HELGA.io is a data extraction tool for SAP S/4HANA. Its core goal is to send data from CDS views directly to modern analytics platforms, rather than relying on traditional middleware, staging layers, or OData workarounds. The context is that mainstream maintenance for SAP BW 7.5 will end in 2027, pushing enterprises toward a more modern data strategy closer to S/4HANA.
In terms of features and use cases, HELGA.io focuses on “direct extraction”: users select CDS views in a Fiori app, configure the output format and destination, and then trigger extraction either on a schedule or on demand. The underlying output is native Apache Parquet, offering columnar storage, compression, and schema preservation. It also mentions dictionary encoding and statistics, which can help downstream query performance. The tool supports 50K-row chunk processing for tables with millions of records, as well as both full and incremental loads.
The page does not provide the usual information about programming languages or SDKs, but it clearly states that the product is built on ABAP Cloud and RAP, with an emphasis on Clean Core compliance. Its integrations are relatively appealing: target destinations include S3, Snowflake, ClickHouse, DuckDB, Databricks, and any system capable of reading Parquet. This makes it a better fit for teams that want to bring SAP data into a lakehouse or cloud data warehouse architecture.
The product is currently in a launching soon / Early Access stage. The page only provides a registration form and does not disclose pricing, payment methods, licensing, deployment model, self-hosting options, or support SLA. As a result, procurement evaluation is still limited, and it is not yet possible to judge its long-term cost-effectiveness.
Its strengths are a clear positioning, lightweight architecture, alignment with the SAP Clean Core trend, and the use of Parquet to connect with the modern analytics ecosystem. The drawbacks are that public information remains limited, especially around security permissions, monitoring, failure retries, operations/deployment, and version compatibility. It is suitable for enterprise data teams already using SAP S/4HANA that want to bypass complex SAP data pipelines and connect directly to Snowflake, ClickHouse, DuckDB, Databricks, or S3.
Access from mainland China cannot be determined from the page alone and should be considered unknown for now. If it depends on overseas cloud services or a registration workflow, real-world availability still needs to be tested. Alternatives to consider include SAP Datasphere, SAP BW/4HANA, Fivetran, Airbyte, Qlik Replicate, Informatica, or a self-built ABAP/ETL pipeline.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on helga.io official site.
helga.io is an Unknown Dev Tools provider. TG4G tracks its product information, an overall rating of 7.0/10, and a China-accessibility score of Workable. Click "Visit Official Site" to reach helga.io directly.