Hevo Data is a no-code, bi-directional data pipeline platform specially built for modern ETL, ELT, and Reverse ETL Needs. It helps data teams streamline and automate org-wide data flows that result in a saving of ~10 hours of engineering time/week and 10x faster reporting, analytics, and decision making.
The platform supports 100+ ready-to-use integrations across Databases, SaaS Applications, Cloud Storage, SDKs, and Streaming Services. Over 500 data-driven companies spread across 35+ countries trust Hevo for their data integration needs.
Try Hevo today and get your fully managed data pipelines up and running in just a few minutes.
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Based on our record, Sentry.io should be more popular than Hevo Data. It has been mentiond 53 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
In a previous article, we used open-source Airbyte to create an ELT pipeline between SingleStoreDB and Apache Pulsar. We have also seen in another article several methods to ingest MongoDB JSON data into SingleStoreDB. In this article, we’ll evaluate a commercial ELT tool called Hevo Data to create a pipeline between MongoDB Atlas and SingleStoreDB Cloud. Switching to SingleStoreDB has many benefits, as described... - Source: dev.to / over 1 year ago
One of my customers just purchased Precisely to extract from their iSeries machines into Snowflake. Hevo can also do it. Source: over 1 year ago
I've been looking at Hevo data as well, and they certainly make the setup/maintenance a lot easier, but they have a latency of 5-10 minutes. What's the minimum lowest latency that can be achieved with aws for syncing dynamodb to redshift? Source: over 1 year ago
Don't decide on something without looking at Hevo - I've used this in two organisations now and can't speak more highly of it. Cheap, super simple to use, and super configurable if you want to get into the nitty gritty. Source: about 2 years ago
In that case you should try Hevo Data, you can start with their freemium model and see if it works well for you. Source: about 2 years ago
Sentry stands as a robust open-source tool for keeping an eye on errors in real-time and digging into issues across a range of programming languages. It's a robust platform that gathers errors and adds essential context to the stack traces, enabling developers to effectively prioritize and solve critical business issues. - Source: dev.to / 4 months ago
And on the server side, closer to services like DataDog, I think it's fair to say that Sentry has had a significant impact. Source: 5 months ago
We are going to have a hands-on example of implementing an error track inside a NestJS project, we are going to use Sentry as a tool to help us see and be ahead of the problem before they are properly reported by the users. Application Performance Monitoring & Error Tracking Software. - Source: dev.to / 6 months ago
Create an account on Sentry and create a project for Django. You can follow the steps on Sentry documentation for Django to get your dsn link and update the SENTRY_DSN variable. Enter the value without quotes here. SENTRY_DSN=https://examplePublicKey@o0.ingest.sentry.io/0. - Source: dev.to / 6 months ago
This may seem obvious, now. But it’s not uncommon. So thanks, Sentry, for calling me out on it, helping me better understand the API I was working with, and for enabling me to make my code more robust. This has also helped to reduce noise in Sentry caused by my inability to type correctly whilst streaming. After all, a typo isn’t an application error; it’s a user error. - Source: dev.to / 6 months ago
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