Data integration platforms play a crucial role in the modern analytics ecosystem, enabling teams to gather, transform, and utilize data effectively. Hevo Data and Integrate.io are two popular ETL platforms that cater to diverse needs, but each has unique features and advantages. This article compares Hevo Data and Integrate.io in terms of functionality, use cases, security, and pricing to help data analysts select the right tool. For hands-on insights, we include examples of data pipelines for each platform and answer frequently asked questions.
Key Takeways
- By the end of reading this article, you can decide Hevo Data or Integrate.io or the combination of both the tools are suitable for your requirement.
Overview of Hevo Data and Integrate.io
Hevo Data: Hevo Data is a no-code data pipeline platform that automates data integration and ETL processes. Hevo offers real-time data streaming, focusing on ease of use, quick deployment, and efficient management of data pipelines. It supports over 150 connectors to various SaaS applications, databases, data lakes, and cloud data warehouses.
Integrate.io: Integrate.io is a low-code data integration tool with a user-friendly visual interface and extensive transformation capabilities. It supports over 220 transformations and allows for advanced, custom workflows without extensive coding. You can also carry out change data capture (CDC) to replicate only the changes from various sources instead of the entire data set every time there is an update. Integrate.io’s compliance with SOC 2, HIPAA, GDPR, and CCPA also makes it highly suitable for organizations with strict regulatory requirements. It also has reverse ETL functionalities.
Integrate.io’s platform is one of the data integration solutions that provide seamless integration with dbt. Hevo also supports this.
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Key Features Comparison
Feature
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Hevo Data
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Integrate.io
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User Interface
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No-code, intuitive interface
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Low-code, drag-and-drop interface
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Real-Time Processing
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Real-time data streaming capabilities
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Primarily batch processing, with scheduling options
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Data Transformation
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Basic transformations; requires SQL for advanced tasks
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220+ pre-built transformations, drag-and-drop interface
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Connectors
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150+ connectors to SaaS, databases, and cloud services
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100+ connectors including SaaS, on-prem, and CRM
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Security Compliance
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GDPR compliant
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SOC 2, HIPAA, GDPR, CCPA compliant; AES-256 encryption
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Support
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Limited support; self-serve documentation
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24/7 customer support with hands-on assistance
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Pricing
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Tiered pricing based on data volume and connectors
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Flexible pricing with plans starting at $15,000
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Hands-On Example: Building a Data Pipeline
Hevo Data Example
1. Setup: First step in the data integration is to log into Hevo and create a new pipeline. Select the source from a list of pre-built connectors, such as MySQL or Google Analytics.
2. Data Extraction: Configure the source connection by inputting the necessary credentials and selecting the tables or data entities to extract. Hevo offers real-time streaming, so data is ingested continuously.
3. Transformation: Hevo provides basic transformations within the pipeline, such as data type casting and filtering. For more complex transformations, SQL is required. For instance, to calculate the daily active users, you could write a SQL statement:
SELECT date, COUNT(DISTINCT user_id) AS active_users
FROM user_activity
GROUP BY date
4. Loading: Select a destination, such as Snowflake, and map the transformed data to the target schema. Hevo automatically schedules the pipeline to keep data updated in near real-time.
Integrate.io Example
1. Setup: Log into Integrate.io, create a new package, and select a data source (e.g., Salesforce). Connect by entering your credentials and defining the data entities, such as leads or opportunities, to extract.
2. Data Extraction: With Integrate.io’s pre-built connectors, extraction is as simple as defining the source data and the tables or fields needed.
3. Transformation: Integrate.io’s no-code interface makes transformations accessible to all users. To create a new field, such as “average order value,” add a “Calculation” component:
- Define the calculation, such as total_value / order_count, directly in the component without writing code.
4. Loading: Set the destination (e.g., Amazon Redshift), and map fields as needed. Schedule the job based on your data needs, such as hourly or daily, for consistent data updates.
Security and Compliance
Hevo Data provides basic security features, including GDPR compliance, and allows for secure data connections through HTTPS and other secure protocols. However, Hevo lacks advanced compliance certifications such as SOC 2 and HIPAA, which are often required for highly regulated industries.
Integrate.io goes a step further with SOC 2, HIPAA, GDPR, and CCPA compliance, ensuring that data is handled securely in transit and at rest with AES-256 encryption. Integrate.io’s platform is specifically designed for enterprises that need to meet strict compliance requirements and prioritize data security.
When to Choose Hevo Data vs Integrate.io
Choose Hevo Data if:
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Real-time data streaming is a top priority, especially for real-time analytics.
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You require a no-code environment for data ingestion and transformation.
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Your data security needs are minimal and do not require stringent compliance.
Choose Integrate.io if:
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You need a robust low-code environment with extensive pre-built transformations.
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Security and regulatory compliance are top priorities for your organization.
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You work with complex workflows requiring flexible, custom transformations.
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Conclusion
Hevo Data and Integrate.io are both powerful ETL/ELT platforms that cater to different needs. Hevo Data’s real-time capabilities and no-code environment are beneficial for teams seeking straightforward data ingestion with live updates. However, for organizations that require robust data security, extensive transformations, and compliance with regulations, Integrate.io provides a comprehensive low-code solution that meets these needs exceptionally well.
Ultimately, the best choice depends on your business needs and use cases of real-time data processing, data governance, security, ease of use, and compliance. To get started with automating your data, schedule a time to speak with one of our Solution Engineers here.
FAQs
Q1: Can both Hevo Data and Integrate.io handle complex transformations during data replication?
- Hevo Data: Hevo offers basic transformations within its interface, but advanced transformations require SQL, which can limit non-technical users.
- Integrate.io: Integrate.io provides over 220 pre-built transformations accessible through a visual, no-code interface, making complex transformations achievable for all users without the need for coding.
Q2: Which platform offers better security and compliance features?
- Hevo Data: Hevo complies with GDPR but lacks certifications like SOC 2 and HIPAA, which may be essential for regulated industries.
- Integrate.io: Integrate.io is SOC 2, HIPAA, GDPR, and CCPA compliant, with advanced encryption and secure data handling practices, making it highly suitable for industries with strict data protection standards.
Q3: How do the pricing models of Hevo Data and Integrate.io differ?
- Hevo Data: Hevo offers tiered pricing based on data volume and connectors, with additional costs as data usage increases.
- Integrate.io: Integrate.io’s pricing is flexible and depends on the number of connectors used, starting at $15,000. This model allows for predictable budgeting, especially for businesses with consistent data workloads.
Q4: Can I use Integrate.io for real-time data processing like Hevo Data?
- Hevo Data: Yes, Hevo is designed for real-time streaming, making it suitable for live data processing and analytics.
- Integrate.io: Integrate.io is primarily focused on batch processing with scheduling options, so it may not be ideal for real-time use cases but provides robust scheduling and automation for frequent updates.