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Technology Landscape
Technology

Enterprise Data Technology Expertise.

DataGridz works across modern and legacy data stacks to help organisations migrate, integrate, secure and optimise their technology landscape.

Legacy
Cloud
AI Ready
Technology Landscape stabilise legacy → migrate to cloud → build modern platforms
BI & Reporting
Big Data & Data Lake
Cloud & DataOps
Secure Operations
Technology Categories

Grouped by business transformation surface, not a random logo wall.

A clean view of the platform categories DataGridz works across when stabilising, migrating, integrating, securing and optimising enterprise data estates.

BI & Reporting

Tableau, Power BI and Looker foundations for trusted reporting.

Big Data & Data Lake

Hadoop, Kafka, Cloudera and lake architectures for scale.

Data Warehousing

Snowflake, Databricks, Teradata, Greenplum, SQL Server and Oracle.

Cloud & DataOps

AWS, Azure, GCP, Airflow and modern operational data layers.

Integration / ETL / DQ

Informatica, Azure Data Factory and data quality workflows.

Advanced Analytics

SAS, SPSS, analytics models and intelligence-ready data use cases.

DevOps

Jenkins, Docker, Terraform and secure delivery foundations.

Infrastructure Management

SolarWinds, Nagios and monitoring-led infrastructure operations.

Swipe categories
Tool Ecosystem

Depth across the tools enterprises already run.

DataGridz meets clients where they are, whether the estate is legacy-heavy, cloud-first or already moving toward AI-ready operations.

BI & Reporting
TableauPower BILooker
Big Data
HadoopKafkaCloudera
Warehousing
SnowflakeDatabricksTeradataGreenplumSQL ServerOracle
Cloud & DataOps
AWSAzureGCPAirflowAzure Data Factory
Analytics
SASSPSSAdvanced Analytics
DevOps & Monitoring
JenkinsDockerTerraformSolarWindsNagios
How DataGridz Fits

Technology depth, connected to business outcomes.

The page stays strategic: DataGridz is not just listing tools, it is showing how technology decisions support reliability, migration, governance, performance and measurable transformation.

Stabilise legacy platforms

Improve reliability, reporting trust and supportability inside existing enterprise data estates.

Migrate to cloud

Move infrastructure, data and applications with controlled execution and lower disruption risk.

Build new platforms

Create modern, governed and scalable data foundations for analytics, AI and operations.

Swipe fit
Technology Proof

Technology depth backed by enterprise transformation cases.