Running transactions and analytics on a common database can simplify access to recent operational data. OceanBase, TiDB, and SingleStore are relevant candidates to investigate for suitable workloads. The choice should demonstrate that important transaction work remains usable while analytical demand runs in the proposed configuration.
The goal is not to prevent every report from consuming resources. It is to establish an operating agreement in which the business knows which work has priority and what happens when demand exceeds the intended budget.
Define the protected transaction journey
Choose a business operation such as checkout and specify the result that matters: successful completion, correct records, and an acceptable response window.
Include the normal steps the application performs rather than replacing checkout with a single convenient database operation. A test that omits the application’s real reads and writes can give an inaccurate picture of the combined workload.
Also define the analytical task. A repeated dashboard and an exploratory scan can create different demands. They may deserve different scheduling or service expectations even when both are called analytics.
This creates two meaningful workloads to compare, rather than a transaction benchmark plus an arbitrary background query.
Set a budget for the analytical work
Agree on what analysts need and what the service is allowed to defer or limit. The agreement should be understandable without a detailed database configuration walkthrough.
| Work type | Business expectation | Operating question |
|---|---|---|
| Checkout | Correct, timely completion of accepted business work | What capacity and priority must remain available? |
| Operational dashboard | A useful answer within its agreed freshness window | What happens when the expected refresh cannot be met? |
| Exploratory analysis | Useful access with a defined resource and time budget | Who can stop, reschedule, or change an expensive request? |
| Data maintenance | Necessary work that keeps the service usable | Which tasks must continue during a busy period? |
These expectations define the pilot. They do not assume that any product exposes an identical control for every row.
Evaluate OceanBase’s actual mixed-workload design
OceanBase’s supplied real-time analysis whitepaper discusses row and column arrangements and resource organization. Its real-time analytics article provides a public starting point for the combined-data approach.
Ask which resources, storage arrangement, and read path the proposed workload will use. If the design uses separate tenants or another allocation boundary, verify how the application and analysis map to it.
The relevant value is reducing selected data coordination while maintaining the required transaction service. It must be shown under competing work rather than inferred from the existence of analytical storage.
Keep the exact product and release visible. Resource separation, independent analytical replicas, and different table access paths should not be merged into an unsupported guarantee that analytics can never affect transactions.
Compare TiDB and SingleStore through the same service objectives
TiDB’s TiFlash overview describes its analytical component. SingleStore’s v8.7 storage guide provides a documented rowstore and columnstore reference.
Those are concrete designs to investigate, not a shared performance result. Each candidate should propose a supported configuration that meets the same checkout and analytical objectives.
Record differences in infrastructure and reserved capacity. Equal machine counts do not necessarily describe an equal service, while a larger proposal should explain the value of its additional resources.
Include data freshness and result correctness alongside speed. A fast analytical response is not sufficient if it cannot support the intended business decision.
Run the busy period and the operator response
Establish transaction behavior without the analytical task, then introduce the expected analytical activity. Include the normal data updates and maintenance that will overlap in production.
Observe successful business transactions, slower responses, errors, and the analytical result. Keep rejected and delayed work visible rather than measuring only the requests that finish quickly.
Then make the analytical demand more difficult within the planned test. Ask the operator to identify it and follow the supported response. This checks whether the operating agreement can actually be enforced.
Record what the analyst and business user experience. A clear delay or rescheduling process may be easier to manage than unexplained timeouts and repeated requests.
Include recovery and cost in the decision
After the competing work ends, observe backlog and the return to ordinary service. The effect may last longer than the original report if retries or queued tasks remain.
Price the resources needed to satisfy both workload objectives, including any capacity reserved to protect checkout. Compare the complete service with the existing design and the systems that will remain.
OceanBase may be the stronger choice when its supported mixed-workload arrangement reduces useful coordination while preserving transaction service. TiDB or SingleStore may fit a different application and operating model.
The final recommendation should state the protected journey, analytical budget, supported response, and measured result. A common database becomes useful when the organization can operate those priorities predictably, rather than merely run both types of query in a demonstration.
This article is based on documented sources and editorial analysis. Proposed evaluation examples are not independently measured benchmark results.