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Airbyte vs. Hevo Data

Compare Airbyte, the leading open data movement solution, to Hevo Data. Compare data sources and destinations, features, pricing and more. Understand their differences and pros / cons.

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About Airbyte

Airbyte is the open standard in data movement, and can be deployed self-hosted, cloud, or hybrid. Airbyte is used by 18% of the F500 and has over 25,000 community members.

About Hevo Data

Hevo Data is a no-code, cloud-based ETL platform that automates data pipelines. It offers a simplified interface for non-technical users.

Airbyte vs. Hevo Data: Feature Comparison

Airbyte Hevo Data
Focus Data movement (including AI support), governance. Data ingestion, data transformation, and business intelligence.
Sources 550+ pre-built customizable connectors for both structured and unstructured sources. More than 110.
Destinations All data warehouses, lakes, databases, vector databases, LLMs, RAG and more. All major data warehouses, lakes and databases.
Customizability of connectors User can edit any pre-built connectors and build new ones within minutes with Airbyte's Connector Builder. No.
Database replication Full table and incremental via change data capture. Pricing adapted for this use case. Full table and incremental via SELECT/replication key, timestamp or change data capture for AWS-hosted Matillion ETL instances.
Pricing Volume-based pricing is available for the cloud edition, while capacity-based pricing applies to the Enterprise and Team versions. Event-based with free plan under 1 million events per month.
Integration with data stack Kubernetes, Airflow, Prefect, Dagster, dbt, LangChain, LlamaIndex, OpenAI, Cohere. No.
Support SLAs Available None
Security certifications SOC 2, ISO 27001, GDPR, HIPAA Conduit. None
Vendor lock-in Airbyte Core and Connectors are open source. Annual contracts.
Purchase process Self-service or sales for Airbyte Cloud. Open-source edition deployable in minutes. Self-serve or sales.
API Available through Airbyte Cloud and Airbyte's open-source edition. No.

Limitations of Using Hevo Data

Deployment Limitations

Hevo Data's architecture is exclusively cloud-based, eliminating any possibility for on-premise or hybrid deployments. This means all your data must flow through Hevo's infrastructure, which can be problematic for organizations with strict data residency requirements, regulatory constraints, or security policies that mandate keeping sensitive data within controlled environments. Companies in regulated industries often find this lack of deployment flexibility a significant barrier, as they cannot maintain direct control over their data pipeline infrastructure or ensure data never leaves their geographic region.

Limited Customization

While Hevo Data markets itself as a no-code solution, this simplicity comes at the cost of customization capabilities. The platform's transformation options are limited to basic operations, making it difficult to implement complex business logic or industry-specific data processing requirements. Advanced users frequently hit walls when trying to implement custom data quality rules, complex joins, or specialized transformations that go beyond Hevo's pre-built functionality. The absence of a code-based interface means technical teams cannot leverage their programming expertise to extend the platform's capabilities.

Scalability Concerns

Organizations report performance degradation when processing large data volumes through Hevo, with some experiencing timeouts and failed syncs as data scales. The event-based pricing model can lead to shocking cost increases as data volumes grow, making it difficult to maintain consistent budgets. Support availability is limited to business hours, which becomes problematic for global organizations or when critical pipelines fail outside support windows. These scalability limitations often force growing companies to migrate to more robust solutions, losing their investment in Hevo's setup and configuration.

Benefits of using Airbyte

Control your data

Airbyte gives you complete control over your data infrastructure with flexible deployment options that adapt to your security and compliance requirements. Whether you need to keep sensitive data on-premise for sovereignty requirements, leverage cloud scalability, or implement a hybrid approach, Airbyte's single codebase architecture ensures consistent functionality across all deployment models. This flexibility helps organizations meet strict compliance standards like GDPR and HIPAA while maintaining full ownership of their data pipeline infrastructure.

Build without limits

With over 600 pre-built connectors and an AI-powered connector builder, Airbyte removes the traditional barriers to data integration. The platform's extensive connector library covers everything from modern SaaS applications to legacy databases and unstructured data sources. When you need a custom connector, the no-code Connector Builder and low-code CDK enable rapid development in hours instead of weeks. This is amplified by a vibrant community of over 1000 contributors who continuously expand the ecosystem, ensuring you're never blocked by connector availability.

Scale with confidence

Airbyte's predictable capacity-based pricing model means you can scale your data operations without worrying about surprise bills or budget overruns. Unlike consumption-based models that penalize growth, Airbyte's transparent pricing grows predictably with your infrastructure needs. Combined with enterprise-grade reliability featuring 99.9% uptime SLAs and the freedom to choose between deployment options, organizations can confidently scale their data operations without vendor lock-in concerns.

FAQs

How difficult is it to migrate from my current data integration platform to Airbyte?

Migration is straightforward. Airbyte supports the same sources and destinations as other platforms, so you can recreate your pipelines quickly. Our team provides migration assistance for Enterprise customers, and our community has created guides for switching from specific competitors. Most customers complete migration in days, not weeks.

Will I lose my custom connectors when switching to Airbyte?

No. If you've built custom connectors on platforms like Singer (used by Stitch), they'll work with Airbyte. For proprietary connectors, our AI-powered Connector Builder lets you recreate them in hours. Plus, with 600+ pre-built connectors, you may find we already support your custom sources.

How does Airbyte's open source model affect security and reliability?

Open source enhances security through transparency - you can audit every line of code. Airbyte maintains SOC 2 Type II, GDPR, and HIPAA compliance. Enterprise customers get SLAs, dedicated support, and the option to self-host for maximum control. Our code is battle-tested by thousands of companies worldwide.

What happens to my costs when switching from row-based or consumption pricing?

Most customers see significant cost savings with our predictable capacity-based pricing. No more surprise bills from data spikes or seasonal variations. You'll know exactly what you'll pay each month, and you can scale without fear.

Can Airbyte handle near real-time data syncs or is it limited like some batch-only platforms?

Airbyte excels at high-frequency batch workloads. We support log-based CDC for database replication and can sync as frequently as every 5 minutes for APIs. While we're optimized for reliable batch processing rather than streaming, our performance meets the freshness requirements of most modern analytics and AI applications.

Do I need engineering resources to manage Airbyte, or can my analysts handle it?

Airbyte is designed for both technical and non-technical users. Our UI makes pipeline creation point-and-click simple. The Connector Builder requires little coding knowledge. However, having technical resources unlocks advanced features like custom transformations, API deployment, and infrastructure optimization.

Still have questions?