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Excellent Automated Data Pipeline Tool
What do you like best about the product?
Hevo Data makes it easy to connect to many data sources and build a BI-ready data warehouse.
The platform is very stable and the support is quick and helpful.
The platform is very stable and the support is quick and helpful.
What do you dislike about the product?
When using the Models feature in Google BigQuery, the Hevo-created tables have a default expiration date, which, when reached, clears out the data from the table. This cleared out a client's BI solution one time and, while it was not a difficult fix (restoring the tables within BigQuery) it was not ideal.
What problems is the product solving and how is that benefiting you?
I build business intelligence solutions and I use Hevo for the most complicated data extraction and warehousing tasks. Because of the breadth of sources and excellent pipeline and modeling features it is really easy to create a complete data warehouse, especially when mixing old and new technology within the same data pipeline (e.g. fusing realtime data from an API with periodic spreadsheet reporting).
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Great service, works as advertised.
What do you like best about the product?
Hevo functions well and is easily implemented. Service is top-tier, with any type of question. I haven't run into a connection I need but is not offered. Other services I have tried do not offer the full range of features that Hevo does.
What do you dislike about the product?
Sometimes error messages or failures can be unexplainable in and of its own. It can be ambighous as to where a fix needs to be made, requiring us to contact support.
What problems is the product solving and how is that benefiting you?
We connect different data sources to create a single data warehouse, with generally some sql queries to transform the data in between. We use it both for historical loads and fresh data.
ETL for Data warehouse just a few clicks away
What do you like best about the product?
Hevo has helped us to implement all our data pipeline to our data warehouse all in a frindly manner with mostly just clicks. Also, there are a lot of native integrations and rest api set up for those that there arent.
the support team is very prestative our account manager Aafreen has helped us with many doubts
the support team is very prestative our account manager Aafreen has helped us with many doubts
What do you dislike about the product?
The data spikes that heppen when you are setting and adjusting generates extra usage costs, that are not cheap sometimes. Also the custom plans are not very customizable.Also, as the price is in US dollars for us in brazil it become very costly
What problems is the product solving and how is that benefiting you?
ETL for our data warehouse: hevo extract many data sources and load to our amazon redshift so we can use with our data vizualion software. It has also quick integrations between aws products. for example redshift to S3
Hevo is a great deal at a great price!
What do you like best about the product?
There are a couple of things I like about Hevo but the things that stand out are their customer support and ease-of-use. I used other data ingestion tools in the past and none were as easy to work with as Hevo. That doens't mean it doesn't allow powerful transformations though - it does. When I get stuck and reach out to support, their response is quick (under 5 minutes) and if the issue has to be escalated, it's done so quickly. The response from the escaltion team is equally as impressive.
What do you dislike about the product?
Once you creat a connector, it can be tricky figuring out how to edit it. It just takes practice though and once you've done it a few times, it's easier.
What problems is the product solving and how is that benefiting you?
We have several projects ongoing so we use a variety of connectors - some built in and some using REST API's. I often use Postman to work with the API initially and once I have it working there, translating it into a Hevo connector is often straighforward. I've had to rely on their support team a few times now and they always get me up-and-running within days (sometimes the same day). That keeps my projects running on schedule which is a great thing!
Easy to go for all your ETL
What do you like best about the product?
Easy to setup, with the help of gui we can configure the pipeline from the different sources to the different destinations
learning curve is very low.
Any non-tech background person can also setup the pipeline very easily
It is low code or no code setup which I like the most
learning curve is very low.
Any non-tech background person can also setup the pipeline very easily
It is low code or no code setup which I like the most
What do you dislike about the product?
Some plugin for destination like source and destination can be same
What problems is the product solving and how is that benefiting you?
We were trying to move our data from postgres to bigquery to run our analytics, we want our data to be reflected in the bigquery in real time hence we are looking for a tool which can replicate our existing data into bigquery along with change data capture,
This use case is exactly we are solving from hevo
This use case is exactly we are solving from hevo
Easy to use UI
What do you like best about the product?
What I like best about Hevo Data:
Hevo's user interface is clean, intuitive, and straightforward. You don't need to be a developer or have the technical expertise to use Hevo ETL effectively. Hevo can connect to over 100 data sources, making it easy to extract data from different systems and databases. Hevo can handle real-time data integration, which is essential for businesses that need to react quickly to changes in their data.
Hevo's user interface is clean, intuitive, and straightforward. You don't need to be a developer or have the technical expertise to use Hevo ETL effectively. Hevo can connect to over 100 data sources, making it easy to extract data from different systems and databases. Hevo can handle real-time data integration, which is essential for businesses that need to react quickly to changes in their data.
What do you dislike about the product?
Hevo is a cloud-based platform, which means that you are limited in terms of customization options compared to on-premises solutions.
Would love if I could see more technical parts of the process or customize it more, for example what type of data was ingested and so on
Would love if I could see more technical parts of the process or customize it more, for example what type of data was ingested and so on
What problems is the product solving and how is that benefiting you?
Mainly started with S3 data extraction as this is made very easy on Hevo. Easy to set up as it has automated mapping, compared to Snowflakes original snowpipe tool.
Great service for all data needs
What do you like best about the product?
Super easy to use, has tons of pipeline connection options, very seamless, and super fast customer service team!
What do you dislike about the product?
Some glitches every now and then but nothing that can't be solved by a quick chat with CS!
What problems is the product solving and how is that benefiting you?
Getting all my data into one single warehouse (snowflake), and the ability to write queries to manipulate data and input it cleaner into my warehouse for easy analysis later on.
Great experience with a few hurdles
What do you like best about the product?
Data transformation from source to target can be done quickly, and the platform is reliable.
What do you dislike about the product?
Sometimes there might be a delay in data ingestion or records mismatch due to some discrepancy in configuration.
What problems is the product solving and how is that benefiting you?
Helps in extracting and transforming data. Acts as a connector between our source and destination
Hevo | User Friendly & Effective ETL Product
What do you like best about the product?
Hevo's console is very easy to use, their customer support is also very helpful and they have proper technical knowledge of the product. Its UI is much better than the competitors, and the docs are also well-written. They also provide very easy transformation console and features like Models are also very useful for pre-computing the data
What do you dislike about the product?
There are some of the options (like pipeline plugin, skipping delete events in logical replication) which are neither on the front end nor mentioned in the docs. We had to ask the support for these things, we came to know about a different pipeline plugin when we started facing some issues. So these things should be on front end or should be mentioned properly in a doc.
They should also improve their API with better messages and status codes. We get bad request/not found status codes when the object is already included or does not exist. They should also include a proper status message as well.
They should also improve their API with better messages and status codes. We get bad request/not found status codes when the object is already included or does not exist. They should also include a proper status message as well.
What problems is the product solving and how is that benefiting you?
It is providing us with easy transformation and loading data from our source database to the destination database. This has increased our productivity as we did not had to invest time to migrate and transform our data, creating and setting up a pipeline is very easy and fast.
Efficiency and speed when performing tedious migrations
What do you like best about the product?
What impressed me most about Hevo were the easy mappings through the visual interface, the customization of ways to extract data from the source of the pipeline and transform data in the middle of the pipeline (along with a test of how it would look after the transformations).
In addition to cordial support in real time. :)
In addition to cordial support in real time. :)
What do you dislike about the product?
The limitations I had with Hevo were more related to the use outside the scope of the tool than the application itself.
They could implement a way for the pipeline destination to set the auto-incrementing id without having to make the value explicit through the mapping.
They could implement a way for the pipeline destination to set the auto-incrementing id without having to make the value explicit through the mapping.
What problems is the product solving and how is that benefiting you?
Quickly resolved migration issues with real-time updates. That otherwise would require a long process of development, testing and replication to other environments.
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