Hevo Reviews & Pricing

by Hevo Data | Founded 2017, San Francisco, CA

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Categories:

ETL Tools
Data Integration Tools
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What is Hevo?

Industry Specialties: Serves all industries

Hevo is a fully managed end-to-end data pipeline service for enterprises of all sizes. Businesses can glean proprietary insights from disparate sources that include live data from streaming devices. With its no-code interface and automated workflows, data teams can integrate business information for reporting and analytics.

It enables running minimum-impact data workflows, setting aside erroneous events and anomalous records for redressal, then assimilating them directly into the pipeline. The vendor offers a 14-day free trial while providing a few free SaaS sources to create data pipelines. Users of the Free plan have access to both free and paid sources.

Pros:

Cloud-based, low overhead
Easy-to-use interface
Wide range of connectors
Cost-effective for basic needs
Automated data refresh

Cons:

Limited customization options
Not ideal for complex needs
Scalability concerns
Limited data transformations
Limited open source integration
Pricing can increase with usage
Vendor lock-in concerns

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User Sentiment i

Based on 83 reviews:

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#28

Hevo is ranked #28 in the ETL Tools product directory based on the latest available data collected by SelectHub. Compare the leaders with our In-Depth Report.

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Hevo Pricing

Based on our most recent analysis, Hevo pricing starts at $49 (Free, Monthly, Quote-based).

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Starting From: $49
Pricing Model: Free, Monthly, Quote-based
Free Trial: Yes, Request for Free

Training Resources

Hevo is supported with the following types of training:

Documentation
In Person
Live Online
Videos
Webinars

Support

The following support services are available for Hevo:

Email
Phone
Chat
FAQ
Forum
Help Desk
Knowledge Base
Tickets
Training
24/7 Live Support

Hevo Benefits and Insights

Why use Hevo?

Key differentiators & advantages of Hevo

Data Source Connectivity: Integrates with databases, SaaS systems, cloud storage, SDKs and streaming services to analyze data in multiple formats. Draws data from more than 100 sources with pre-built connectors.
Deploy Seamlessly: Set up pipelines in a few minutes through a simple and interactive UI. Analyze source systems to optimize data integration calls without compromising data quality and accuracy. Replicate data utilizing minimum resources – incrementally update assets as new data comes in.
Scales As Data Grows: Scales horizontally as data volumes and speed increase. Handles millions of records per minute with minimum latency, including spikes in incoming data volume.
Secure Data: Protect digital assets with end-to-end encryption and two-factor authentication. The system is SOC II, GDPR and HIPAA compliant.
Get Round-the-Clock Support: Reach out to vendor support for technical assistance through chat and email.

Industry Expertise

The vendor provides data integration to multiple clients across diverse industries globally. Some of these are eCommerce, marketing, health and fitness, EMR, fantasy sports, finance and loan providers.

Hevo Reviews

Average customer reviews & user sentiment summary for Hevo:

83 reviews

94%

of users would recommend this product

Hevo has a 'excellent' User Satisfaction Rating of 94% when considering 83 user reviews from 3 recognized software review sites.

Synopsis of User Ratings and Reviews

Based on an aggregate of Hevo reviews taken from the sources above, the following pros & cons have been curated by a SelectHub Market Analyst.

Pros

Effortless Data Integration: Pre-built connectors and user-friendly interface simplify data extraction from diverse sources without complex coding, ideal for non-technical users.
Automated Data Pipelines: Schedule data refresh automatically and ensure timely updates in your target destination, reducing manual intervention and improving data freshness.
Cloud-Based Scalability: Serverless architecture automatically scales to accommodate growing data volumes without infrastructure management, offering flexibility and cost-efficiency.
Cost-Effective for Basic Needs: Free tier and tiered pricing plans cater to various data volumes and budgets, making Hevo an attractive option for startups and small businesses.
Actionable Data Insights: Monitoring tools and alerts provide real-time visibility into pipeline performance and data quality, enabling proactive troubleshooting and informed decision-making.

Cons

Customization Constraints: While pre-built connectors are convenient, advanced data manipulation needs often require more scripting and transformation options, pushing users beyond Hevo's capabilities.
Scalability Concerns for Large Data: Handling massive datasets can lead to performance issues or limitations, particularly with complex file processing, raising concerns for organizations with rapidly growing data volumes.
Vendor Lock-in Potential: Proprietary data formats and limited open-source integration might complicate migration to other platforms in the future, making it less flexible for organizations with long-term growth plans.
Pay-as-you-go Cost Fluctuations: Unpredictable data usage can lead to unexpected charges under the pay-as-you-go model, requiring careful monitoring and potentially exceeding budget limitations.
Limited Community Support: Compared to open-source alternatives, Hevo's smaller community can offer less troubleshooting support and resource availability for specific use cases.

Researcher's Summary:

Hevo user reviews paint a contrasting picture. Proponents praise its effortless data integration with pre-built connectors and a user-friendly interface, making it ideal for non-technical users and reducing the need for complex coding. Automated data pipelines and cloud-based scalability further attract users seeking timely data updates and flexible infrastructure. Additionally, Hevo's free tier and tiered pricing plans are lauded for being cost-effective, especially for startups and businesses with basic needs.

However, critics point out limitations in Hevo's customization options. While its pre-built tools are convenient, users with complex data manipulation needs crave more flexibility and scripting options, citing challenges in tailoring pipelines for specific requirements. Scalability concerns also emerge for handling massive datasets, with some users reporting occasional performance issues. Additionally, Hevo's proprietary data format and limited open-source integration raise concerns about vendor lock-in, making it less suitable for organizations prioritizing future platform flexibility. Finally, the pay-as-you-go model can lead to unexpected costs for businesses with unpredictable data fluctuations. Compared to similar ETL tools like Fivetran or Stitch, Hevo shines in its user-friendliness and affordability. However, its limitations in customization, scalability for large data, and potential for vendor lock-in can be dealbreakers for complex ETL needs. Ultimately, Hevo excels in simplifying data integration for users with basic or moderate data volumes and budget constraints, but organizations with advanced requirements or demanding flexibility might need to explore alternative solutions.

Key Features

Data Modeling: Do more with data – create data models through a simple, visual interface and schedule to run at specific times. Ensure digital assets are always analysis-ready through materialized views within the data warehouse.
Automation: Automatically manages all future data-related tasks in the pipeline – no need for ETL scripts and cron jobs. Autonomously identifies and fixes any errors detected. Ensure data flows smoothly to data repositories – detects schema changes in incoming data and replicates in destination stores.
Live Monitoring: Get intelligent alerts about data sync jobs, delays and errors directly from the UI. Monitor all system logs in one place with Cloud Watch. View as data flows from sources to data warehouses.
Exception Handling: Ensures no data is lost — hosts erroneous events in the replay queue and issues alerts simultaneously. Scans the replay queue for any error fixtures every few minutes, then automatically ingests the events back into the pipeline.
Anomaly Detection: Spots anomalies in incoming data and notifies data teams instantly. Ensures analytics processes aren’t impacted – sets aside affected records for corrections. A fault-tolerant architecture prevents data loss in case of pipeline failures.

Approach to Common Challenges

Data Integration Complexity: Hevo offers a wide range of pre-built connectors for popular databases, cloud apps, and file formats, simplifying data source integration and reducing manual coding. Its drag-and-drop interface makes creating and managing data pipelines intuitive, even for users with limited technical expertise.
Data Transformation Challenges: Hevo provides built-in data transformation functions for cleansing, filtering, and enriching data, eliminating the need for complex scripting or additional tools. Its automated data refresh ensures timely updates and consistent data quality in your target destination.
Scalability and Performance Concerns: Hevo's cloud-based architecture scales automatically to accommodate growing data volumes and pipeline complexity. Its serverless infrastructure eliminates the need for infrastructure management, ensuring smooth performance and cost-efficiency.
Limited Visibility and Control: Hevo offers comprehensive monitoring and logging tools, providing real-time insights into pipeline performance, data quality, and resource utilization. Its alerting system notifies you of any potential issues, enabling proactive troubleshooting and maintenance.
Security and Compliance Risks: Hevo adheres to strict security protocols and industry-standard compliance certifications, safeguarding your sensitive data throughout the ETL process. Its data encryption and access controls ensure data privacy and meet regulatory requirements.

Cost of Ownership

Frequently asked questions regarding Hevo pricing include:

Is Hevo offered in a free tier or trial?
A: Yes, Hevo offers a free plan with limited features and data volume allowance. This is a good way to test the platform and familiarize yourself with its capabilities before committing to a paid plan. However, for larger data volumes and advanced features, you'll need to upgrade to a paid subscription.
How does Hevo pricing scale as my data usage increases?
A: Hevo uses a pay-as-you-go pricing model based on the amount of data processed each month. The more data you transfer, the higher your monthly cost will be. This can be advantageous for smaller businesses with predictable data loads, but for organizations with significant data fluctuations, it's important to monitor usage and carefully choose the right plan to avoid unexpected costs.
Are there any hidden fees or additional costs to consider?
A: While Hevo's pricing is relatively transparent, some additional costs may apply depending on your needs. For example, using certain premium connectors or exceeding your allotted data volume can incur additional charges. Additionally, migrating existing ETL pipelines to Hevo may require professional services, which can add to the overall cost. Be sure to understand all potential costs before finalizing your pricing plan.