Databricks bring people, data and technology together.


Lets get to know Databricks

The only open unified platform for data management, business analytics and machine learning.

Users achieve faster time-to-value with Databricks by creating analytic workflows that go from interactive exploration and ETL through to production data products.

AI applications are simpler to explore and transition to production as the one platform is used by data scientists and data engineers. Users can quickly prepare clean data at massive scale, and continuously train and deploy state-of-the-art ML models for best-in-class AI applications.

Databricks makes it easier for its users to focus on their data by providing afully managed, scalable, and secure cloud infrastructure that reduces operational complexity and total cost of ownership.

Why HiFX ?

HiFX is a Certified Consulting & System Integrator Partner of Databricks which allows us to leverage their cloud-based platform’s Unified Analytics expertise, solution architects and sales resources to better help our customers.

With Databricks, we achieve 100X performance gains, 30% rapid deployment & 20% more stabilization effectivity

  • Working with dataBricks since 2017
  • Databricks trained consultants & developers.

With Databricks we make Big Data simple

"We have deployed mission critical and highly scalable data pipeline & analytics solution using Databricks"

Mohan Thomas

Co-Founder and President of Technology

Data Lakehouse

Now combine the capabilities of Data Lakes and Data Warehouse to enable BI and ML on all data.

Data lakehouses are enabled by a new system design: implementing similar data structures and data management features to those in a data warehouse, directly on the kind of low-cost storage used for data lakes. Merging them together into a single system means that data teams can move faster as they are able to use data without needing to access multiple systems. Data lakehouses also ensure that teams have the most complete and up to date data available for data science, machine learning, and business analytics projects.

A Lakehouse has the following key features:

  • Transaction support
  • Schema enforcement and governance
  • Support for BI
  • Storage is decoupled from compute
  • Openness
  • Support for diverse data types ranging from unstructured to structured data
  • Support for diverse workloads
  • End-to-end streaming

Delta Lake

Delta Lake brings reliability, performance, and lifecycle management to data lakes.

No more malformed data ingestion, difficulty deleting data for compliance, or issues modifying data for change data capture. Accelerate the velocity that high quality data can get into your data lake, and the rate that teams can leverage that data, with a secure and scalable cloud service.

Benefits :


Data is stored in the open Apache Parquet format, allowing data to be read by any compatible reader. APIs are open and compatible with Apache Spark™.


Data lakes often have data quality issues, due to a lack of control over ingested data. Delta Lake adds a storage layer to data lakes to manage data quality, ensuring data lakes contain only high quality data for consumers.


Handle changing records and evolving schemas as business requirements change. And go beyond Lambda architecture with truly unified streaming and batch using the same engine, APIs, and code.

Who uses Databricks ?

Data Engineers

Data Engineers

Develop, test, execute and monitor batch ETL jobs

Implement data streaming ingestion or analytics job

Collaborate on code,notebook and jobs

Data Analysts

Data Analysts

Monitor machine learning process

Develop production machine learning pipelines

Explore machine learning models

Data Scientists

Data Scientists

Perform data analysis using SQL at scale

Explore datasets visually and interactively in a notebook environment

Create and Find New Opportunities

The Real Time Streaming and analyzing of Big Data can help companies to uncover hidden patterns, correlations and other insights. Companies can get answers from it almost immediately being able to upsell, and cross-sell clients based on what the information presents.

The existence of Real Time Streaming data technology brings the type of predictability that cuts costs, solves problems and grows sales. It has led to the invention of new business models, product innovations, and revenue streams.

AWS Architecture
  • Unified and simplified architecture across batch and streaming to serve all use cases
  • Robust data pipelines that ensure data reliability with ACID transaction and data quality guarantees
  • Reduced compute times and costs with a scalable cloud runtime powered by highly optimized Spark clusters
  • Elastic cloud resources intelligently auto- scale up with workloads and scale down for cost savings
  • Modern data Analytics best practices for improved productivity, system stability, .and data reliability

Databricks Workspace

Databricks Workspace
Databricks Workspace

Databricks Runtime Components

Databricks Runtime Components

Databricks Cloud Service

Databricks Cloud Service
Databricks Cloud Service

Do you have a business problem that we should look at ?

Let's Schedule A Meeting