Exasol-native ELT pipeline builder

Problem Context

Data engineers building cloud data lakes with AWS S3 and Exasol need an ELT tool to move data from sources like Sybase IQ and streaming platforms. They require a user-friendly way to design pipelines, transform data in Exasol using SQL, and manage versions across dev/test/prod environments. Existing tools either lack Exasol support, are too complex, or miss key features like no-code SQL transformations.

Pain Points

Current tools force manual workarounds—like writing custom scripts or using overkill platforms like Alteryx—which waste time and introduce errors. Tools like Matillion and Keboola either don’t integrate with Exasol or lack intuitive UI for SQL transformations. The user also struggles with version control for their ELT configurations, making it hard to track changes or deploy across environments.

Impact

Without a proper ELT tool, their data pipeline breaks frequently, delaying analytics and reporting. This costs hours of lost productivity per week and risks missed revenue opportunities from stale or incorrect data. The financial hit includes wasted spending on failed tools and the hidden cost of manual fixes by overworked engineers.

Urgency

This is a blocking issue—their entire data lake/DWH setup depends on a working ELT pipeline. Without it, they can’t move forward with analytics projects, compliance reporting, or even basic data access. The longer they go without a solution, the more their team falls behind on critical deliverables.

Target Audience

Data engineers, BI analysts, and DWH architects at mid-sized companies using Exasol and AWS S3. These users are often in industries like finance, healthcare, or retail where data accuracy and pipeline reliability are mission-critical. They’re frustrated with the lack of Exasol-specific ELT tools and the high cost of enterprise alternatives.

Solution Approach

A lightweight, web-based ELT tool built specifically for Exasol users. It connects to Sybase IQ, streaming sources, and AWS S3 with a drag-and-drop interface, then transforms data in Exasol using a no-code SQL builder. The tool also includes versioning for SQL/configs (syncable with Git) and environment isolation for dev/test/prod. The focus is on simplicity and Exasol-native features, avoiding the bloat of enterprise tools.

Key Features

1. No-code SQL transformations: Design joins, filters, and aggregations in Exasol’s UI with pre-built templates.
2. Versioning + IaC: Store SQL and pipeline configs in Git, with one-click deployments to different environments.
3. Environment isolation: Separate dev/test/prod setups with user permissions and source/destination controls.

User Experience

Users start by dragging sources (e.g., Sybase IQ) to S3, then to Exasol. They design transformations in Exasol’s UI with a point-and-click SQL builder. Changes are versioned automatically and synced to Git. For deployments, they select an environment (dev/test/prod) and click ‘deploy’—no manual scripting. The tool alerts them to pipeline failures or data quality issues in real time.

Differentiation

Unlike Matillion (no Exasol) or Keboola (missing UI), this tool is built *for- Exasol users. It avoids the complexity of Alteryx or the cost of Talend/Informatica while adding unique features like Git sync for SQL and environment isolation. The no-code SQL builder is simpler than Airflow/NiFi but more powerful than Keboola’s limited UI.

Scalability

Starts with a single-user plan ($99/mo) and scales to team plans (5+ seats) with additional environments (dev/test/prod). Users can add more sources (e.g., Snowflake, Redshift) later. The tool grows with the company’s data needs, from small pipelines to enterprise-grade workflows.

Expected Impact

Users save 10+ hours/week on manual ELT work and eliminate pipeline failures. Their data lake/DWH stays up-to-date, enabling faster analytics and reporting. The tool’s versioning reduces errors in production, and environment isolation improves collaboration. For businesses, this means higher data reliability, lower IT costs, and faster time-to-insights.