What is Databricks?
Databricks is a cloud-based platform for data, analytics and AI. It brings data engineering, data warehousing, operational databases, machine learning and AI agents together on one open, governed foundation.
Databricks invented the lakehouse paradigm. Today, its Data + AI Platform spans the full journey: ingesting and transforming data with Lakeflow, serving analytics from the Lakehouse, running transactional apps on Lakebase, and putting AI to work with Genie and Agent Bricks – all governed through Unity Catalog.
The result: one copy of your data, one governance model, and AI that understands your business context.
How can Recordly help you with Databricks?
We are your go-to experts for each aspect of Databricks
Recordly is a Bronze Databricks partner in Finland, and has been since 2022. Our certified Databricks experts specialize in platform infrastructure, data engineering, machine learning and AI agents – and bring the business experience to turn the platform into real value.
What we do
- Platform setup and modernization – Workspaces, Unity Catalog, networking, security and CI/CD, built to last.
- Migrations with Lakebridge – Assessment, code conversion and validation when moving from a legacy data warehouse to Databricks.
- Data engineering with Lakeflow – Reliable ingestion, batch and streaming pipelines, and orchestration using Spark Declarative Pipelines and Lakeflow Jobs.
- Data apps and agents on Lakebase – Operational databases and app backends that live on the same governed platform as your analytics.
- Genie rollouts – Preparing semantics, metrics and permissions so Genie gives business users answers they can trust.
- AI-assisted data teams with Genie Code – Ways of working, guardrails and skills that make your data team faster without losing control.
- Custom AI agents with Agent Bricks – From use case to evaluated, governed agent in production.
- MLOps – Model training, deployment and monitoring with MLflow.
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From data to business value |
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Data, analytics and AI on one platform |
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Reliable and robust data pipelines |
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AI agents that understand your business |
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Why do businesses choose Databricks?
Databricks has become a leading choice for organizations that want one platform for data engineering, analytics, applications and AI. Here is why.
One copy of data, open formats. The lakehouse stores data once in open formats like Delta Lake and Apache Iceberg. Analytics, real-time serving, apps on Lakebase and AI agents all work on the same data – without costly copies or vendor lock-in.
AI that understands your business. Genie and Genie Code use the metadata, metrics and lineage in Unity Catalog as context. That is what makes their answers and code accurate enough for real work, not just demos.
Built-in governance. Unity Catalog applies the same access control, lineage and auditing to tables, models and agents. The Unity AI Gateway adds spend limits and policies for model and agent traffic.
Collaboration across roles. Data engineers, data scientists, analysts and business users work in the same environment – with notebooks, version control and role-based access.
Fits your cloud. Databricks runs on Azure, AWS and Google Cloud, and builds on open source technologies such as Apache Spark, Delta Lake and MLflow.
In short, Databricks takes organizations from raw data to business-ready insights, apps and agents – faster, more collaboratively and at scale.
Proven capability to deliver Databricks platforms from scratch
We design, build and run Databricks platforms from scratch – and modernize existing ones. Our end-to-end delivery includes:
- Environment setup: Scalable Databricks workspaces with Unity Catalog, tailored to your architecture and security requirements.
- CI/CD and automation: Robust, version-controlled deployment pipelines across development, test and production.
- Migrations: Moving from legacy data warehouses to Databricks, accelerated with Lakebridge.
- Business solutions: Data pipelines, analytics, machine learning models, data apps and AI agents that support real business outcomes.
Recordly's Databricks customers
We continuously evolve our frameworks and reusable solutions to deliver more customer value with faster development cycles. We've delivered enterprise-level Databricks solutions across industries including retail, finance, manufacturing and energy.
WithSecure
WithSecure's customers rely on it to safeguard digital environments, and the same high standards apply to its data operations. With growing analytics needs, WithSecure wanted a more scalable, reliable and well-governed data foundation.
Recordly designed and implemented a Databricks-based platform from scratch to support analytics, dashboards, data science and future ML and AI use cases. Knowledge transfer, documentation and best practices were central to the project, enabling WithSecure's own teams to develop and manage the platform independently.
Lumo Analytics
Lumo Analytics wanted to transform the traditionally slow and costly process of analyzing mineral samples with a data-intensive solution delivering near-real-time results directly from the field.
Recordly helped build an IoT and data platform that collects sensor data and turns it into actionable insights. Built on Databricks and Delta Lake, with Azure IoT technologies for connectivity and device management, the solution scales with growing data volumes and processing demands.
UPM Energy
With volatile electricity prices accounting for a significant share of industrial costs, UPM Energy wanted to optimize energy consumption and costs through real-time data processing.
Recordly helped build a Databricks-based platform delivering Optimization-as-a-Service to energy-intensive industries across Europe. The platform supports energy forecasting and consumption optimization while enabling new capabilities in machine learning and mathematical optimization. A well-managed Databricks environment also provides analysts with a flexible environment for further development.
Databricks from a Recordly standpoint
Blog
MLOps on Databricks
Jussi Virtanen, Databricks Tech Lead, explains how MLOps works in Databricks how to get started and the most important things to consider.
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Video
Databricks 102 with Jussi Virtanen
Jussi Virtanen, Databricks Tech Lead and ML Engineer at Recordly explains more about Databricks, its machine learning capabilities, and many other features.
Case study
Building a home for analytics, data science and AI – all under one roof
WithSecure built a scalable Databricks platform for analytics, data science, ML and AI – all under one roof.
Video
Databricks 101 with Jussi Virtanen
Jussi Virtanen, Databricks Tech Lead and ML Engineer at Recordly explains what Databricks is, who it’s for, how to get started, and how to access the free edition.
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Case study
Improving insights and strengthening data governance
Blog
Databricks: All in one?
Custom binary format, ingestion, transforming thousands of column datasets, data quality testing, pipeline monitoring, data sharing... Is there anything you cannot do with Databricks?
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