Hevo – Bewertungsseite 2

Vorteile

Ease of use, clear structure, great customer support. There are many native connectors available, which is very useful.

Nachteile

There is a big amount of connectors available, but I feel that sometimes the quality of connectors could be better. However, when we submit feedback, the support team is very responsive and tries to implement a new feature or provide a workaround for us.

Vorteile

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.

Nachteile

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.

In Betracht gezogene Alternativen

Talend Data Fabric

Gründe für den Wechsel zu 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.

Vorteile

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.

Nachteile

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.

Vorteile

I really like how intuitive it is to build a new pipeline and get data flowing from an API into a destination database - in our case Azure SQL.

Nachteile

I don't like that REST API calls that yield the same data are not considered "historical" from a billable event standpoint.

In Betracht gezogene Alternativen

Retool, Matillion, Domo und Fivetran

Warum Hevo gewählt wurde

We don't want to create code-based ETLs and data pipelines anymore. The maintenance overhead is way too high.

Gründe für den Wechsel zu Hevo

Intuitive interface, pricing model, ability to connect to custom APIs

Vorteile

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.

Nachteile

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.

Vorteile

Creating new data pipelines in Hevo is very easy and super fast. We need to just give connection details and boom!!! pipeline is ready to use within minutes.

Nachteile

Hevo should give detailed information about each run like when did exactly it start and end to calculate the overall time taken.

Vorteile

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

Nachteile

High CPU usage on our Amazon Aurora PostgreSQL server.

In Betracht gezogene Alternativen

Fivetran

Warum Hevo gewählt wurde

To reduce data load times into Snowflake

Gründe für den Wechsel zu Hevo

Better data ingestion times and lower costs.

Vorteile

Ease of use, simple integration, simple transformation

Nachteile

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

Vorteile

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.

Nachteile

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.

Vorteile

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.

Nachteile

There was not much to dislike about the software.

In Betracht gezogene Alternativen

Fivetran

Gründe für den Wechsel zu 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.

Vorteile

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.

Nachteile

Alerting could be much more precise and intelligent.

Vorteile

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

Nachteile

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

Vorteile

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.

Nachteile

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.

Vorteile

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

Nachteile

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.

In Betracht gezogene Alternativen

Fivetran

Gründe für den Wechsel zu Hevo

Simple ease of use. It does what it says it does.

Vorteile

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.

Nachteile

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.

Vorteile

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)

Nachteile

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

In Betracht gezogene Alternativen

Fivetran

Warum Hevo gewählt wurde

Alooma deprecated support of Redshift since it was acquired by Google.

Gründe für den Wechsel zu 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

Vorteile

It is really seamless and easy to use. documentation is there to troubleshot at each step

Nachteile

Pipeline orchestrationHosting of S3 buckets

Vorteile

The data source - destination pipeline feature is very easy to use and takes minutes to set up using the available side by side guide

Nachteile

UI can be a bit improved for the transformational aspect of data

Vorteile

As an ETL, you couldn't ask an easier tool to set up and test than Hevo. This is great for quickly checking if it'll work for your goals. All processes are transparent and if something seems amiss you can get a handle of a very helpful customer support quickly.

Nachteile

There are some advance features for data handling that seem to be still in development. Overall, it might not be the tool for you if you have a very strict or complicated workflow.

Vorteile

Hevo allowed me to set up an ETL without having a coding (python) skillset. I was able to connect spreadsheets to my DB preventing me inputting by hand or contracting out the ETL development.

Customer service was awesome!

Nachteile

I imagine I might find some cons as I continue to use the software, but I don't really have any yet. May more options for data types in the destinations???

Vorteile

easy to use and integrate technologies, monitoring tool

Nachteile

I couldn't found an option to make reverse engineering

Vorteile

Simple interface. Fast customer service.

Nachteile

Auto mapping sometime acts up, but customer service is very helpful and fixes it.

Vorteile

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

Nachteile

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

Vorteile

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

Nachteile

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

In Betracht gezogene Alternativen

Fivetran

Gründe für den Wechsel zu Hevo

Honestly, the more budget friendly option

Vorteile

Hevo helps our team set up our pipeline in the most simplistic way possible

Nachteile

The price is a bit on the expensive side, but the features they offered are good

Vorteile

We decided to shop around for a new solution because our current provider decided to raise their prices significantly. Hevodata checked all the boxes.

Nachteile

When we first started out, our BigQuery costs went up, but we were able to mitigate that by changing the frequency.

Vorteile

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.

Nachteile

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

Vorteile

HIPAA compliance, data integrity, documentation, and support

Nachteile

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.

In Betracht gezogene Alternativen

Fivetran

Warum Hevo gewählt wurde

data integrity issues

Gründe für den Wechsel zu Hevo

Price

Vorteile

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.

Nachteile

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.

Vorteile

Allows creation of realtime data pipelines from multiple data sources with an option of pre and post data transformations on the data.

Nachteile

The workbench - It is not intelligent moreover any switch from the workbench results in a code loss. So maintaining code or debugging code can be challenging.

Vorteile

Easy, robust, simple. Solved my source data problems in one step!

Nachteile

UNtil they restructured their model, getting started was expensive but the new pricing model is excellent.

Vorteile

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

Nachteile

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

Vorteile

Flexibility to customise integrations and extractions.

Nachteile

Not much. Maybe build out more connectors (should happen soon though).

Vorteile

The Hevo is the one frame platform which provides complete cloud ETL features. The data integration from source to destination is very quick. The dashboard provides all the information regarding the history of migration.

Nachteile

The data loading speed might have been much more quicker.

Vorteile

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

Nachteile

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

Vorteile

Hevodata has been one of the easiest data pipelines integration that I have used. It’s very easy to get started and setup your pipelines.

Nachteile

The web UI is still a bit buggy and the logs need to be more verbose. It is very difficult to figure out why, if any, issues are there with your data pipeline.

Vorteile

No code, easy to use and really great customer support

Nachteile

Some integrations still in developement, but they keep working on them

Vorteile

No coding is the best and all file formats are available to integrate

Nachteile

There is no custom email notification. I receive ETL summary everyday for all the pipelines.

Vorteile

The UI/UX experience is very intuitive and easy to use

Nachteile

- Default for ingesting data to destination is 5 minutes
- Missing a few data sources, but it looks like they are counting to build

Vorteile

Ease of use, UI is easy to grasp and understand.

Nachteile

Nothing major comes to mind. Faced am issue recently but the customer support helped with the resolution in a satisfactory manner

Vorteile

Constantly running (real time) and the ability to customize mapping

Nachteile

More videos to explain detail how to use the tool

Vorteile

Easy to set up and create multiple pipelines across many different sources

Nachteile

Lot of scope in automation to fix errors in pipeline or unloaded events

Vorteile

Ease of use to connect to 3rd party sources. Documentation explains very well how to connect to 3rd party sources and provides useful ERD diagrams.

Nachteile

Would like a more functional scheduler and would like a pipeline for JIRA Service Desk.

Vorteile

Once you're setup, it's literally set and forget.
Runs in the background

Nachteile

A bit tricky to get started, but that might be more the nature of data and disparate platforms

Vorteile

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

Nachteile

The tool can get better in documentation and video tutorials.

Vorteile

I really liked that its the only product made for non-technical users since its the only one I could install into my systems

Nachteile

So far I think it needs more integrations

Vorteile

Automated history load and scheduling of pipelines and automapping.

Nachteile

pretty cumbersome to select and deselect some of the options in adding tables in the pipeline.

Vorteile

Ease of building new pipelines and replay queue

Nachteile

Few features are deprecated in updates (eg. JSON parsing strategies). While this is understandable due to performance optimisations, whenever this happens, dev time increases.

Vorteile

Ease of use + workflow. Makes setting up complex extraction flows a breez.

Nachteile

UI is sometimes not as intuitive vs. other tools, but this will probably improve.

Vorteile

easy interface for non-data engineers to build and maintain data pipelines.

Nachteile

the cost has increased steeply in the last 1 year to 3.5x.