
Databricks
Databricks
Databricks
Pingahla is an experienced Databricks consulting partner. We ensure you get the most out of your Databricks investment by combining our expertise in data architecture and the entire data lifecycle with Databrick’s innovative technology.

Our team of experts specializes in Databricks Spark Distributed Computing and can help you implement unique AI-ML-empowered data solutions for your business.
Databricks Professional Services

Continuous monitoring your jobs to ensureseamless and smooth business-as-usual (BAU) operations.
Monitoring

Set up and manage Databricks Unified Data Platform to simplify big data and AI where data engineers and data scientists can collaborate on one platform.
Setup and Manage

Access to ongoing support and change request management ensures your business stays ahead of the curve.
Maintenance

Our engineers ensure that data is integrated, cleansed, and quickly available to data science teams so that they can focus on getting insights from it.
Implementation

Google Cloud Expertise
Imagine you would like to do an analysis for your current job or business. For this analysis you would like to use graphs, tables, maps and add a layer of interactivity so the users can obtain different insights from your visualizations and obtain valuable information from the business that will help you take informed decisions in the future. Now, the question arises: which business intelligence (BI) visualization tool should I use? Tableau or Dash Plotly? This article will try to attempt to...
Tableau vs. Dash Plotly
Apr 1, 2026
Luis Alejandro Bernal
By

The Pingahla Informatica MDM team has been on an incredible journey helping customers implement and scale their Informatica MDM environments. Over the past few months, we’ve been working on something we’re really excited about - an accelerator designed to make duplicate detection in Informatica Cloud MDM more flexible and easier to integrate into modern applications. Today, we’re introducing Pingahla’s Informatica MDM Duplicate Shield . This new accelerator acts as a microservice for...
Introducing Pingahla’s Informatica MDM Duplicate Shield
Mar 16, 2026
Shubham Padmawar
By

The India AI Impact Summit 2026 made one thing crystal clear. AI's explosive potential in 2026 depends less on flashy algorithms and more on data maturity. Poor data quality, silos, governance gaps, or unreliable pipelines can derail even the most advanced generative AI, predictive models, or agentic systems. As organizations race to adopt AI for economic growth, operational resilience, and innovation, the real differentiator is a rock-solid data foundation. That is exactly where Pingahla...
What Pingahla Brings to the AI Table: Powering India's AI Ambitions with Trusted Data Foundations
Feb 27, 2026
Anjana Singh
By

If you weren’t able to join our recent Pingahla + Qlik session on Tariff & Supply Chain Risk Optimization webinar , no worries. You can catch the full recording here. Here’s a quick walkthrough of what we covered so you can decide if it’s worth sharing with your finance, supply chain, and procurement teams (spoiler: it is) . Why We Built a Tariff & FX Optimization Solution I kicked things off by framing the problem many manufacturers, CPG brands, and global supply chain organizations are...
How Qlik + Pingahla Are Transforming Tariff, FX, and Supply Chain Risk Management — Webinar Replay Inside
Dec 3, 2025
chrisevans75
By

Introduction Applications created and built to use cloud computing platforms are known as “cloud-native” applications. Cloud-native testing is a specialized approach to software testing that focuses on applications and services designed for cloud-native architectures. It includes testing of microservices, orchestration tools, and other cloud-specific components. Cloud-native testing includes various types of testing, such as unit, integration, security, performance, and scalability. It plays...
Cloud-Native Testing: An overview
Jun 7, 2024
Ritesh Damre
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