** 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. **What do you dislike about Gathr.ai?** It’s been flexible across the board. No major friction points in our experience. **What problems is Gathr.ai solving and how is that benefiting you?** 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. ### 15. Ensures data quality across use cases **Rating:** 5.0/5.0 stars **Reviewed by:** Jigisha C. | Associate Software Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** July 28, 2025 **What do you like best about Gathr.ai?** I found Gathr.ai’s data pipelining product very useful for data quality management. We could easily define quality rules for different types of data and quickly perform necessary actions on faulty data. **What do you dislike about Gathr.ai?** My team and I are quite happy with the product so far. We’ve been using it for several months now. **What problems is Gathr.ai solving and how is that benefiting you?** Gathr.ai offers different categories of validation functions for different data types. This helps us profile our data efficiently and maintain data quality for all downstream use cases. ### 16. Makes unstructured data first-class **Rating:** 5.0/5.0 stars **Reviewed by:** Shanvi J. | Associate Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** June 06, 2025 **What do you like best about Gathr.ai?** 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. **What do you dislike about Gathr.ai?** Nothing worth noting—we’ve had success using it with a variety of data types. **What problems is Gathr.ai solving and how is that benefiting you?** 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. ### 17. Excellent for generating insights from social media **Rating:** 5.0/5.0 stars **Reviewed by:** Prateek D. | Associate Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** July 28, 2025 **What do you like best about Gathr.ai?** I really liked Gathr.ai’s no-code/low-code approach for analytics. It helped us generate data-driven insights from social media platforms and zero in on the best-fit influencers for our clients. **What do you dislike about Gathr.ai?** Gathr.ai is both affordable and highly capable. I can’t complain. **What problems is Gathr.ai solving and how is that benefiting you?** Gathr.ai helped us aggregate data of thousands of influencers and analyze attributes like audience demographics, engagement metrics, and category fitment. We could confidently recommend the most suitable creators for our clients’ campaigns. ### 18. The best product for ETL **Rating:** 5.0/5.0 stars **Reviewed by:** Shahana K. | Manager Software Engineering, Mid-Market (51-1000 emp.) **Reviewed Date:** July 23, 2025 **What do you like best about Gathr.ai?** 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. **What do you dislike about Gathr.ai?** There’s not much to dislike. Sometimes I wish they would update the documentation more frequently. **What problems is Gathr.ai solving and how is that benefiting you?** We’ve been able to seamlessly run robust ETL applications on Amazon EMR clusters, while monitoring detailed metrics for each task and instance. ### 19. Accelerates launch of production-grade AI and analytics **Rating:** 4.5/5.0 stars **Reviewed by:** Archit N. | Lead Big Data Admin, Mid-Market (51-1000 emp.) **Reviewed Date:** June 26, 2025 **What do you like best about Gathr.ai?** It supports building and deploying reliable data and AI workflows that hold up in production. We’ve used it across multiple functions, and the outputs remain stable and consistent over time. **What do you dislike about Gathr.ai?** We haven’t run into issues moving workloads to production. It’s been stable and consistent. **What problems is Gathr.ai solving and how is that benefiting you?** It’s helped us reduce the time and effort needed to operationalize pipelines. We’re able to deploy AI and analytics use cases faster, with fewer reworks and smoother transitions from dev to production. ### 20. Great for anomaly detection **Rating:** 5.0/5.0 stars **Reviewed by:** Divyansh A. | Module lead software engineer, Enterprise (> 1000 emp.) **Reviewed Date:** July 28, 2025 **What do you like best about Gathr.ai?** It helped us detect behavioral anomalies across data from thousands of applications in real time, using Artificial Intelligence/Machine Learning. **What do you dislike about Gathr.ai?** Working well so far, haven’t come across any major issues till date. **What problems is Gathr.ai solving and how is that benefiting you?** We were able to process thousands of records per second, monitor suspicious user behavior, and configure real-time alerts for effective threat detection. ### 21. Stable foundation for real-world data+AI pipelines **Rating:** 5.0/5.0 stars **Reviewed by:** Nikita A. | Associate Manager Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** June 24, 2025 **What do you like best about Gathr.ai?** Gathr.ai allows us to build data and AI applications that are production-grade from day one. No throwaway work or migration needed when moving from exploration to deployment. **What do you dislike about Gathr.ai?** It’s met our production needs well. No major issues to note. **What problems is Gathr.ai solving and how is that benefiting you?** We’ve moved multiple critical data and AI workflows to Gathr.ai. It’s helped reduce post-deployment firefighting and brought greater consistency in how we manage, monitor, and scale production jobs. ### 22. Reliable platform for scaling data + AI workloads **Rating:** 5.0/5.0 stars **Reviewed by:** Aksh T. | Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** May 22, 2025 **What do you like best about Gathr.ai?** Gathr.ai gives us a unified approach to manage data engineering, AI integration, and workflow orchestration at scale. It has given our teams more control and clarity across the pipeline lifecycle, from ingestion to inferencing. **What do you dislike about Gathr.ai?** Overall, it has performed reliably across a wide range of workloads. We’ve had no major issues. **What problems is Gathr.ai solving and how is that benefiting you?** We use it to unify data across systems and streamline prep for AI use cases. This has improved our ability to operationalize analytics across business functions without additional rework. ### 23. Flexibility to work with LLMs of your choice **Rating:** 5.0/5.0 stars **Reviewed by:** Sanidhya P. | Associate Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** May 16, 2025 **What do you like best about Gathr.ai?** Gathr.ai gave us the flexibility to integrate self-hosted LLMs directly into our pipelines. This allowed us to keep sensitive data in our environment without limiting the scope of our AI use cases **What do you dislike about Gathr.ai?** So far so good! Our team plans to try out more functionalities in the coming weeks. **What problems is Gathr.ai solving and how is that benefiting you?** Gathr has strict data privacy and compliance requirements, so the ability to integrate our own self-hosted LLMs has been very helpful. This wasn’t an option with the platform we were using earlier. ### 24. Gather Review **Rating:** 5.0/5.0 stars **Reviewed by:** Kunal M. | Associate Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** May 16, 2025 **What do you like best about Gathr.ai?** 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. **What do you dislike about Gathr.ai?** The platform has held up well under complex conditions. It’s been dependable across scenarios. **What problems is Gathr.ai solving and how is that benefiting you?** 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. ### 25. Easy to build pipelines with NL support **Rating:** 5.0/5.0 stars **Reviewed by:** Sayeed M. | Senior Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** May 09, 2025 **What do you like best about Gathr.ai?** Love that I can use simple, natural language prompts to search for relevant data assets, transform data, and even build pipelines. **What do you dislike about Gathr.ai?** Not really a lot of negatives so far. Been using Gathr.ai on a daily basis for 2+ years and still going strong. **What problems is Gathr.ai solving and how is that benefiting you?** 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. ### 26. Low code no code functionality for creating high data rate pipelines. **Rating:** 4.5/5.0 stars **Reviewed by:** Bilal Q. | Lead Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** April 11, 2025 **What do you like best about Gathr.ai?** Creating pipelines for Big data system is simple with drag and drop feature **What do you dislike about Gathr.ai?** Creating dynamic pipeline based on dynamic data in source is very difficult. **What problems is Gathr.ai solving and how is that benefiting you?** We are creating complex solution for the big data problems like correlation and aggregation on big data with large dataset and with 250+ columns. ### 27. Easy way to work with both data & AI **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer & Network Security | Mid-Market (51-1000 emp.) **Reviewed Date:** May 22, 2025 **What do you like best about Gathr.ai?** Really impressed with how Gathr.ai provides a unified experience for both data & AI. We were able to move from Spark-heavy ETL to smarter pipelines that combine rules, AI, and streaming—all in a single flow. **What do you dislike about Gathr.ai?** Nothing major so far, pretty much found everything we needed to build an AI application from start to finish. **What problems is Gathr.ai solving and how is that benefiting you?** Instead of switching between multiple tools, we can now combine data processing and AI in a single flow on one interface. Plus, all our teams are working off the same view, which has helped us save time. ### 28. A robust tool for integrating and preparing data **Rating:** 4.5/5.0 stars **Reviewed by:** Shubham K. | Senior Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** December 26, 2024 **What do you like best about Gathr.ai?** 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. **What do you dislike about Gathr.ai?** So far, we haven’t found anything to complain about. **What problems is Gathr.ai solving and how is that benefiting you?** 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. ### 29. Gathr - Experience **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** May 16, 2025 **What do you like best about Gathr.ai?** 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. **What do you dislike about Gathr.ai?** The user journey has been fairly smooth so far—we handled complex pipelines without any major issues. **What problems is Gathr.ai solving and how is that benefiting you?** 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. ### 30. Seamless Integration and Powerful Data Processing **Rating:** 5.0/5.0 stars **Reviewed by:** Akash D. | Module Lead, Mid-Market (51-1000 emp.) **Reviewed Date:** December 06, 2024 **What do you like best about Gathr.ai?** Gathr excels at integrating data from diverse sources with minimal latency. Its drag-and-drop interface makes designing data pipelines intuitive, and the ability to process Terabytes of streaming data per day in near real-time has been a game-changer for us. The pre-built connectors saved us weeks of development effort. **What do you dislike about Gathr.ai?** We initially faced issues with connector configurations for legacy systems. However, Gathr’s support team was quick to provide workarounds and updates. **What problems is Gathr.ai solving and how is that benefiting you?** Gathr’s capabilities in streamlining ETL processes have enabled us to analyze critical data in near real time, improving our decision-making and accelerating business outcomes. ### 31. Simple intuitive visual interface for data engineering **Rating:** 4.5/5.0 stars **Reviewed by:** Ravindra P. | Lead Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** December 26, 2024 **What do you like best about Gathr.ai?** 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. **What do you dislike about Gathr.ai?** Haven’t faced any real drawbacks so far. **What problems is Gathr.ai solving and how is that benefiting you?** 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. ### 32. Exceptional Real-Time Analytics Platform **Rating:** 5.0/5.0 stars **Reviewed by:** Nikesh P. | Senior Lead Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** December 06, 2024 **What do you like best about Gathr.ai?** 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. **What do you dislike about Gathr.ai?** The UI could be slightly more customizable to suit specific workflows, but it doesn’t detract much from the overall experience. **What problems is Gathr.ai solving and how is that benefiting you?** Gathr helps us identify trends and anomalies in near real time, enabling proactive strategies. This has drastically improved operational efficiency and customer satisfaction. ### 33. Gathr is just awesome ETL and analytical solution for enterprises. **Rating:** 5.0/5.0 stars **Reviewed by:** Baljeet Y. | Technical Architect, Enterprise (> 1000 emp.) **Reviewed Date:** April 10, 2024 **What do you like best about Gathr.ai?** It has wide range of ETL capabilities and offering across platforms ( cloud and on premises) No code low code support using its pipeline ui designer. Support of data science models. We were offered 400 free credit points to try it at our end, that was enough for us to process our 1 month data. Support team is also very much approachable and supportive. **What do you dislike about Gathr.ai?** We were using other ETL tool earlier but after using Gathr, I don't have any specific thing to put into dislike category. May be I can provide more details on this after using it for a longer period. **What problems is Gathr.ai solving and how is that benefiting you?** We have to process bulky data every alternative days that was coding too much on old ETL tool. After switching to Gathr our processing cost reduced significantly. It's ETL pipeline designer is simply awesome. ### 34. To collect my all data quickly from any sources and do analytics is awesome with gathr **Rating:** 4.5/5.0 stars **Reviewed by:** Anshul J. | Information Technology and Services, Enterprise (> 1000 emp.) **Reviewed Date:** April 11, 2023 **What do you like best about Gathr.ai?** Easy Drag and Drop pipeline creation , self guided UI to configure connection , integrate sources or sink is too easy. It offers a pay-as-you-go pricing model, which allows users to pay only for what they use, making it cost-effective for both small and large-scale use cases. **What do you dislike about Gathr.ai?** One need to bit more technical in case of checking performance or improving performance of pipeline , with real time streaming , I an unable to see how much data is transferred **What problems is Gathr.ai solving and how is that benefiting you?** The problem of collecting data from different sources and doing analytics with no coding is solved by gathr, lots of business insights now can be done easily by creating pipeline over it and get information from huge data easily, without any coding. Lots of options to manipulate data, transform it , and make it feature rich software. Integration: It integrates with a wide range of data sources and platforms, such as Kafka, Hadoop, and Spark, making it easy to use with existing data infrastructure. Flexibility: It supports various data processing and analytics use cases, such as IoT, fraud detection, and predictive maintenance, making it flexible and adaptable to different business needs. Pricing is great ,we are getting 4000 credits monthly free. - [View Gathr.ai pricing details and edition comparison](https://www.g2.com/products/gathr-ai/reviews?section=pricing&secure%5Bexpires_at%5D=2026-06-13+11%3A50%3A52+-0500&secure%5Bsession_id%5D=d20ca4f1-3e07-4188-8680-87da60b75324&secure%5Btoken%5D=25c4f3e99e73d2cf486384eb5bbd0f79a3ceb71857e87e92707d27582d597331&format=llm_user) ## Gathr.ai Integrations - [Agentforce 360 Platform (formerly Salesforce Platform)](https://www.g2.com/products/agentforce-360-platform-formerly-salesforce-platform/reviews) - [Agentforce Sales (formerly Salesforce Sales Cloud)](https://www.g2.com/products/agentforce-sales-formerly-salesforce-sales-cloud/reviews) - [Amazon Athena](https://www.g2.com/products/amazon-athena/reviews) - [Amazon EMR](https://www.g2.com/products/amazon-emr/reviews) - [Azure Databricks](https://www.g2.com/products/azure-databricks/reviews) - [Azure Data Factory](https://www.g2.com/products/azure-data-factory/reviews) - [Azure OpenAI Service](https://www.g2.com/products/azure-openai-service/reviews) - 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[Slack](https://www.g2.com/products/slack/reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) ## Gathr.ai Features **Reports** - Reports Interface - Steps to Answer - Graphs and Charts - Score Cards - Dashboards **Data Source Access** - Breadth of Data Sources - Ease of Data Connectivity - API Connectivity **Management** - Reporting - Auditing **Data Preparation** - Connectors - Data Governance **Database** - Real-Time Data Collection - Data Distribution - Data Lake **Data Transformation** - Real-Time Analytics - Data Querying **Data Interaction** - Profiling and Classification - Metadata Management - Data Modeling - Data Joining - Data Blending - Data Quality and Cleansing - Data Sharing - Data Governance **Functionality** - Extraction - Transformation - Loading - Automation - Scalability **Data Modeling and Blending** - Data Querying - Data Filtering - Data Blending **Integrations** - Hadoop Integration - Spark Integration **Data Exporting** - Breadth of Integrations - Ease of Integrations - Data Workflows **Generative AI** - AI Text Generation - AI Text Summarization **Platform** - Machine Scaling - Data Preparation - Spark Integration **Connectivity** - Hadoop Integration - Spark Integration - Multi-Source Analysis - Data Lake **Generative AI** - AI Text Generation **Agentic AI - Analytics Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Self Service ** - Calculated Fields - Data Column Filtering - Data Discovery - Search - Collaboration / Workflow - Automodeling **Processing** - Cloud Processing - Workload Processing **Operations** - Data Visualization - Data Workflow - Governed Discovery - Embedded Analytics - Notebooks **Deployment & Integration - Analytics Platforms** - No-code Dashboard Builder - Report Scheduling and Automation - Embedded Analytics and White-labeling - Data Source Connectivity **Advanced Analytics** - Predictive Analytics - Data Visualization - Big Data Services **Performance & Scalability - Analytics Platforms** - Large data handling and Query Speed - Concurrent User Support **Advanced Analytics & Modeling - Analytics Platforms** - Data Modeling and Governance - Notebook and Script Integration - Built-in Predictive and Statistical Models **Agentic AI Capabilities - Analytics Platforms** - Auto-generated Insights and Narratives - Natural Language Queries - Proactive KPI Monitoring and Alerts - AI Agents for Analytical Follow-ups **Personalized Intelligence - Analytics Platforms** - Behavioral Learning for Contextual Query Refinement - Role-based Insight Personalization - Conversational and Prompt-based Analytics **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 ## Top Gathr.ai Alternatives - 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