TimescaleDB consultants
We can help you automate your business with TimescaleDB and hundreds of other systems to improve efficiency and productivity. Get in touch if you’d like to discuss implementing TimescaleDB.
About TimescaleDB
TimescaleDB is a time-series database built on PostgreSQL that handles large volumes of timestamped data — sensor readings, application metrics, financial ticks, IoT telemetry, and event logs. It gives teams the familiarity of standard SQL with the performance characteristics needed for time-series workloads, including automatic partitioning, compression, and continuous aggregates that keep queries fast even as data volumes grow.
What makes TimescaleDB practical for business automation is that it fits into existing PostgreSQL toolchains. If your team already knows SQL, they can work with TimescaleDB without learning a new query language or retraining. It also means any tool or workflow engine that connects to PostgreSQL can read from and write to TimescaleDB — making it straightforward to integrate into data pipelines.
Osher builds automated data processing pipelines that use TimescaleDB as the backbone for time-series analytics. We connect data sources like IoT devices, application logs, and business events to TimescaleDB, then build dashboards and alerting workflows on top of the stored data so your team gets actionable insights without manual querying.
If your time-series data is sitting in spreadsheets or generic databases that were not designed for the job, reach out to discuss a TimescaleDB implementation.
TimescaleDB FAQs
Frequently Asked Questions
Common questions about how TimescaleDB consultants can help with integration and implementation
What does TimescaleDB do?
Can TimescaleDB integrate with workflow automation tools?
What types of data work well in TimescaleDB?
How does TimescaleDB compare to plain PostgreSQL for time-series data?
Is TimescaleDB difficult to deploy?
How does Osher help with TimescaleDB?
How it works
We work hand-in-hand with you to implement TimescaleDB
As TimescaleDB 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 TimescaleDB with integrate and automate 800+ tools.
Step 1
Process Audit
We review your current time-series data sources and how they are stored, queried, and used. This includes identifying data volumes, query patterns, retention requirements, and any performance issues with your existing database setup.
Step 2
Identify Automation Opportunities
Based on the audit, we identify where TimescaleDB improves your data operations — whether that is faster dashboards, automated alerting on time-series anomalies, historical data compression, or real-time aggregation for reporting.
Step 3
Design Workflows
We design the data architecture, including TimescaleDB schema, hypertable configuration, compression policies, continuous aggregates, and the ingestion pipelines that feed data into the database from your sources.
Step 4
Implementation
Our team deploys TimescaleDB, configures hypertables and retention policies, builds data ingestion pipelines using n8n or custom connectors, and sets up Grafana or Metabase dashboards for your team to query the data.
Step 5
Quality Assurance Review
We validate data ingestion accuracy, query performance under realistic loads, and dashboard correctness. Compression ratios and continuous aggregate refresh rates are tested to confirm they meet your requirements.
Step 6
Support and Maintenance
After deployment, we monitor database performance, storage usage, and pipeline health. As data volumes grow or new data sources are added, we adjust partitioning, compression, and retention policies to keep everything running efficiently.
Transform your business with TimescaleDB
Unlock hidden efficiencies, reduce errors, and position your business for scalable growth. Contact us to arrange a no-obligation TimescaleDB consultation.