QuestDB integration & automation experts
We can help you automate your business with QuestDB and hundreds of other systems to improve efficiency and productivity.
What you can automate with QuestDB
QuestDB is a high-performance time-series database built for speed. It uses a column-oriented storage engine and supports SQL queries, making it accessible to anyone who already knows SQL while delivering query performance that outpaces traditional relational databases on time-series workloads by orders of magnitude. It is designed for scenarios where millions of rows need to be ingested per second and queried with sub-second response times. Businesses use QuestDB for IoT data ingestion, real-time application monitoring, financial market data analysis, and operational analytics. Its PostgreSQL wire protocol compatibility means it works with existing BI tools like Grafana, Metabase, and Tableau without custom connectors. Data can be ingested via the InfluxDB Line Protocol, CSV import, or REST API, giving teams flexibility in how they feed data in. Osher builds automated data processing pipelines on top of QuestDB for clients who need fast analytics on high-volume time-series data. We handle the deployment, schema design, ingestion pipeline setup, and dashboard creation — connecting QuestDB to your data sources and visualisation tools so insights are available in real time. If your current database is struggling with time-series query performance or you are looking for a purpose-built solution for high-frequency data, reach out to discuss QuestDB.
QuestDB FAQs
Frequently Asked Questions
Common questions about how QuestDB consultants can help with integration and implementation
How it works
We work hand-in-hand with you to implement QuestDB
As QuestDB consultants we work with you hand in hand build more efficient and effective operations. Here’s how we will work with you to automate your business and integrate QuestDB with integrate and automate 800+ tools.
Step 1
Process Audit
We assess your current time-series data landscape — data sources, volumes, query patterns, and performance issues. This includes understanding how data is currently collected, stored, and analysed, and where bottlenecks exist.
Step 2
Identify Automation Opportunities
Based on the audit, we identify where QuestDB delivers the most value. This might include replacing slow queries on legacy databases, enabling real-time dashboards that were previously impractical, or building automated alerting on incoming data streams.
Step 3
Design Workflows
We design the QuestDB architecture — table schemas, partitioning strategy, retention policies, and ingestion pipelines. We also map out how QuestDB connects to your BI tools and alerting systems, defining the full data flow from source to insight.
Step 4
Implementation
Our team deploys QuestDB, configures tables with appropriate partitioning and retention settings, builds ingestion pipelines from your data sources, and sets up Grafana dashboards and n8n alerting workflows for real-time monitoring.
Step 5
Quality Assurance Review
We load-test QuestDB with realistic data volumes, verify query performance meets your requirements, and validate data accuracy across the full pipeline. Dashboard visualisations and alerting thresholds are tested with real scenarios.
Step 6
Support and Maintenance
After deployment, we monitor QuestDB performance, storage usage, and pipeline throughput. As your data volumes grow or new data sources come online, we adjust schemas, partitioning, and retention policies to maintain performance.
Get in touch
Ready to automate QuestDB?
Tell us what you want QuestDB to talk to and we’ll map out the build, the cost and the payback.
Transform your business with QuestDB
Get in touch for a free consultation to see how we can automate your operations with QuestDB.
Australian-hostedPrivacy Act compliantNDAs standard