Sobre Hevo

Hevo es una plataforma de flujo de datos sin código que te permite migrar datos de cualquier fuente a tu almacén de datos en tiempo real.

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Puntos a favor:

We really love that fact that we can easily access 3rd party API's through the Hevo interface.

Puntos en contra:

Sometimes I'd like to have it sync a view from my source system but it struggles with this. Instead I make it sync the source tables of the view.

Valoraciones de Hevo

Evaluación media

Facilidad de uso
4,7
Atención al cliente
4,7
Funciones
4,5
Relación calidad-precio
4,6

Probabilidad de recomendación

9,2/10

Hevo tiene una valoración global de 4,7 estrellas sobre 5 según las 42 opiniones de usuarios de Capterra.

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James q C.
James q C.
Director of Digital Marketing en EE. UU.
Usuario de Linkedin verificado
Servicios financieros, 2-10 empleados
Ha utilizado el software durante: Prueba gratis
Fuente de la reseña

Excellent Data Pipeline

5,0 hace 6 días Nuevo

Comentarios: It was very easy to sign up and set up Facebook to BigQuery. The user UI is easy to use and step-by-step instructions are included. You don't need a dev to get things moving as long as you're passingly familiar with Facebook and BigQuery and can read directions.

Puntos a favor:

I used Hevo to pipeline data from Facebook into Big Query. The service worked as expected and properly transferred my data. It was one of several services I evaluated for our data pipeline needs.

Puntos en contra:

I had some integration needs that HEVO did not include, so I had to go with another provider who included those. Otherwise, HEVO was amongst my top choices.

Ben C.
VP of SWE and Data en EE. UU.
Electrónica de consumo, 11-50 empleados
Ha utilizado el software durante: Prueba gratis
Fuente de la reseña

Hevo Data saved us

5,0 la semana pasada Nuevo

Puntos a favor:

Hevo Data saved our company in more ways than one. For the bi-directional Hubspot features alone, this tool is worth the cost for us, hands-down. We were able to pull all of our Hubspot data into our data warehouse, annotate, and push back to custom properties and objects. The tool worked so well, we began using it as the core ETL connector for our data lake, and are testing as our scheduled task manager for the core transformations for our data warehouse. The pricing model has worked out well for us. The free trial to prototype how the thing works, and how we could be efficient with our usage of connectors, has also been wonderful.

Puntos en contra:

THe list of connectors is really good, but not 100% where we wish. In addition, migrations from one tool to another (e.g. Intercom -> Hubspot) require us to do a bunch of manual mapping that is hard; other tools have these mappings canned and are therefore easier to use for that use-case.

Alternativas consideradas: Zapier y Help Desk Migration

Razones para elegir Hevo: This tool is much more powerful, cost-effective and aligned with our needs.

Software anterior: Zapier

Razones para cambiar a Hevo: We are using Hevo Data in conjunction with Help Desk Migration, which does the mapping we need for us.

Usuario verificado
Data Engineer en Australia
Usuario de Linkedin verificado
Tecnología y servicios de la información, 51-200 empleados
Ha utilizado el software durante: 1-5 meses
Fuente de la reseña

Good Product

3,0 hace 3 meses

Puntos a favor:

I really like the ease with which you can deploy the tool

Puntos en contra:

The tool can get better in documentation and video tutorials.

Usuario verificado
Data and Analytics Manager en Brasil
Usuario de Linkedin verificado
Servicios financieros, 51-200 empleados
Ha utilizado el software durante: 6-12 meses
Fuente de la reseña

The best Data Extraction service for Startups

5,0 hace 3 meses

Comentarios: Hevo was the ideal tool that I needed to bootstrap our data infrastructure. As the person who set everything up I am very satisfied with them and hope that this will be a long partnership.

Puntos a favor:

Hevo is very easy to set up (the whole process is self explanatory) and has a lot of integrations. It also allows for a lot of flexibility with Rest API and Webhook integrations. The UI is very well tought out and the whole product feels professional. I should also point out the Consumer Service, which is great and very helpfull. I get answers every time I talk to them, and I feel my problems are being taken seriously.

Puntos en contra:

Hevo doesn't allow precise control of the Ingestion and Loading frequency and times. You can only choose a frequency or specify certain times, but even this one is limited to a certain number of runs. This is our only limitation with Hevo right now.

Julia R.
Data Analyst en EE. UU.
Administración educativa, 201-500 empleados
Ha utilizado el software durante: Prueba gratis
Fuente de la reseña

My ETL tool choice

5,0 hace 3 meses

Comentarios: I was able to put all my database sources together to create our own database, with just the data we needed.

Puntos a favor:

The customer service is great, they were always ready to help, very kind. Great sources opinions, to integrate with and to use as destination.

Puntos en contra:

It can be complicated to make a pipeline with some specific source and it doesn’t seem to have an easy solution to fix the issue.

Alternativas consideradas: Switchit

Razones para cambiar a Hevo: Price at first. Then the customer service locked me in.

Brent S.
Brent S.
Director of Data Management en EE. UU.
Usuario de Linkedin verificado
Servicios financieros, 51-200 empleados
Ha utilizado el software durante: 1-5 meses
Fuente de la reseña

Hevo data for Extraction and Loading to Snowflake

5,0 hace 2 meses

Comentarios: Very Pleasing. I set it up once and I don't have to worry about it again.

Puntos a favor:

Simple and effective hassle free table syncing between Cloud VM SQL Server and Snowflake DWH.

Puntos en contra:

Getting Hevo white listed with other vendors such as FTP sites is the first big hurdle. Sometimes I'd like to have it sync a view from my source system but it struggles with this. Instead I make it sync the source tables of the view.

Alternativas consideradas: Fivetran

Razones para cambiar a Hevo: Simple ease of use. It does what it says it does.

Julian G.
Analytics Engineer en Canadá
Hospital y atención sanitaria, 51-200 empleados
Ha utilizado el software durante: Más de un año
Fuente de la reseña

Accuracy and security at competitive pricing

4,0 hace 3 semanas Nuevo

Puntos a favor:

HIPAA compliance, data integrity, documentation, and support

Puntos en contra:

features I miss from Stitch like column level ingestion. Ingestion and loading logs are also quite thread-bare and hard to get much information on this.

Alternativas consideradas: Fivetran

Razones para elegir Hevo: data integrity issues

Razones para cambiar a Hevo: Price

Patrik B.
Chief of Staff en Suiza
Recursos Humanos, 51-200 empleados
Ha utilizado el software durante: 6-12 meses
Fuente de la reseña

ETL and API Access

5,0 hace 2 meses Nuevo

Puntos a favor:

We really love that fact that we can easily access 3rd party API's through the Hevo interface.

Puntos en contra:

Occasionally, it happened that integrations are not working the first time you set them up. Generally, adding the pipeline again to the system does the trick. Furthermore, you can reach out to the great support crew, and they will help you resolve the issue

Gurpreet S.
Gurpreet S.
Lead Data Analyst en India
Usuario de Linkedin verificado
Propiedad inmobiliaria comercial, 5.001-10.000 empleados
Ha utilizado el software durante: 6-12 meses
Fuente de la reseña

Easy to use

4,0 hace 2 meses Nuevo

Puntos a favor:

Ease of use, simple integration, simple transformation

Puntos en contra:

facing issues with deleted or changed entries(events) in the production database, as hevo_marked_delted is not getting updated for all entries and need to connect with cx care for this. For transform only having python 2.8, It should be of the latest version

Emre K.
Emre K.
Manager en Turquía
Usuario de Linkedin verificado
Logística y cadena de suministro, 201-500 empleados
Ha utilizado el software durante: 1-5 meses
Fuente de la reseña

An excellent etl tool for Startup and Scaleup companies

5,0 el mes pasado Nuevo

Puntos a favor:

It is easy to use and affordable, and also has a lot of integration.

Puntos en contra:

team management and customizable permission management aren't that good but that's not too much of a problem

David W.
David W.
Head of Data en Australia
Usuario de Linkedin verificado
Software informático, 51-200 empleados
Ha utilizado el software durante: 6-12 meses
Fuente de la reseña

Super-easy to deploy, great support

4,0 hace 3 meses

Comentarios: Hevo absolutely made it simple for us to move data from a wide range of disparate applications into a single Snowflake database.

Puntos a favor:

I like how easy - almost trivially so - that it is to get started with Hevo. It literally just works. The team have made it really simple to start, and include a free trial. Also the support team are excellent. It has great documentation as well so you can synchronise easily from a wide range of sources and destinations.

Puntos en contra:

Some things aren't as polished as you'd like. For instance, you can't categorise pipelines or sort them into folders. You simply have a huge list. Also, there's no easy way - without programming it yourself using the Hevo API - to manage pipelines in bulk. Let's say you have pipelines for similar databases with the same structures; you have to manage them by-hand, individually, or you have to make your own tools.

Alternativas consideradas: Talend Data Fabric y AWS Glue

Razones para cambiar a Hevo: Hevo was vastly simpler, low-cost, had great support, and gave us a single place to manage all our data ingestion regardless of source.

Artemiy K.
Senior Data Engineer en Países Bajos
Usuario de Linkedin verificado
Transporte/transporte en camión/ferrocarril, 201-500 empleados
Ha utilizado el software durante: 1-5 meses
Fuente de la reseña

Automating Data Pipelines has never been easier

5,0 hace 2 años

Comentarios: Absolutely great.
In terms of service itself, reliability, customer support.

Puntos a favor:

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)

Puntos en contra:

I might only add Hevo is constantly evolving. I participate in proposing new useful features from my PoV.

Alternativas consideradas: Integrator, Fivetran y Stitch Labs

Razones para elegir Hevo: Alooma deprecated support of Redshift since it was acquired by Google.

Software anterior: Alooma

Razones para cambiar a Hevo: Hevo has beat up all competitors in all the assessed parameters. - Advanced features support (Oplog for MongoDB, WAL for Postgres) - Applying transformations on the fly - Great support team - Nice web interface, API, documentation

Usuario verificado
Data Engineer en India
Usuario de Linkedin verificado
Salud, bienestar y deporte, 501-1.000 empleados
Ha utilizado el software durante: Más de dos años
Fuente de la reseña

Making Data Simple

5,0 hace 2 años

Puntos a favor:

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 quite reachable and always ready to help us solving critical bugs and errors.

Puntos en contra:

Alerting could be much more precise and intelligent.

Nilesh S.
Data Engineer en India
Salud, bienestar y deporte, 1.001-5.000 empleados
Ha utilizado el software durante: Más de dos años
Fuente de la reseña

Literally just few clicks and data will start flowing.

5,0 hace 2 años

Comentarios: Its an awesome product. Really very good one to get started with very little friction.

Puntos a favor:

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 transformations for complex data sources like Mongo where you want to flatten the nested data.

Puntos en contra:

Alarm feature can be little more intuitive.

Matthew K.
Matthew K.
Back End Team Lead en Australia
Usuario de Linkedin verificado
Aprendizaje en línea, 51-200 empleados
Ha utilizado el software durante: 6-12 meses
Fuente de la reseña

Great Product

4,0 hace 4 meses

Comentarios: Very happy with the product so far, dramatically reduced the data ingestion times.

Puntos a favor:

Ease of setup Cost Quick ingestion times Ability to connect to multiple sources Transformations

Puntos en contra:

High CPU usage on our Amazon Aurora PostgreSQL server.

Alternativas consideradas: Fivetran

Razones para elegir Hevo: To reduce data load times into Snowflake

Software anterior: Stitch

Razones para cambiar a Hevo: Better data ingestion times and lower costs.

Alex R.
Data Analyst en EE. UU.
Software informático, 11-50 empleados
Ha utilizado el software durante: 1-5 meses
Fuente de la reseña

Hevo helped us solve our ETL needs.

5,0 el año pasado

Puntos a favor:

Hevo offers a fair pricing model with competitive features, along with a seamless data integration experience that complies with many data privacy groups. The ability to transform data using python code, auto map object data, and do this all in a user-friendly interface is wonderful. Hevo also ensures pure privacy with data which is vital when using cloud storage integrations.

Puntos en contra:

There was not much to dislike about the software.

Alternativas consideradas: Fivetran y Stitch Labs

Razones para cambiar a Hevo: When looking for a data pipeline tool, we wanted to be able to incorporate all of the tools we currently utilized while staying compliant with GDPR. We did not want to have multiple pipelines for different resources, instead we knew we needed a single ‘one stop shop’ for our data pipeline. We looked at a few of Hevo’s main competitors within the industry before finalizing our choice with them.

Usuario verificado
Software Engineer en Brasil
Usuario de Linkedin verificado
Servicios financieros, 11-50 empleados
Ha utilizado el software durante: 1-5 meses
Fuente de la reseña

Dead simple database replication

4,0 el año pasado

Comentarios: Overall the experience has been quite smooth so far. The support provided was great and the initial setup was simple.

Puntos a favor:

Hevo's interface is simple to use, while powerful at the same time. From our tests so far the pipelines work reliably and performantly, and the transformation tools (offered both in a visual manner or through custom Python code for more advanced workflows) are quite useful. The customer experience and support provided is great.

Puntos en contra:

I seem to be unable to apply new transformation rules retroactively. That would be an important feature to us as sometimes new fields need to be masked or hidden but were already ingested into the destination.

Alternativas consideradas: CData Sync y Stitch Labs

Razones para cambiar a Hevo: The experience seemed to be simpler while keeping the tool powerful for our needs. The simple pricing model was also a decision factor.

Naisheel V.
Naisheel V.
Co-founder en India
Usuario de Linkedin verificado
Bienes de consumo, 51-200 empleados
Ha utilizado el software durante: Prueba gratis
Fuente de la reseña

Hevo is an impressive feature-packed product with great UX

5,0 hace 2 años

Puntos a favor:

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, data can be manipulated by custom scripts 5) Full visibility and control over the entire pipeline 6) Schema mapper is great, auto-mapping works for most of the use cases. Manual mapping is also possible. It shows and asks user to confirm what query it is going to execute at the destination, which is good 7) Workbench available to run queries at the destination, custom data models available to create "views" from destination tables

Puntos en contra:

1) Didn't quite like the limit on number of sources in plans 2) Schema mapper doesn't have an option to change column types at the destination

Nishanth K.
Data Engineer en India
Hospital y atención sanitaria, 51-200 empleados
Ha utilizado el software durante: Más de un año
Fuente de la reseña

An Amazing ETL tool

5,0 hace 2 años

Comentarios: 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.

Puntos a favor:

The best thing I like about Hevo is the ease of use and the integrations that are avaialble for multiple sources, which makes the ETL seamless.

Puntos en contra:

In Schema Mapper/Overview tab in each pipeline, an option to skip muliple collections at a time using a check box might be a good feature which will be very helpful for us, otherwise its now taking lot of manaul effort to skip them if needed in a pipeline.

Respuesta de Hevo Data

hace 2 años

Hi Nishanth, Thank you for your feedback! About your feature suggestion, our product expert will get back to you to discuss the suggested feature in detail.

Josh K.
Director, Data en EE. UU.
Marketing y publicidad, 51-200 empleados
Ha utilizado el software durante: 6-12 meses
Fuente de la reseña

Great Product

5,0 el año pasado

Puntos a favor:

Previously, we were using Fivetran. With Hevo, we get better features for a fraction of the price.

Puntos en contra:

Honestly, I don't have any complaints. Their support is awesome and any issues that I have had, have been resolved within hours.

Usuario verificado
Staff Software Engineer en EE. UU.
Usuario de Linkedin verificado
Tecnología y servicios de la información, 51-200 empleados
Ha utilizado el software durante: 1-5 meses
Fuente de la reseña

Reliable, easy-to-use and good price/performance ratio

5,0 hace 2 años

Comentarios: 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 streaming replication from RDS MySQL.

Puntos a favor:

Hevo's interface is well designed, so that it is straight-forward to set up many pipelines. Unlike other tools, they do not force us into their own standards, for example for naming tables. The service is reliable and performant, including at scale. The team also consists of nice people who have been very friendly and helpful.

Puntos en contra:

We have no complaints. Hevo's MySQL binlog replication works well for us.

Kushan S.
Principal Architect en India
Comercio minorista, 201-500 empleados
Ha utilizado el software durante: Más de un año
Fuente de la reseña

Makes ETL really easy

4,0 hace 2 años

Comentarios: 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.

Puntos a favor:

We have 10+ pipelines streaming a few million rows from multiple databases to a warehouse. It's very easy to use and configure. It supports all popular database types as sources and we can put custom transformation logic in the pipelines. Hevo's support engineering team has also been very pro-active and helpful throughout our engagement to date.

Puntos en contra:

I think the documentation could be structured in a format of Source (e.g. MongoDB) to Destination (e.g. BigQuery) with the exact steps required to configure this pipeline. Most users would come to Hevo with this type of requirements and it would aid with discoverability.

Swati S.
Swati S.
Engineering Manager en India
Usuario de Linkedin verificado
Salud, bienestar y deporte, 201-500 empleados
Ha utilizado el software durante: Más de dos años
Fuente de la reseña

Seamless ETL

5,0 hace 2 años

Puntos a favor:

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.

Puntos en contra:

When we had started using Hevo 2 years ago, there were only a few sources available. However, I see more and more new sources getting added every month.

Yoshlin P.
Data Owner en Sudáfrica
Comercio minorista, 2-10 empleados
Ha utilizado el software durante: 1-5 meses
Fuente de la reseña

Hevo - Budget Friendly Option

4,0 hace 8 meses

Comentarios: Able to get the data I want, in the format I want, to do the business analysis required

Puntos a favor:

Extremely Budget friendly, many connector s and destinations, easy to use and good support

Puntos en contra:

Sometimes, the transformations from the raw connectors can be a bit confusing and it requires heavy understanding of the source. But that's expected.

Alternativas consideradas: Fivetran

Razones para cambiar a Hevo: Honestly, the more budget friendly option

Usuario verificado
Product Lead en India
Usuario de Linkedin verificado
Internet, 201-500 empleados
Ha utilizado el software durante: Más de un año
Fuente de la reseña

Great product to use

4,0 hace 2 años

Comentarios: Great customer care team.

Puntos a favor:

Smooth OpLog/Change Stream based syncing is one of the strongest reasons I stick to this platform.

Puntos en contra:

Transformations UI can be a bit better and more user friendly