Is Databricks Worth It? When PostgreSQL Is Enough

Is Databricks worth it? For many small and medium businesses, no: if your data lives in one or two systems and fits comfortably on one database server, PostgreSQL plus a reporting tool such as Power BI is usually enough. Databricks starts to pay off when you combine many data sources, need heavy analytics or machine learning, or have many people who need governed access to the same data.

We work with both, so this guide gives you a plain checklist to decide, and tells you when to stay put.

Short answer

• PostgreSQL is a database for running applications. Databricks is a platform for analysing lots of data from many places.
• Stay on PostgreSQL if your reports come from one or two systems and run in a reasonable time.
• Consider Databricks if you have many sources, machine learning plans, many analysts or strict governance needs.
• A reporting copy of your PostgreSQL database is a sensible step in between.
• Databricks bills by usage, so check the cost before you commit.

What is each one for?

PostgreSQL is a database that is "free and open source" and has been ACID-compliant since 2001 (PostgreSQL (opens in a new window)). That means it keeps your records accurate when many people change them at once. It is built for the day-to-day work of an application: recording an order, updating stock, saving a customer. Amazon calls this transaction processing, which uses "real-time and transactional data from a single source" (AWS (opens in a new window)).

Databricks is a "unified, open analytics platform" used for data engineering, analytics and BI, machine learning and AI (Microsoft Learn (opens in a new window)). This is analytical processing: "historical and aggregated data from multiple sources" used to spot trends (AWS (opens in a new window)).

PostgreSQL can also run reports. The real question is whether your reporting has grown past what one database and a reporting tool can handle comfortably.

Signs PostgreSQL (plus a reporting tool) is enough

• Your reporting data comes from one or two systems.
• Reports finish while you wait, or overnight without trouble.
• One or two people build and maintain the reports.
• You don't plan machine learning or large-scale AI on this data.
• Power BI can read it directly. Power BI Desktop supports the PostgreSQL connector in Import and DirectQuery modes (Microsoft Learn (opens in a new window)).

A rule of thumb, not a published threshold: if all your reporting data could sit on one server you already run, and your reports are quick enough, you probably don't need Databricks yet.

Signs you have outgrown it

• Many sources. You need to join your ERP system, CRM, online shop, spreadsheets and data pulled from APIs, and the joins are becoming slow or fragile.
• Reports slow down live systems. Heavy queries on the database that runs your application are hurting staff or customers.
• Machine learning and AI. Databricks lists machine learning and AI among its core uses, and you plan to use them on your own data.
• Many analysts. Several people or teams need the same data with different permissions. Databricks' Unity Catalog manages access control, keeps an audit record of data access and tracks lineage (Databricks docs (opens in a new window)).
• Data that isn't tables. You hold large files, logs or documents alongside your tables.

If you recognise two or three of these, it is worth a proper look.

A step in between: a reporting copy of PostgreSQL

Before jumping to a new platform, consider a read-only copy of your database. PostgreSQL's hot standby lets a standby server accept read-only queries (PostgreSQL docs (opens in a new window)). Heavy reports can then run on the copy and leave the live database alone.

There is a catch. The copy is replicated with a delay, so it is "eventually consistent" and may differ slightly from the live database. It also holds the data from that one database only, so it does not solve the many-sources problem.

Cost and skills

PostgreSQL has no licence fee, but you still pay for hosting, backups and someone to look after it.

Databricks bills by usage, in units called DBUs, plus your cloud's charges. A small daily pipeline plus a small SQL warehouse came to about USD 184 a month before storage and network charges (list prices, checked 31 October 2026). Costs rise quickly if compute runs unattended.

Skills matter as much as cost. Databricks work is done in SQL, Python or Scala, in pipelines and notebooks. If nobody on your team is comfortable with that, factor in training or outside help. Databricks Free Edition is for non-commercial use only, so it suits learning rather than testing a business workload.

Which should you choose?

How Mammoth Digital can help

Our team works with Databricks, SQL Server and PostgreSQL, and includes a Databricks Certified Data Engineer Professional. We'll look at your data and reports and tell you if PostgreSQL is enough. If it isn't, we can help you plan, build and cost a Databricks setup.

See our Databricks consulting and Databases & Data pages, or get in touch. We'll reply within 2 working days.

Databricks is a trademark of Databricks, Inc. Microsoft, Azure and Power BI are trademarks of Microsoft Corporation. Mammoth Digital is independent and not a partner of these companies.

Facts checked on 31 October 2026. Sources: PostgreSQL (opens in a new window), AWS on OLTP and OLAP (opens in a new window), Microsoft Learn on Azure Databricks (opens in a new window), Databricks Unity Catalog (opens in a new window), Azure Databricks pricing (opens in a new window).