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This is very useful tools for automation.
What do you like best about the product?
It helps me for automation importing data to local Sql server.
What do you dislike about the product?
well in my case it has no any disadvantage.
What problems is the product solving and how is that benefiting you?
It help me to auto import data to my local database on specific time.
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Hevo has a simple interface to get you ETL jobs up quickly
What do you like best about the product?
I like how quickly you can create pipelines and connect to data sources. The default mapping works well for basic needs, and the workflows for more advanced usage seem to work well for us. They continue to add new sources to connect with for ingest.
What do you dislike about the product?
I want to be able to reverse ETL to any source instead of just their preconfigured heads. I know they are growing, but the choices are somewhat limited now. On first glance, you can only get so far with the API configuration options before you have to use the UI.
There are limits to the number of objects a single pipeline can handle. This creates some extra work on our end to segment some data sources.
There are limits to the number of objects a single pipeline can handle. This creates some extra work on our end to segment some data sources.
What problems is the product solving and how is that benefiting you?
We need a simple interface to manage several data sources in our warehouse. We have pretty basic transformations that Hevo is well suited for. Hevo is saving a ton of time trying to work on an in-house ETL solution.
Satisfied with the tool
What do you like best about the product?
I like that Hevo is constantly improving and implementing new sources and connectors. I also like that it is easy to learn how to work with and use the tool. It is also well organized, provides a good overview of the status of various pipelines and notifies us whenever anything goes wrong. I also think Hevo support does a great job and is reliable and fast.
What do you dislike about the product?
Some items are still missing in various sources, but as mentioned, Hevo is constantly improving, and I hope the Hevo sources will be further enhanced in the future.
What problems is the product solving and how is that benefiting you?
Hevo is helping us fetch data from various sources effortlessly and without coding. It is a reliable tool that allows us to get data in the correct format for further analysis and brings a lot of value.
Hevo removes most of the pain points involved in data migration.
What do you like best about the product?
Configuring source and destination is very quick and easy, and data migration starts as soon as we configure things. It supports most of popular databases and warehouses.
What do you dislike about the product?
Hevo doesn't show the time taken for each run within the pipeline. Hevo only shows the time range for ingestion and loading but it can be super helpful if we get the details like ingestion/load start and end time for each individual run.
What problems is the product solving and how is that benefiting you?
Configuring source and destination and connecting them seamlessly for any data migration seems a complex problem which Hevo is solving brilliantly. Hevo is saving lot of time which goes in configuring things and monitoring data pipelines.
Versatile
What do you like best about the product?
Lots of connectors, great customer support
What do you dislike about the product?
Python Code Transformation UI is not very intuitive, not customizeable (as of Nov/2022, the testing interface doesn't have any sort of terminal to print to)
What problems is the product solving and how is that benefiting you?
Solves schema mutations, backfilling, source/destination syncing, saves tons of engineering time
Hevo is powerful, yet open to help with anything overwhelming.
What do you like best about the product?
A lot of functionality. ETL / Reverse ETL / Data modeling, and many more features. They provide a nice modern approach to things that for many haven't changed in decades.
What do you dislike about the product?
Resources could be more descriptive in some cases. There is a lot to learn here. Compared to some competitors, this part of Hevo is on the weaker end. Mastering hevo has a quick start but a lot to learn later.
What problems is the product solving and how is that benefiting you?
it's covering our ETL/ELT needs and is good for transformations. It helps us to have a more stable and functional architecture with good resource and people management within.
HevoData does the job, but lots of improvements need to be made.
What do you like best about the product?
It is a relatively straightforward setup of SQL databases. The auto-mapping feature makes setting up a SQL database sync relatively quick.
They have a lot of different connectors.
Their price is more competitive than other products.
They have a lot of different connectors.
Their price is more competitive than other products.
What do you dislike about the product?
We have bought an annual contract for 300 million rows per month, the problem is, if you don't use your 300 million rows per month, it does not carry over to the next month, and databases never sync the exact same amount of rows every month, so you either paying for rows you never sync, or run short and then have to top up by buying more rows, this billing strategy needs to change ASAP.
The metadata date rows they add to tables are in Unix timestamp format (__HEVO__INGESTED_AT, __HEVO__LOADED_AT), which is relatively easy to work out, they should just add a proper date time data type to these metadata rows.
For all of our SQL databases, we had 1 table with about 34 million rows, but had a composite primary key of 2 columns, they could not sync these tables faster then 1 million rows per day, so it basically took over a month to sync these tables into our Snowflake data warehouse, and even after opening a support ticket, they could not increase the speed of these indivudual tabels sync to get the historical sync completed quicker.
The metadata date rows they add to tables are in Unix timestamp format (__HEVO__INGESTED_AT, __HEVO__LOADED_AT), which is relatively easy to work out, they should just add a proper date time data type to these metadata rows.
For all of our SQL databases, we had 1 table with about 34 million rows, but had a composite primary key of 2 columns, they could not sync these tables faster then 1 million rows per day, so it basically took over a month to sync these tables into our Snowflake data warehouse, and even after opening a support ticket, they could not increase the speed of these indivudual tabels sync to get the historical sync completed quicker.
What problems is the product solving and how is that benefiting you?
We put all our production database data into snowflake for reporting and data analytics, and data science strategies to be done on the data.
It benefits us to have all our different data sources in 1 data warehouse for a detailed overall look at the entire company's data.
It benefits us to have all our different data sources in 1 data warehouse for a detailed overall look at the entire company's data.
Very easy to build data pipelines
What do you like best about the product?
To connect to data sources for both the extraction as for pushing data to other data sources
What do you dislike about the product?
Users can only be part of one organization using Hevo
What problems is the product solving and how is that benefiting you?
Data collection and transportation to a data lake
Reliable, fast and easy to use
What do you like best about the product?
Hevo gives our data team peace of mind. Building a data pipeline is done in minutes and you can rely on the ingestion and loading by Hevo. It is also efficient in terms of computing required on the Snowflake side.
What do you dislike about the product?
Sometimes the auto-mapper fails or the new data pipeline fails to start. However, the support team is great and they solved quickly.
What problems is the product solving and how is that benefiting you?
Hevo helps us move data without requiring technical skills.
Easy to use and straightforward ETL pipeline as a service
What do you like best about the product?
Transformations! It allows a data engineer to clean data within the ETL itself rather than doing it after on a post-processing level. Has been a lifesaver for a lot of our issues.
What do you dislike about the product?
The chat support doesn't always solve your queries, you need to talk to the specialist team in order to get technical help. A technical help chat would be much appreciated.
What problems is the product solving and how is that benefiting you?
Setting up all our data in one place with the help of multiple pipelines pointing to a destination and have our data analyst team work with data on a single destination
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