Your partner for enterprise Data & AI
Official delivery partner for Databricks. From manufacturing big data to generative AI, we guide every stage of your data journey.
What we deliver
From building data platforms to running AI models in production, end-to-end.
Argus RAG Studio
An open-source, self-hosted platform that covers the full RAG lifecycle — Build, Retrieve & Generate, Evaluate, and Operate & Deploy — in one place. Not a "works-once RAG demo": it ships with an evaluation harness that measures quality in numbers, config sweeps that auto-explore optimal settings, a feedback loop, and agent-based remote deployment, so it runs on-premises and in air-gapped (closed) networks.
Argus Catalog
An integrated AI·Data·API metadata platform that governs data, models, APIs, and AI agents in a single catalog. With strong support for air-gapped and on-premises environments, it secures enterprise-wide data sovereignty without ever sending data outside.
System Operations
We own the end-to-end operations of big data and AI platforms — covering infrastructure, pipelines, and MLOps with a systematic, reliable approach.
Consulting
From data portals and catalogs to big data and AI platform architecture — we help you define your enterprise data and AI strategy and design the systems to realize it.
Global partnerships
As an official partner of Databricks, we deliver with proven rigor.
Why Data Dynamics
Proven expertise
Deep, field-hardened experience in data engineering and MLOps
Reliable delivery
Methodical execution as an official Databricks partner
Manufacturing DNA
Track record of operating and evolving manufacturing big data platforms
Open source support
In-depth support for NiFi, Spark, Kafka and other core projects
Latest Updates
The newest from our company news and blog, at a glance.
Open-Source React Component for Trino SQL: trino-monaco-sql-editor
Data Dynamics has released a React editor component on GitHub under the MIT License that offers Trino SQL auto-completion and help pop-ups for functions and keywords, and runs real queries through Node, Python or Java gateways.
Open-Source React Component for Oracle SQL and PL/SQL: oracle-monaco-sql-editor
Data Dynamics has released a React editor component on GitHub under the MIT License that offers Oracle SQL and PL/SQL auto-completion and help pop-ups for functions and reserved words, and runs real queries through Node, Python or Java gateways.
Databricks TIMESTAMP Type — Time Zones, Precision and TIMESTAMP_NTZ
An organized digest of the Databricks SQL reference for the TIMESTAMP type: absolute-instant semantics and the session time zone, literal syntax, TIMESTAMP(p) nanosecond precision with its Delta limits, and how it compares with TIMESTAMP_NTZ.
Lakehouse Federation Performance — Parallel Reads for JDBC Connectors and More
An organized digest of the Databricks Lakehouse Federation performance recommendations: parallel reads with numPartitions, partitionColumn, lowerBound and upperBound, fetchSize batching, Snowflake partition size, predicate pushdown, and join pushdown.
Sizing Lakebase Search — Lessons from a Real App and 4 Million Passages
An organized digest of the Databricks benchmark of Lakebase Search on the internal Slide Hub app and the MIRACL English corpus: where the bottleneck sits under load, candidate pool trade-offs, the cache ratio as the sizing axis, recall versus probes, and what it costs.
Kickstart your data-driven transformation
We're always open to consultations and PoC inquiries.
Get in touch