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Hevo Data is a no-code, bi-directional data pipeline platform specially built for modern ETL, ELT, and Reverse ETL Needs. Get near real-time data pipelines for reporting and analytics up and running in just a few minutes. Try Hevo for Free today!

Apache Geode
Apache MetaModel
SysTools DBX Converter
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MongoDB & Redis hosting database-as-a-service
Which is more popular?
Based on our record, Hevo Data should be more popular than ScaleGrid. It has been mentioned 10 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | hevodata.com | scalegrid.io |
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| Company | 2017 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


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...
No description of ScaleGrid yet.
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Hevo Data is recommended for businesses of all sizes that are seeking an easy-to-use platform for automating their data integration processes. It is particularly beneficial for teams that may not have extensive technical expertise but still need to manage complex data environments effectively. Companies looking for a scalable solution to handle real-time data streaming and transformation will also find Hevo Data beneficial.
No analysis of ScaleGrid yet.
Walkthroughs and reviews on video.
Getting Started with Hevo - An Overview
More videos
Monthly Reports for MongoDB® Database - ScaleGrid
More videos
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Hevo Data and ScaleGrid. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


Hevo Data is a cloud-based ETL/ELT service that allows users to build data pipelines easily. Launched in 2017, Hevo provides a low-code platform, giving users more control over mapping sources to targets and...
Hevo Data is a no-code SaaS data pipeline platform that started as a cloud service in 2017. Hevo is primarily ELT but has been adding some row-based ETL support.
Hevo Data is one of the leading open-source ETL tools. It is a cloud-based, no-code data pipeline solution with ETL functionality for efficient data integration and management across all your systems. It provides easy...
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Recommendations tracked on public social media and blogs since March 2021.


Hevo Data positions itself as a no-code ETL platform with native MongoDB destination support and over 150 pre-built connectors. The platform emphasizes ease of use while providing real-time data replication and transformation... - Source: dev.to / over 1 year ago
Some popular tools for data extraction are Airbyte, Fivetran, Hevo Data, and many more. - Source: dev.to / almost 2 years 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,... - Source: dev.to / about 4 years ago
Sign up at ScaleGrid Redis and select your preferred cloud provider. - Source: dev.to / almost 2 years ago
Though these providers often get attention, other services such as ScaleGrid, Crunchy Data, IBM Cloud Databases for PostgreSQL, and ElephantSQL also provide useful features. Each one meets different needs, including flexibility,... - Source: dev.to / over 2 years ago
It's overkill (and sqlite will be more than fine for your needs) - but check out a Postgres instance on scalegrid.io. Source: over 3 years ago
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Replicate data in minutes with prebuilt & custom connectors
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Non-Native Database Management Systems
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Consolidate your customer and product data in minutes
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