#1 most frequent
United States of America
61.0%75 installations of 123
What is Hevo?
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 to save engineering time/week and drive faster reporting, analytics, and decision making.
The platform supports 100+ ready-to-use integrations across Databases, SaaS Applications, Cloud Storage, SDKs, and Streaming Services. The platform boasts 500 data-driven companies spread across 35+ countries using Hevo for their data integration needs.
- Real-Time Data Pipeline
- Automatic Schema Detection
- Data Modelling Capability
- Zero Data Loss
- Private Hosting
- Real-time Alerts
- 24X7 Support
Categories & Use Cases
Media
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Screenshot of Transformations
Who Buys & Uses Hevo Data
#2 most frequent
India
9.8%12 installations of 123
#3 most frequent
United Kingdom of Great Britain and Northern Ireland
5.7%7 installations of 123
Strategically Sound Approach for Data Enhancement and Complex Analytics.
Use Cases and Deployment Scope
Hevo Data is a highly coordinated data application, with numerous functionalities and approaches that increase the service issuance in the company. Hevo Data connects to different data sources, where it ensures every aspect is considered from the security part to the accessibility modalities. More so, Hevo Data is known to handle both complex and simplex transformations and analytical demands. The establishment of data models also increases the speed and the efficiency of the company's operations.
Pros
- Hevo Data handles all forms of data transformation, from the simplex to the complex ones.
- The available data models increases the credibility of the analysis.
- The comprehensive and successful data sourcing and connectivity allows businesses to maneuver.
Cons
- Hevo Data is slightly complex, in matters operations support.
- Further, Hevo Data has a poor orientation, and this discourages new users.
- Finally, Hevo Data requires proper price revision.
Most Important Features
- Data integration and connectivity is one of the efficient services.
- Complex and simplex analytics or transformation is another hefty benefit.
- Credibility of the models developed by Hevo Data is another huge transformation.
Return on Investment
- Comprehensive results from the data processing is a perfect approach from the tool.
- Authentic data models brings a high automation process and more productivity.
- Expansive data sourcing brings clarity and genuine results after inferential analytics.
Reasons why I like using Hevo Data to create data models
Use Cases and Deployment Scope
Hevo Data is a ETL tool which helps us in flattening of nested data. Our database is MongoDB which is a semi-structured database. So Hevo Data help us to create data pipelines or data models which is a processed table. Hevo Data can be connected to multiple sources such as Redshift, Prosgresql, google sheets etc. Hevo Data really help us to create automated pipelines which updates on near real-time.
Pros
- Building of automated pipelines
- Models updates on near real-time
- Flattening of nested data
- Hevo Data detects anomaly and notified us about the issue
- Scaling of data is very easy
Cons
- If we are getting data from other sheets then sheet which is connected to Hevo Data doesn't updates in real-time.
- Hevo Data change time in it's workbench on its own. For e.g. If our database timestamp is in UTC format then Hevo Data will automatically change the time to IST but if I run the same code outside the Hevo Data workbench then time is still in UTC. This creates lots of confusion while working on Hevo Data.
Most Important Features
- Updating of data models
- Getting data from different data sources in a streamline way
Return on Investment
- When we were able to release reports on near real-time, it has positive impact in our business
Alternatives Considered
Panoply and Devart ODBC Driver for Oracle
Other Software Used
Google Data Studio, Panoply, Studio 3T, Microsoft Power BI
Hevo - a price fit for non-complex use
Use Cases and Deployment Scope
We extract data from various sources and load into a single SQL warehouse. We extract sources from Facebook, AdWords, Bing and various others. We load roughly 70GB a month and Hevo keeps our data live (or not) depending on our use case. It addresses our ETL issue by simplifying and housing everything in a single tool instead of us writing script/api's and then scheduling ,which is of course the cheaper option but maintenance overhead is not fun.
Pros
- Extract
- Load
- Transform
- Support
Cons
- Transformation
- More Sources
- More Destinations
Most Important Features
- Extract
- Load
- Transform
- Price Competitive
Return on Investment
- Increased Time
- Decreased Failures
- Increased User Happiness
Alternatives Considered
Fivetran
Other Software Used
PostgreSQL, Heroku Platform, WhatsApp Business
Hevo - fantastic low cost alternative to Fivetran
Pros
- 5 Minute Sync with Salesforce
- Transformations
- Auto Schema Mapping
- Push to Salesforce
Cons
- Support - their support teams try to be helpful, but often miss the mark
- Error logging - we've run into a few issues debugging errors and limited support is provided by Hevo
Most Important Features
- 5-Minute Salesforce Sync
- Transformations
- Hevo Activate
Return on Investment
- Saved us 1000s of dollars compared to Fivetran
- Saved engineering time by using Hevo transformations
Alternatives Considered
Fivetran
Other Software Used
Lucidchart, Tableau Desktop, Atom, dbt (data build tool), from Fishtown Analytics, Google BigQuery
