Point against Fivetran | Comparison of ETL tools

Read this feature comparison of popular ETL software solutions Stitch and Fivetran. Automation, compliance, and other features are explored.

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To help drive business growth and make informed decisions, organizations often turn to data software systems to turn their datasets into actionable insights. However, with many data solution tools available in the enterprise software market, organizations may find it difficult to choose the best option to manage and turn their data into valuable insights. We will review the solutions provided by Stitch and Fivetran ETL data software products to help you make an informed decision on the best options for your organizational data needs.

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What is Stitch?

Point is an ETL and data warehouse tool that can move and manage data from multiple sources. The product enables users to surface insights by controlling the data pipeline and loading user data into analytics platforms.

What is Fivetran?

Cintran is a cloud-native ETL data solution that maintains reliable data pipelines for its users. The system centralizes on-premises and cloud databases for advanced analytical capabilities.

Head-to-head comparison: Stitch vs. Fivetran

Data Source Extraction

The Stitch ETL tool allows users to access data from any data source. With Rest API, Stitch’s software can extract and process arbitrary data and send it to your data warehouse. It accepts JSON or Transit and returns JSON for all methods, using standard HTTP verbs and standard HTTP response codes to return statuses. The system even updates user data to avoid accidentally creating duplicates.

Stitch can run integrations within the framework using the standard open source Singer framework to manage user data pipelines. Users can also create their own Singer integrations for data mining. Stitch has an extensive and ever-growing network of implementation partners, and their community integrations include Autopilot, Braintree, Salesforce Marketing Cloud, and Freshdesk. The software exclusively uses HTTPS for web data sources.

Fivetran is a cloud-native solution that centralizes user data through its fully managed connectors. The software has over 150 connectors for replicating data from its growing range of data sources. The platform tracks API changes and transforms and normalizes denormalized API schemas for immediate data usage. Additionally, the system can quickly access new data from new sources with its agile analytics.

Fivetran automatically applies data updates for columns, tables and rows. Examples of connectors for data destinations include Snowflake, Databricks, Amazon S3, Amazon Redshift, Azure, and Google Cloud. Its integration options for data sources include Zoho CRM, Typeform, Oracle Peoplesoft, Oracle CX Sales, Instagram ads, and Amazon Ads. Granular logs of every data sync are sent to user logging systems, and the tool incrementally updates all data sources rather than reloading data from APIs and databases.

Data Pipeline Orchestration and Data Transformation

Stitch has several data pipeline orchestration features to give users visibility and control over their data flow. Users can schedule their data replication and granular extraction start times while using the detailed extraction logs and load reports to monitor the process. They can track the recency and frequency of new records with Stitch’s smart cache that refreshes to add custom columns to data.

The API key management feature allows users to set up their Stitch accounts programmatically. Configurable post-load webhooks can be used to programmatically notify users when new data is available. Point notifications can also be integrated with external monitoring services.

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Fivetran’s software can be used to create automated data pipelines with standardized schemas and manage all pipeline maintenance and configuration for the user. Being a cloud-native solution, users will not need to route their data through on-premises systems to send it to a data warehouse. Their transformation features give users control and visibility of their data pipelines and include built-in scheduling, data lineage charts, notifications, and data movement tracking.

Fivetran’s low-code solution enables users to transform single or multi-source raw data into analysis-ready datasets, enabling them to gain insights in less time and model data immediately a time they are loaded to the destination. Fivetran supports SQL-based transformations and UI planning for greater user accessibility and offers predefined data models that allow users to answer ad hoc questions and quickly create reports.

Automation and compliance features

The Stitch system can automatically detect, report, and resolve errors that occur in the data pipeline. When an automatic resolution is not possible, it warns users that their input is required. Their system also uses automation for security and compliance, with regular automated vulnerability scans and monitoring of application, system, and data access logs for anomalies, as well as classification and encryption of user data and credentials. Users can manage their data within the centralized data infrastructure for data governance and compliance.

Auditing is simplified because the system provides direct access to logs of data source integrations and notifies them of error information. Security is maintained as their app uses HSTS encrypted communication. Connection to data sources and destinations is secured with options such as SSL/TLS, SSH tunneling and IP whitelisting. The system’s servers are hosted in Amazon Web Services, which provides assurances for their computing environments. Stitch operates in an Amazon Virtual Private Cloud with subnets separated by security level and firewall.

Fivetran iterates, tests, monitors and maintains its data pipelines to ensure they are healthy and running smoothly. The system automatically adjusts schema migrations to handle all source changes so that they do not cause problems for the user. The Fivetran user interface provides users with real-time information on the data synchronization process, notifying them of updates and delays.

For troubleshooting, users can manage their connector and transformation alerts. The software’s enterprise security features include SOC 2 and GDPR compliance, encryption of data in motion and at rest, data purging after every sync, continuous system testing, connector combat testing, and management integrated infrastructure.

Selecting the best data solution for your needs

For users who want to replicate their data across multiple warehouses, Fivetran has that capability and may be a better option; However, Stitch can provide better integration options for your organization through its use of the open source Singer framework. By considering the features and characteristics of your ideal data solution, you can compare products and identify the best ETL tool for you.

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