Capterra 
G2 Jeferson A.
Performance Marketing, Appmax
Marco R
"The definitive ETL tool. — What do you like best? Hevo is extremely quick to connect, and it has a simple plug-n-play approach that allows us to connect to many sources and start copying our data into our destinations within minutes. — What do you dislike? UI is not optimized for mobile, scheduling workflows could be a little more gran..." Read more
3 years ago
Mashal K
"Zero Code- Seamless Experience. — What do you like best? 1. Flexibility to do ingestion in the way we want2. Customer Support in case of any issues3. Zero Code — What do you dislike? 1. Alerting system can be designed better — What problems are you solving with the product? What benefits have you realized? -Ingestion of d..." Read more
3 years ago
Naisheel V.
Co-founder, CityMall
"1) Self serve product with super UX - we were able to start our pipelines by ourselves within a day 2) Detailed documentation for every source / destination with appropriate up-to-date references 3) Was impressed by the overall speed - after submitting a job to queue, it picks up the job almost immediately 4) Transformation supports Python which is great,..." Read more
3 years ago
Administrator in Financial Services
"Amazing tool to perform ETL for your data. — What do you like best? 1. The User experience2. The support provided3. Most importantly the tool is so easy to use and perform complete ETL operation that helps us in moving data from one database to another — What do you dislike? 1. Sometimes we encounter that pipeline is stopped because of..." Read more
3 years ago
Raghava M
"Hevo is fastest ETL tool. — What do you like best? Fastest data migration and update through Pipelines — What do you dislike? Need to skip the unnecessary collections manually which will take more time. — What problems are you solving with the product? What benefits have you realized? Bringing all the MongoDB data to Amazo..." Read more
3 years ago
Megan V
"Hevo is very easy to use and user-friendly. It has great functionality. — What do you like best? The ability to customise the process. For example, to setup different pipeline modes and the python transformation one can apply — What do you dislike? It does not seem to work well with initial uploads when there are more than 1 million re..." Read more
3 years ago
Nilesh S
"User friendly, highly automated tool. No extra learning to get on-boarded. — What do you like best? Hevo is easy to use tool, least friction to get onboarded.Highly automated, few clicks and pipelines will be created.Large coverage of sources.Pieces like models, workflow makes it very handy to use.Excellent support team. — What do you dislik..." Read more
4 years ago
Marco R.
Head of BI, Playtomic SL
"It was really easy to set up both on our Mongo Atlas and Amazon Aurora connections where other services failed."
4 years ago
User in Health, Wellness and Fitness
"A fantastic data pipeline as a service. — What do you like best? Amazing UI, Easy to use. Minimal coding. The replay queue is a fantastic feature. Building new pipelines are very easy and bootstrapping is optimized for. — What do you dislike? 1-2 integrations were not present for tools we were using — What problems are you solvin..." Read more
4 years ago
Artemiy K
"Automating Data Pipelines has never been easier. — What do you like best? It has suited all our needs.- The most critical part was reading Oplog from production MongoDB replica.- Cleaning PII and sensitive data on the fly before loading to DWH- Wide range of sources and even Webhooks (any arbitrary source) — What do you dislike? There..." Read more
4 years ago
Vlad Z
"First version of our Datalake bootstrapped in Days instead of Weeks. — What do you like best? - easy to configure- lambda-style data transformation- autodiscovery of schema and schema changes- reliability- multiple connectors — What do you dislike? - pricing per events - too linear - would love to get more events for rows that change v..." Read more
4 years ago
Emmet M
"Excellent data warehouse pipeline tool. — What do you like best? Hevo pipelines are performant and reliable. The user interface is well designed, both easy-to-use and provides best-of-breed monitoring. Customer service has been friendly and supportive. — What do you dislike? For certain data sources, Hevo marks records deleted rather t..." Read more
4 years ago
Swati S
"Best ETL tool out there!! — What do you like best? User InterfaceConnectors/Data SourcesDeveloper Friendly Very Easy to UseAbility to create ModelsPrompt and Friendly Customer Support — What do you dislike? Initially only a few sources and connectors were available. Lately looks like Hevo has brought in and added support for a lot more..." Read more
4 years ago
Verified Reviewer
"Ease of use: Hevo's UI is very intuitive and easy to learn. With couple of clicks we can easily build scalable pipelines. Data Transformations: We can write our transformations in python. Hevo also provides out of the box flattening of complex nested json which is very handy while building Mongo pipelines. Quick and efficient Support: Hevo Support team are q..." Read more
4 years ago
Artemiy K.
Senior Data Engineer, Wheely
"Absolutely great. In terms of service itself, reliability, customer support. It has suited all our needs. - The most critical part was reading Oplog from production MongoDB replica. - Cleaning PII and sensitive data on the fly before loading to DWH - Wide range of sources and even Webhooks (any arbitrary source)"
4 years ago
Verified Reviewer
"Hevo won our lengthy product comparison against other leading tools like Stitch Data, Fivetran, Matillion, etc. They provide best-of-breed usability, scale, reliability and latency. Their monitoring, schema mapping, error handling and replay capabilities are excellent. We are supporting near real-time reporting in a Snowflake warehouse thanks to Hevo's strea..." Read more
4 years ago
Himanshu G.
Principal, Data and Insights, Zetwerk Manufacturing Business Pvt. Ltd.
"Provides features like Workflows which would help us to create data mart."
4 years ago
Nilesh S.
Data Engineer, Cure.Fit
"Its an awesome product. Really very good one to get started with very little friction. The things which I most like about Hevo is the automation level in the product. Hevo will take care of everything from source mapping to destination mapping with just a few clicks. It has many useful features, be it table/column auto-mapping , resizing and basic transforma..." Read more
4 years ago
Kushan S.
Principal Architect, Fynd
"Overall, I've seen the product evolve from a beta version to a very mature one in less than a year. Our Analytics team is very happy and can sleep soundly given Hevo is doing the heavy lifting round the clock."
4 years ago
Animesh B.
Data Scientist, Docon Technologies
"Hevo has been exceptional for us to scale our data warehouse from 0-1. We have barely faced issues with hevo and whenever we have, hevo support has always quickly helped us solve issues. Onboarding new pipelines is very easy to do and negligible dev effort is required."
4 years ago
Verified Reviewer
"Data is made available in minutes instead of hours as we've shifted away from the traditional ETL approach. Analysts are happy with quick availability. Support has almost always been prompt."
4 years ago
Verified Reviewer
"Great customer care team. Smooth OpLog/Change Stream based syncing is one of the strongest reasons I stick to this platform."
4 years ago
Nishanth K.
Data Engineer, Docon Technologies
"We are using hevo to get Data seamlessly from our transactional DB to our datawarehouse. Hevo is reliable and plays an important part in our data pipelines."
4 years ago
Swati S.
Engineering Manager, Curefit
"Hevo is extremely user friendly and very seamless. Data pipelines can be set in a matter of a few clicks. Our business users are extremely happy with all the data at their disposal for any analysis that they need to do. Hevo's support is very prompt and always available to answer your queries."
4 years ago
"It's very easy to use. It's a very simples and intuitive. Without code i can make a great dashboard in my company."
3 years ago