Hevo

Hevo

Hevo Data
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About

Save hours developing and maintaining ETL/ELT data pipelines in an easy-to-use environment made for effortless debugging. Visualize changes pre-deployment to ease dev processes, expedite testing, and simplify debugging. Foster team collaboration and save time on the most painful development stages by working with Python and our easy-to-use interface. Consolidate any amount of data, in any format and from endless sources with zero data storing processing hesitations. Guarantee the most accurate data with error flagging and real-time debugging within specific data processes and across pipelines in their entirety. Utilize compute, storage, and network bandwidth to efficiently auto-scale your infrastructure as data volume and velocity increase. Identify and pinpoint issues with real-time data observability tools, zoom in, and troubleshoot data pipelines thoroughly and accurately.

About

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.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Companies looking for a Data Orchestration Environment platform to shorten their data-to-value journey

Audience

Companies that want to load data into their data warehouse

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Credit based pricing system
Free Version
Free Trial

Pricing

$249/month
Free Plan - $0
Starter Plan - $249 to $999
Business Plan - Custom Pricing
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 4.7 / 5
ease 5.0 / 5
features 4.7 / 5
design 5.0 / 5
support 5.0 / 5

Pros & Cons from Real Users

Pros

  • Best part about Hevo is the product itself. It’s very easy to use and has good UI. The live customer support is Cherry on the cake.
  • Easy to use & interactive user interface. The addition of new tables is easy & quick. Built in transformation script is quite handy.
  • Hevo is an excellent data loader. It's very easy to set up data pipelines using the native data sources. Where native integrations are not available, it's pretty straightforward to set up a connection using the Rest API or Webhook connectors. I love how transparent the data ingestion and loading process is - really clear on when something fails and how to repair it. Customer service/support is fantastic as well, fast and responsive. Pricing is very competitive. There is no limit on number of data sources, the only limit is the row/event count that you pay for. And on top of that there's Hevo Activate for reverse ETL.

Cons

  • Nothing at this point in time. As of now it’s working well for us.
  • Initial setup can require DevOps knowledge. Transformation script might fail for complex modifications.
  • I wouldn't say cons as such, but some improvements would be more destinations for Hevo Activate, and possibly some better reporting so you can really dig into what specific data pipelines are doing (data volumes for tables, that kind of thing - it's in the dashboard, but if we could see it in a report that would be good)

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Datorios
Founded: 2020
United States
datorios.com

Company Information

Hevo Data
Founded: 2016
India
hevodata.com

Alternatives

Alternatives

APISCRAPY

APISCRAPY

AIMLEAP
Hevo

Hevo

Hevo Data

Categories

Categories

ETL Features

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Integration Features

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

Data Management Features

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Master Data Management Features

Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization

Data Extraction Features

Disparate Data Collection
Document Extraction
Email Address Extraction
Image Extraction
IP Address Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

ETL Features

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Integration Features

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

Data Replication Features

Asynchronous Data Replication
Automated Data Retention
Continuous Replication
Cross-Platform Replication
Dashboard
Instant Failover
Orchestration
Remote Database Replication
Reporting / Analytics
Simulation / Testing
Synchronous Data Replication

Integrations

5X
APISCRAPY
Amazon RDS
Amplitude
Apache Kafka
Apify
Databricks
Freshdesk
Google Analytics
Google Drive
Google Sheets
Instagram
Mailchimp
Mixpanel
MongoDB
Shopify
Taboola
Xero
YouTube
Zendesk

Integrations

5X
APISCRAPY
Amazon RDS
Amplitude
Apache Kafka
Apify
Databricks
Freshdesk
Google Analytics
Google Drive
Google Sheets
Instagram
Mailchimp
Mixpanel
MongoDB
Shopify
Taboola
Xero
YouTube
Zendesk
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