Airbyte vs SAP Data Intelligence: Tabular Comparison
Here’s a table demonstrating the key differences between SAP Data Intelligence vs Airbyte:
Compare Airbyte's ETL capabilities with SAP Data Intelligence's data integration and orchestration features to choose the right solution for your business.
Here’s a table demonstrating the key differences between SAP Data Intelligence vs Airbyte:
Let’s now look at the comprehensive comparison between Airbyte vs SAP Data Intelligence to further understand the key differentiating aspects.
Airbyte consists of two parts: platform and connectors. The platform provides the services required to execute data integration operations. The key components of the Airbyte platform are the user interface, configuration API, job scheduling, and logging. The connectors in Airbyte architecture are separate modules that retrieve/store data from/to sources and destinations.
In the above diagram:
On the other hand, the architecture of SAP Data Intelligence consists of four different components. The core components of this tool include data integration, streaming, orchestration, and governance.
In the above diagram:
Airbyte is a robust data integration solution that allows you to develop ELT and ETL pipelines. In addition to the intuitive UI, it offers several options—PyAirbyte, API, Terraform Provider—to build custom data pipelines.
The Airbyte UI simplifies the pipeline development process for non-tech users, while PyAirbyte—a Python library—facilitates working with Airbyte connectors in a developer environment. With this library, you can extract data from multiple sources and load it in popular SQL caches like DuckDB, Snowflake, and Postgres. These caches are compatible with Python libraries like Pandas and AI frameworks like LangChain.
If you wish to interact with Airbyte using another programming language, use Airbyte API. For more information, follow the official Airbyte API documentation. The Terraform Provider option lets you manage Airbyte resources using Terraform—an Infrastructure as Code solution.
In contrast, SAP Data Intelligence comprises data management capabilities, which include data integration, streaming, orchestration, and governance. With this tool, you get multiple features that encourage you to handle data throughout its life cycle. However, its integration capability is limited because it offers less number of data connectors than Airbyte.
With Airbyte, you can convert raw, unstructured data into vector embeddings and store them in supported vector databases. These embeddings are compatible with AI applications and enable you to train and build robust chat applications.
Compared to Airbyte, SAP Data Intelligence offers limited support for GenAI workflows. Although it grants features to develop machine learning models, the lack of support for vector databases makes it challenging to build AI applications.
In addition to the Open-source version, Airbyte has multiple pricing options, including Cloud, Team, and Enterprise. The Open Source version is free to use and is usually for data practitioners without the need for governance. The Cloud and Team editions are cloud-hosted, eliminating infrastructure management from your end. The Enterprise edition is for large-scale organizations that prioritize data security and control.
The Cloud version has a volume-based or row-based pricing plan. On the other hand, Teams and Enterprise editions have a capacity-based pricing model. In this plan, the cost depends on data workers, which represent the processing power required for running data pipelines, not on the volume of data moved.
SAP Data Intelligence, in hindsight, doesn’t provide pricing information upfront, but you can contact the SAP sales team for details.
Selecting any one data integration solution between Airbyte and SAP Data Intelligence depends on your organization’s specific requirements and scale.
If your primary need is to centralize data into a specific location, irrespective of the size of your data, Airbyte would be a preferable choice. It offers high scalability and an extensive library of data connectors that allow you to replicate data stored in different environments effortlessly.
Alternatively, if you wish to centralize data and execute orchestration operations, SAP Data Intelligence might be suitable. This solution is also a desirable option when your workflow heavily relies on the SAP ecosystem and products.
Discover the keys to enhancing data pipeline performance while minimizing costs with this benchmark analysis by McKnight Consulting Group.
Data is often available in diversified locations across different platforms. Integrating this data into a single repository fosters the generation of actionable insights to enhance business performance. It can also permit you to eliminate data silos, enabling the access of data from different teams and improving communication within your organization.
However, creating custom solutions to integrate data from disparate sources can be cumbersome. To overcome this challenge, there are multiple tools that you can use to facilitate effective data integration. Among the popular tools are Airbyte and SAP Data Intelligence.
This guide will outline the key differences between Airbyte vs SAP Data Intelligence and which one you should prefer based on your business needs.
Airbyte is a no-code data integration tool that enables you to move data from various sources to the destination of your preference. Offering more than 550 connectors, it lets you migrate structured, semi-structured, and unstructured data between numerous data stores.
If the connector you seek is unavailable, Airbyte provides you with multiple connector development options, including:
SAP Data Intelligence is a data management solution that facilitates data integration and orchestration within your organization. It empowers you to consolidate data from distributed locations into a centralized repository for enhanced analytics. Along with the integration feature, SAP also allows you to orchestrate data pipelines and apply business regulations.
Airbyte has become our single point of data integration. We continuously migrate our connectors from our existing solutions to Airbyte as they became available, and extensibly leverage their connector builder on Airbyte Cloud.
Airbyte helped us accelerate our progress by years, compared to our competitors. We don’t need to worry about connectors and focus on creating value for our users instead of building infrastructure. That’s priceless. The time and energy saved allows us to disrupt and grow faster.
We chose Airbyte for its ease of use, its pricing scalability and its absence of vendor lock-in. Having a lean team makes them our top criteria.
The value of being able to scale and execute at a high level by maximizing resources is immense