Recruitment
Viettel IDC

What Is an ODS? Understanding Operational Data Stores and Comparing ODS vs. Data Warehouses

Aug 27, 2026

To gain a comprehensive, real-time view of their operations, businesses need the ability to instantly access data directly related to ongoing business activities. An Operational Data Store (ODS) makes this possible. Join Viettel IDC to explore what an ODS is, its key benefits, and how it works effectively.

What Is an ODS? Understanding Operational Data Stores and Comparing ODS vs. Data Warehouses

What Is an ODS?

An ODS (Operational Data Store) is a centralized database designed to integrate real-time data from multiple sources. Unlike a Data Warehouse, which primarily stores historical data for long-term analysis, an ODS focuses on current and up-to-date information.

It acts as an intermediary layer between day-to-day transactional systems and large-scale data repositories. By ensuring data consistency and providing fast access to the latest information, an ODS enables organizations to make timely decisions based on what is happening at the moment.

Key Characteristics of an ODS

- Real-time data integration: Data is collected and made available for use almost immediately after it is generated by source systems, accurately reflecting the current state of the business.

- Data consolidation: An ODS can collect information from multiple fragmented sources and combine it into a single, unified output. For example, customer information from websites, mobile apps, and physical stores can be consolidated into one customer profile.

- Low latency: The system is optimized to minimize waiting time, allowing users and applications to access information almost instantly.

- Data cleansing: An ODS supports preliminary data standardization and cleansing processes, making information more organized and accurate before it moves on to more complex transformation or analytical stages.

Key Benefits of an ODS

Real-Time Data Access

- Immediate availability: An ODS provides near-instant access to integrated data from various operational systems.

- Timely decision-making: With continuously updated information, managers can make fast and accurate decisions as events unfold.

Improved Data Quality and Consistency

- Unified integration: Consolidating data from multiple sources helps ensure that information remains consistent across systems.

- Data cleansing: An ODS often incorporates validation and cleansing processes to ensure that output data meets high-quality standards before it is used.

Enhanced Operational Reporting

- Comprehensive visibility: Provides an overall, real-time view of business operations, increasing the practical value of reports.

- Customized reporting: Supports the creation of dashboards and specialized reports tailored to the specific needs of different operational departments.

More Efficient Data Management

- Centralized repository: An ODS serves as a central data repository, reducing the fragmentation and duplication of data across multiple locations.

- Reduced load on source systems: By shifting reporting workloads to the ODS, businesses can reduce the burden on core transactional systems such as ERP and CRM platforms, helping maintain their operational performance.

Maximum Support for Business Operations

- Operational analytics: Enables businesses to monitor processes as they happen, helping identify and address issues at an early stage.

- Improved performance: Optimizes the processing of operational queries and transactions, resulting in faster response times.

Scalability

- Flexible architecture: Designed to handle large volumes of transactions and information, an ODS can scale easily as the business grows.

- Easy integration: It can accommodate additional data streams or connect with new applications as business models evolve.

Ensuring Regulatory Compliance

- Audit trails: An ODS records detailed histories of data changes, which is highly valuable for audits and compliance with regulatory requirements.

- Data governance: With accurate and traceable data, an ODS provides strong support for implementing an organization's data governance policies.

Improved Customer Service

- 360-degree customer view: Employees can access a customer's complete purchase and interaction history, helping improve service quality.

- Faster response: Customer inquiries and complaints can be resolved more quickly with access to the latest information.

Cost Optimization

- Reduced data duplication: Minimizes unnecessary copies of data across multiple systems, helping reduce storage and management costs.

- Greater operational efficiency: Simplifies data flows and accelerates reporting processes, allowing teams to save time and focus on higher-value analytical tasks.

Key Benefits of an ODS

Comparing an ODS and a Data Warehouse (DW)

Think of an ODS as a live news feed that reflects what is happening right now and supports immediate operational actions. A Data Warehouse, on the other hand, is like a historical library that stores knowledge accumulated over many years for research, analysis, and strategic planning.

Criteria

Operational Data Store (ODS)

Data Warehouse (DW)

Core purpose

Supports day-to-day operations and provides current data.

Supports strategic analysis and long-term decision-making.

Data freshness

Real-time or near real-time.

Historical data, updated periodically, such as daily or weekly.

Data retention period

Short-term, ranging from several days to several weeks. Primarily retains the most recent data.

Long-term, ranging from several months to many years, including historical changes.

Data integration

Integrates data to ensure consistency across sources.

Integrates, extensively cleanses, and transforms data for analysis.

Usage

Fast operational reporting and checking the status of orders or transactions.

Complex queries, trend analysis, forecasting, and advanced analytics.

Data structure

Typically normalized to optimize write and update performance.

Typically denormalized, using models such as star or snowflake schemas to optimize reporting and read performance.

Query performance

Optimized for large volumes of simple, individual queries.

Optimized for complex and resource-intensive queries on large datasets.

Primary users

Operational staff and middle managers who need immediate access to data.

Data analysts, BI users, and senior executives.

Update frequency

Continuous, often as transactions occur.

Periodic, typically through batch jobs run overnight or on weekends.

Data scope

Detailed data representing the current state.

Aggregated data covering a broad range of historical information.

Level of detail

Highly granular, focusing on individual transactions.

More aggregated, focusing on summarized figures and overall insights.

Real-world example

The status of a newly placed order or the current balance of an account.

A five-year revenue report or a customer's lifetime purchasing behavior.

Although it plays a complementary role to the Data Warehouse, its ability to focus on current data, improve data quality, and optimize operational efficiency has made the ODS an essential tool in today's fast-paced business environment.

Conclusion

In summary, by integrating data from multiple sources, an ODS ensures consistency and enables fast access to current information. This provides a strong foundation for organizations to make timely and well-informed decisions.

To ensure high performance and flexible scalability for their data infrastructure, businesses can leverage the capabilities of Viettel Database Service (vDBS). vDBS provides a comprehensive database management environment on a Cloud platform, with a wide range of built-in features, high availability, and the ability to meet stringent security requirements.

Learn more about the service at:
https://viettelidc.com.vn/en/viettel-database-service

For consultation and information about Viettel’s services, you can contact Viettel IDC directly through the following channels:

- Hotline: 1800 8088 (toll-free)

- Fanpage: https://www.facebook.com/viettelidc

- Website: https://viettelidc.com.vn

 

Comment ()

Login | Sign Up
to send comment
Your comment will be reviewed before being posted.
Your comment will be reviewed before being posted.
Your comment will be reviewed before being posted.
Read more

Related news

28/09/2026

Viettel IDC: The Only VMware Sovereign Cloud Provider in Southeast Asia

At VMware Explore 2026 in Las Vegas, Broadcom introduced a group of 57 sovereign cloud service providers built on VMware Cloud Foundation. Viettel IDC was the only provider from Southeast Asia included in the list, marking another significant step forward for a Vietnamese enterprise in the regional cloud infrastructure market.

24/09/2026

Kubernetes vs Serverless? Which Is the Right Choice for Enterprise Architecture?

In the Cloud Native era, Kubernetes vs Serverless represents a classic clash between two philosophies: Maximum control or ultimate convenience? If Kubernetes can be considered the solid backbone for complex Microservices systems, Serverless is the speed-driven launchpad that helps optimize costs for enterprises. So, which one is the right fit for your architecture?

24/09/2026

What Is Kubespray? A Production-Ready Kubernetes Deployment Solution for Enterprises

Kubernetes has revolutionized Container orchestration, providing an efficient and flexible solution for application deployment. However, manually setting up and maintaining a Kubernetes Cluster is often highly complex and can easily become overwhelming.

24/09/2026

What Is Minikube? A Beginner’s Guide to Running Kubernetes

Do you want to start learning Kubernetes but are concerned about server rental costs or complicated configuration? Minikube is the perfect answer. So, what is Minikube, and how does this tool turn your laptop into a “pocket-sized” Kubernetes Cluster that you can use for completely free hands-on practice?

24/09/2026

What Is a Helm Chart? The Most Effective Way to Manage Kubernetes Applications

Are you overwhelmed by having to manage dozens of separate YAML configuration files every time you deploy an application to Kubernetes? That’s when you need Helm Chart – a solution often described as the key to escaping configuration hell.

24/09/2026

What Is a Service in Kubernetes? A Complete A-Z Guide to Service Types and Configuration

In the Kubernetes world, Pods have one defining characteristic: they are ephemeral. They are constantly created, terminated, and replaced. Each time this happens, a Pod’s IP address changes. This creates a challenging problem: How can A communicate with B if B’s IP address keeps changing? The answer is Kubernetes Service.

24/09/2026

What Is a Namespace in Kubernetes? A Complete A-Z Guide to Creating and Managing Namespaces

A Kubernetes Cluster is like a huge office building. Without proper zoning, resource conflicts between departments (Dev, Test, Prod) are inevitable. Kubernetes Namespaces are the essential partitions that divide physical infrastructure into multiple Virtual Clusters, ensuring effective isolation and management.

24/09/2026

Kubernetes Cost Optimization: Effective Cloud Cost Reduction Strategies for Businesses

Kubernetes enables businesses to deploy and operate containerized applications at scale with greater flexibility. However, this flexibility also comes with increasingly complex cost management challenges. Kubernetes cost optimization is not simply about cutting resources or shrinking the cluster.

24/09/2026

What Is the Vertical Pod Autoscaler? Effectively Optimizing Pod Resources in Kubernetes

In Kubernetes, manually setting CPU and memory resources for Pods can easily lead to either resource shortages or infrastructure waste. Improper configuration can cause applications to slow down, experience OOMKilled errors, or prevent the cluster from fully utilizing its available capacity. The Vertical Pod Autoscaler provides a smarter approach by automatically recommending and adjusting resources based on actual usage.

24/09/2026

What Is the Kubernetes Scheduler? How Kubernetes Decides Where Pods Run

In Kubernetes, a Pod does not automatically start running immediately after it is created. It first needs to be assigned to a suitable node within the cluster. This task is handled by the Kubernetes Scheduler, whose role is to determine where a Pod should run. The Scheduler helps allocate resources efficiently, maintain system stability, and optimize overall performance.