Hevo

Hevo

Hevo Data
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About

GlassFlow is a serverless, event-driven data pipeline platform designed for Python developers. It enables users to build real-time data pipelines without the need for complex infrastructure like Kafka or Flink. By writing Python functions, developers can define data transformations, and GlassFlow manages the underlying infrastructure, offering auto-scaling, low latency, and optimal data retention. The platform supports integration with various data sources and destinations, including Google Pub/Sub, AWS Kinesis, and OpenAI, through its Python SDK and managed connectors. GlassFlow provides a low-code interface for quick pipeline setup, allowing users to create and deploy pipelines within minutes. It also offers features such as serverless function execution, real-time API connections, and alerting and reprocessing capabilities. The platform is designed to simplify the creation and management of event-driven data pipelines, making it accessible for Python developers.

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 Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Developers wanting a tool to create event-driven data pipelines in minutes

Audience

Companies that want to load data into their data warehouse

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Supported
Online Not Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

$350 per month
Free Version Supported
Free Trial Supported

Pricing

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

Reviews/Ratings

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

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

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 Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported

Company Information

GlassFlow
Founded: 2023
Germany
www.glassflow.dev/

Company Information

Hevo Data
Founded: 2016
India
hevodata.com

Alternatives

Alternatives

APISCRAPY

APISCRAPY

AIMLEAP
Control-M

Control-M

BMC Software

Categories

Data Pipeline Supported

Categories

Data Extraction Supported
Data Integration Supported
Data Pipeline Supported
Data Replication Supported
ETL Supported
Integration Supported
Reverse ETL Supported

Data Extraction Features

Disparate Data Collection Supported
Document Extraction Not Supported
Email Address Extraction Not Supported
Image Extraction Not Supported
IP Address Extraction Not Supported
Phone Number Extraction Not Supported
Pricing Extraction Not Supported
Web Data Extraction Not Supported

Data Replication Features

Asynchronous Data Replication Supported
Automated Data Retention Supported
Continuous Replication Supported
Cross-Platform Replication Supported
Dashboard Supported
Instant Failover Not Supported
Orchestration Not Supported
Remote Database Replication Supported
Reporting / Analytics Supported
Simulation / Testing Not Supported
Synchronous Data Replication Supported

ETL Features

Data Analysis Not Supported
Data Filtering Supported
Data Quality Control Supported
Job Scheduling Supported
Match & Merge Not Supported
Metadata Management Not Supported
Non-Relational Transformations Supported
Version Control Not Supported

Integration Features

Dashboard Supported
ETL - Extract / Transform / Load Supported
Metadata Management Not Supported
Multiple Data Sources Supported
Web Services Not Supported

Integrations

Apache Kafka Supported
5X Not Supported
Adobe Marketo Engage Not Supported
Amazon Redshift Not Supported
Apache Flink Supported
Confluent Not Supported
Firebase Not Supported
Google Cloud Storage Not Supported
Heroku Not Supported
Intercom Not Supported
Jira Align Not Supported
Klaviyo Not Supported
Metabase Not Supported
Microsoft Advertising Not Supported
MySQL Not Supported
OpenAI Supported
Orchestra Not Supported
Outbrain Not Supported
Snowflake Not Supported
X Ads (Twitter Ads) Not Supported

Integrations

Apache Kafka Supported
5X Supported
Adobe Marketo Engage Supported
Amazon Redshift Supported
Apache Flink Not Supported
Confluent Supported
Firebase Supported
Google Cloud Storage Supported
Heroku Supported
Intercom Supported
Jira Align Supported
Klaviyo Supported
Metabase Supported
Microsoft Advertising Supported
MySQL Supported
OpenAI Not Supported
Orchestra Supported
Outbrain Supported
Snowflake Supported
X Ads (Twitter Ads) Supported
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