Whaly lets business teams build analysis and reports on top of their everyday tools (Hubspot, Postgres, Airtable, Google Ads, etc.) without coding. Your data is automatically synced with Whaly allowing you to build cross sources reports and design impactful dashboards. No more manual data update or #REF hell. Ditch your spreadsheet for Whaly.
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.
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Based on our record, Whaly should be more popular than Hevo Data. It has been mentiond 19 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.
Whaly seems to fit the bill for all your points. Lightweight yet robust BI tool that's focused getting small companies up and running with their data quickly. They also have bespoke 'customer portals' that you can share and brand for each of your customers. Hope this helps! I think they also have a free trial. Source: 11 months ago
I totally agree with the approach of having metrics in the BI tool - it makes it easier to collaborate around this metrics layer, and makes it easier to surface any potential staleness issues to business users directly. There are a few BI tools (more geared to small businesses as you said) that do this (Whaly for example). Source: 11 months ago
There are some modern BI tools that are low/no-code and that combine data sources and can get you up and running quickly. Whaly (http://whaly.io) for example specializes in helping founders, operations leads, non-technical folks to do this really quickly. They also have a free trial if you want to check it out. Maybe you can then hire someone from there to manage the tool and build reporting, but at less cost... Source: 11 months ago
Try checking out Whaly (http://whaly.io) they kind of specialize in founders and startups who need to get a handle on data, and I think they do everything you described. They also have a free trial and can help you set it all up. Source: 11 months ago
Thanks for this! I agree these are solid platforms, however, there are more modern BI solutions that might be a better fit for certain companies (depending on size and data maturity.) Particularly if there's no data team at the company, there are solutions that offer modeling completely in SQL or no-code (Whaly is one example). Source: 11 months ago
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
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