Near Real-Time ETL on AWS: How Erbis Helps You Move from Data Lag to Data-Driven Decisions
Picture this: your operations team closes a major batch of orders at 3 PM, but your analytics dashboard won't reflect it until tomorrow morning's data refresh. Your sales director is making pricing decisions based on last night's numbers. Your data engineers are fielding complaints about stale reports while simultaneously trying to patch a broken pipeline that nobody fully documented. Sound familiar?
This is the daily reality for many organizations that have grown their data infrastructure organically — a database here, a cloud migration there, a BI tool bolted on top — without a reliable, low-latency way to connect operational data to analytics. The result is a painful gap between what's happening in the business and what the data actually shows.
Erbis built a managed ETL service specifically to close that gap, bringing your databases and data warehouses in sync in near real time, entirely on AWS.
What We're Solving
Most organizations run into the same wall: operational data lives in one place (Oracle, PostgreSQL, MySQL, SQL Server, RDS, Aurora, or on-premises systems), while analytics and BI tools need it in another (Amazon Redshift, Snowflake on AWS, or another AWS-hosted warehouse). Bridging that gap traditionally requires custom-built pipelines, third-party tools with steep licensing costs, and ongoing maintenance headaches.
Erbis eliminates all of that with a fully managed, professionally implemented ETL solution powered by AWS Glue — reducing data latency to minutes, not hours.
How It Works
Our team designs, implements, and configures automated near real-time ETL pipelines tailored to your environment. The solution handles:
Multi-source connectivity — supports Amazon RDS, Aurora, on-premises databases, and any JDBC-compatible source
Schema transformation — schema mapping, data type conversions, and incremental update handling, no custom coding required
Flexible warehouse targets — delivers data to Amazon Redshift, Snowflake on AWS, or any AWS-hosted data warehouse
AWS Glue Data Catalog integration — automatically catalogs schemas, tracks data lineage, and maintains metadata for governance and self-service analytics
Monitoring and optimization — ongoing pipeline health monitoring so performance stays consistent as your data volumes grow
Because everything runs inside your own AWS environment, you keep full control over security, costs, and compliance.
Three Use Cases Where This Delivers Real Value
1. Centralized Data Warehousing If your teams are making BI decisions based on yesterday's data, you're flying blind. This solution consolidates operational databases into your AWS data warehouse with freshness measured in minutes — giving analysts and executives a live view of the business without burdening your engineering team with pipeline maintenance.
2. Hybrid and Multi-Database Integration Enterprises rarely run on a single database. When your data lives across Oracle on-premises, PostgreSQL on RDS, and a SaaS platform simultaneously, cross-system analytics becomes a nightmare. Erbis automates the movement and transformation across your entire data ecosystem, so your teams can run unified queries without stitching datasets together manually.
3. Metadata Management and Data Governance Modern data platforms need more than pipelines — they need visibility. By leveraging the AWS Glue Data Catalog, your data teams get automatic schema discovery, lineage tracking, and centralized metadata management. This makes compliance audits faster and enables self-service analytics without the risk of shadow data.
Why Erbis
Erbis brings deep AWS expertise to data integration projects that are often underestimated in complexity. We don't just hand you infrastructure — we design the architecture, configure the pipelines, implement best practices for scalability and cost efficiency, and stay involved to keep your solution performing as your needs evolve. The result is faster time-to-insight with none of the overhead of building and maintaining ETL infrastructure in-house.
If your organization is ready to stop waiting on data and start acting on it, let's talk.
Get in touch with the Erbis team →
