Hevo Data Pipelines
Hevo DataReviews from AWS customer
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A great data pipeline as a service and hassle-free support team
What do you like best about the product?
We at Siply have used the Data Pipeline as a service. It was an end-to-end service for flowing our data from our Primary Database to the Secondary Database. The best part was the user-friendly UI and the chat support system that HEVO incorporated.
What do you dislike about the product?
24/7 Chat Support is something I would like to see incorporated in HEVO. The 24/7 chat support system is always helpful because many businesses are consumer-facing and business runs in odd hours too. So, having a 24/7 chat support system will always be good.
What problems is the product solving and how is that benefiting you?
Data Pipeline as a Service reduces the engineering overhead that a startup (especially those in the early stage) will always welcome. HEVO Data is friendly for non-techies and doesn't require much
high-code capabilities to operate this.
high-code capabilities to operate this.
Data Ingestion with Hevo is too Easy
What do you like best about the product?
1. It ingests from many different sources like postgres, mongodb, google sheet, google analytics, pendo, hubspot etc.
2. It's very easy to use as we only need to provide the endpoints of source and destination and rest of the thing will be taken care by hevo team.
3. Also, the support team of Hevo is available 24*7 for help and we get a response from them within 5 minutes.
4. And they have cheaper rates as compared to other services like DMS, which will help companies who are switching to data engineering.
5. New version contain the draft option which is really helpful for us.
2. It's very easy to use as we only need to provide the endpoints of source and destination and rest of the thing will be taken care by hevo team.
3. Also, the support team of Hevo is available 24*7 for help and we get a response from them within 5 minutes.
4. And they have cheaper rates as compared to other services like DMS, which will help companies who are switching to data engineering.
5. New version contain the draft option which is really helpful for us.
What do you dislike about the product?
1. If you are ingesting your data from a database, you need to create a single pipeline to ingest tables the data of all the schemas, which is the least favourable; otherwise, you need to create a different pipeline for each schema, increasing the number of connections to your database.
2. Output plugin should be by default wal2json so that data can be ingested only for the active tables.
2. Output plugin should be by default wal2json so that data can be ingested only for the active tables.
What problems is the product solving and how is that benefiting you?
1. They are focusing on drag-and-drop transformation, which will help people who are not good with coding as it will become easier for them to drag the transformation.
2. They are also working on to ingest the data into different schema from a single pipeline.
2. They are also working on to ingest the data into different schema from a single pipeline.
Hevo Review
What do you like best about the product?
Ease of use and time to deploy. The tool just works.
What do you dislike about the product?
We have found that the error logs are not as easy to read.
What problems is the product solving and how is that benefiting you?
We needed a tool that simplified the Dynamo to Redshift data stream. Hevo is amazing and we now use it for much more.
Hevo Data - ETL tool with best support
What do you like best about the product?
The most helpful part is the support for tool which replies within minutes and cooperative
What do you dislike about the product?
It is in developing phase , so lacks some of the required feature like if someone use VPC peering then can't use SSH Tunnel
What problems is the product solving and how is that benefiting you?
We have ETL use case from PSQL to REDSHIFT for which webuse HEVO
The one stop tool for your all data transformations
What do you like best about the product?
Comprehensive and ease of use UI. Support for most of the databases.
What do you dislike about the product?
No proper error messages and UI bugs. Needs more guidance from support team for building pipelines
What problems is the product solving and how is that benefiting you?
Transforming data from NoSQL database to Datawarehouse
Data Integrations made Faster
What do you like best about the product?
How fast we can set up data pipelines, ease of access.
What do you dislike about the product?
More access controls would be helpful and notifications for individual pipelines would be helpful.
What problems is the product solving and how is that benefiting you?
Decreasing the development time and efforts of setting the data pipelines which involves multiple data sources and destinations.
Not a great experience
What do you like best about the product?
Overall, UI, connection and pipeline steps are straightforward and intuitive. We tried mixpanel to data bricks pipelines, creating connection, setting up the pipelines was very easy.
What do you dislike about the product?
For mixpanel to databricks pipeline, we faced a lot of issues in terms of data quality, and billable events. The issues are yet not resolved and I think we kind of did a paid testing for them.
What problems is the product solving and how is that benefiting you?
GUI based drag and drop pipelining for various sources and destinations with the possibility of transformations as well
Best experience among several hosted ETL vendors
What do you like best about the product?
Best entry price point for cost-conscious users. Great UI. Nearly alone in allowing incremental Postgres extractions based on a timestamp column rather than WAL logs. Everything just worked, as advertised.
What do you dislike about the product?
Would like even lower price points for small-data users. We only use about 1/8th of our allowed rows per month, and while HEVO still has the lowest prices of the major vendors for our use case, it could probably be a lot lower.
What problems is the product solving and how is that benefiting you?
We used to use the free Matillion Data Loader product. It was limited in some important ways, but free is a pretty compelling price and it allowed us to paper over the shortcomings with more frequent loads. When the Matillion product switched to paid plans only, we went shopping for the best current product/deal for our use case: syncing several database tables from our operational apps to our Snowflake account. HEVO now fills that role admirably with zero maintenance needs.
Hevo Data is a free application, with good professionals to answer your questions
What do you like best about the product?
Hevo Data presents a very interesting application to work with DW and during my university work in the area of Data Analysis I used this platform and was very well received by the technical team.
What do you dislike about the product?
The platform works well, the ETL process. It would be nice if Oracle DB could run on your platform too.
It would be nice if it could expand to run OLAP, but it has OLAP links to other platforms.
It would be nice if it could expand to run OLAP, but it has OLAP links to other platforms.
What problems is the product solving and how is that benefiting you?
I had difficulties in carrying out the ETL process and they guided me about what was causing the problem.
Hevo has been a useful tool to deploy pipelines between multiple sources/destinations
What do you like best about the product?
The most helpful about Hevo is that you can build pipelines for a wide range variety of sources and sinks with a few clicks, and also it provides a great UI for monitoring those pipelines
What do you dislike about the product?
One of the downsides that I have found using Hevo is that when you surpass your quota and need more records, it becomes expensive, and also, you have a maximum default range
What problems is the product solving and how is that benefiting you?
Hevo is the primary tool that we use to build pipelines to ingest data in our data warehouse, and this is key for our company because we have heavily supported processes with data
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