Add office photos
Employer?
Claim Account for FREE
Databricks
2.7
based on 19 Reviews
Company Overview
Company Locations
Working at Databricks
Company Summary
Databricks develops advanced data processing solutions and is recognized for creating the Apache Spark framework, facilitating distributed computing.
Overall Rating
2.7/5
based on 19 reviews
27% below
industry average
Critically rated for
Job security, Company culture, Work-life balance
Work Policy
Monday to Friday
100% employees reported
Flexible timing
64% employees reported
No travel
82% employees reported
Night shift
50% employees reported
View detailed work policy
Top Employees Benefits
International/On-site exposure
1 employee reported
Professional degree assistance
1 employee reported
Job/Soft skill training
1 employee reported
Child care facility
1 employee reported
View all benefits
About Databricks
Founded in2013 (12 yrs old)
India Employee Count--
Global Employee Count1k-5k
HeadquartersSan Francisco,California, United States
Office Locations
--
Websitedatabricks.com
Primary Industry
Other Industries
Are you managing Databricks's employer brand? To edit company information,
claim this page for free
Databricks is a company founded by the original creators of Apache Spark. Databricks grew out of the AMPLab project at University of California, Berkeley that was involved in making Apache Spark, an open-source distributed computing framework built atop Scala.
Managing your company's employer brand?
Claim this Company Page for FREE
Databricks Ratings
based on 19 reviews
Overall Rating
2.7/5
How AmbitionBox ratings work?
5
4
4
2
3
5
2
2
1
6
Category Ratings
3.7
Salary
3.0
Skill development
2.6
Promotions
2.5
Work satisfaction
2.4
Work-life balance
2.3
Company culture
2.2
Job security
Databricks is rated 2.7 out of 5 stars on AmbitionBox, based on 19 company reviews.This rating reflects a below average employee experience, indicating poor satisfaction with the company’s work culture, benefits, and career growth opportunities. AmbitionBox gathers authentic employee reviews and ratings, making it a trusted platform for job seekers and employees in India.
Read more
Databricks Reviews
Top mentions in Databricks Reviews
Compare Databricks with Similar Companies
Change Company | Change Company | Change Company | ||
|---|---|---|---|---|
Overall Rating | 2.7/5 based on 19 reviews | 3.7/5 based on 91.4k reviews | 3.7/5 based on 54k reviews | 3.8/5 based on 57.6k reviews |
Highly Rated for | No highly rated category | Job security Work-life balance | Job security | Job security Company culture |
Critically Rated for | Job security Company culture Work-life balance | Promotions Salary Work satisfaction | Promotions Salary | Promotions |
Primary Work Policy | - | Work from office 81% employees reported | Hybrid 62% employees reported | Hybrid 74% employees reported |
Rating by Women Employees | 3.8 Good rated by 6 women | 3.7 Good rated by 26.5k women | 3.8 Good rated by 15.5k women | 3.9 Good rated by 21.7k women |
Rating by Men Employees | 2.2 Poor rated by 12 men | 3.6 Good rated by 59.7k men | 3.7 Good rated by 36k men | 3.8 Good rated by 33.4k men |
Job security | 2.2 Poor | 4.5 Good | 3.8 Good | 3.8 Good |
View more
Databricks Salaries
Databricks salaries have received with an average score of 3.7 out of 5 by 19 employees.
Technical Solutions Engineer
(24 salaries)
Unlock
₹12 L/yr - ₹33 L/yr
Data Engineer
(15 salaries)
Unlock
₹12 L/yr - ₹26 L/yr
Senior Consultant
(11 salaries)
Unlock
₹30 L/yr - ₹34 L/yr
Solution Architect
(9 salaries)
Unlock
₹32 L/yr - ₹54.5 L/yr
Senior Data Engineer
(7 salaries)
Unlock
₹25 L/yr - ₹35 L/yr
Senior Technical Solutions Engineer
(7 salaries)
Unlock
₹27.3 L/yr - ₹42 L/yr
Associate Technical Solutions Engineer
(7 salaries)
Unlock
₹12 L/yr - ₹18 L/yr
Data Scientist
(5 salaries)
Unlock
₹7 L/yr - ₹24 L/yr
Senior Solution Architect
(5 salaries)
Unlock
₹48 L/yr - ₹85 L/yr
SSE
(5 salaries)
Unlock
₹37.6 L/yr - ₹40 L/yr
Databricks Jobs
Popular Designations Databricks Hires for
Popular Skills Databricks Hires for
Current Openings
Databricks News
View all
Comparing DuckDB, Snowflake, and Databricks
- The exponential growth of data has led to the rise of data platforms like DuckDB, Snowflake, and Databricks, reshaping data processing.
- DuckDB is a lightweight, in-process analytical database focused on SQL queries for quick analyses of local datasets.
- Snowflake revolutionizes data warehousing with cloud-native architecture, offering comprehensive data storage and processing.
- Databricks provides a unified platform for big data processing and machine learning, building on Apache Spark's power.
- DuckDB operates within the host application, leveraging self-hosted execution, columnar storage, and vectorized query execution.
- Snowflake's architecture includes multi-cluster shared resources, cloud storage with proprietary layer, and virtual warehouses.
- Databricks combines Apache Spark with proprietary technologies for data engineering, analytics, and machine learning.
- DuckDB is ideal for quick data analyses, embedded analytics, and local data processing scenarios.
- Snowflake excels in centralized data repository, BI reporting, data sharing, AI/ML, and large-scale enterprise data pipelines.
- Databricks caters to advanced analytics, machine learning, real-time data processing, and large-scale ETL tasks.
Dzone | 19 Mar, 2025
Confluent Unveils General Availability of Tableflow to Power GenAI Apps
- Data streaming company Confluent has announced the general availability (GA) of Tableflow, a solution designed to bridge operational and analytical data for real-time AI and next-generation applications.
- Tableflow allows data streaming in Confluent Cloud to be accessible in popular open table formats, enabling advanced analytics and AI-driven decision-making.
- Tableflow introduces Apache Iceberg support, enabling representation of Apache Kafka topics as Iceberg tables.
- Confluent expands partnership with Databricks to provide a consistent real-time data view across operational and analytical applications through the early access program for Delta Lake.
Analyticsindiamag | 19 Mar, 2025
Nvidia gets industrial software firms to integrate Omniverse to accelerate physical AI
- Nvidia partners with industrial software and service providers to integrate Omniverse and accelerate physical AI in industrial digitalization.
- Ansys, Databricks, Dematic, Omron, SAP, Schneider Electric, Siemens, and more are among those integrating Nvidia Omniverse.
- Nvidia announces new Omniverse Blueprints and models for robot-ready facilities and synthetic data generation for physical AI development.
- Mega and Nvidia AI Blueprint are available for testing multi-robot fleets, video search, and summarization in industrial settings.
- Manufacturing leaders like Schaeffler, Accenture, Hyundai, Mercedes-Benz, Pegatron, and Foxconn are adopting Omniverse for optimizing operations with physical AI.
- Companies like KION Group, Dematic, Idealworks, and SAP are integrating Mega for AI-powered automation in warehouses and supply chain solutions.
- A new Omniverse Blueprint for AI factory digital twins aids in designing and simulating AI factory layouts for efficiency.
- Nvidia Isaac GR00T Blueprint enables quick synthetic data generation for humanoid developers, fast-tracking robot development.
- Massive amounts of digital and physical world data are integrated using Omniverse to unify physical-world data and applications.
- General Motors, Unilever, and other companies adopt Omniverse for enhancing factories, training platforms, and streamlining marketing content creation.
VentureBeat | 19 Mar, 2025
TiDB Cloud Redefines Data Management for India’s Digital Future
- TiDB Cloud is a cloud-native distributed SQL database designed to help Indian enterprises scale, analyze data in real time, and reduce operational complexity.
- It offers two variants: TiDB Cloud Dedicated for organizations with predictable workloads, and TiDB Cloud Serverless for startups and businesses with dynamic workloads.
- TiDB is working on a next-generation database architecture to introduce groundbreaking features like dynamic scalability and 100% control of data deployment.
- TiDB Cloud dynamically adapts to workload spikes, ensuring uninterrupted performance, automated failover, and high availability, making it ideal for fintech and e-commerce.
- ACID compliance, strong consistency, and advanced security features make TiDB Cloud a trusted choice for regulated sectors, maintaining data integrity and ensuring data protection.
- TiDB aims to accelerate growth in India by expanding the team, collaborating with cloud technology leaders, and supporting the developer community.
- Large Indian companies like Flipkart and Delhivery have successfully implemented TiDB for mission-critical applications, achieving remarkable scalability and efficiency.
- Globally, companies like Databricks and Pinterest have benefited from TiDB's performance gains, cost reductions, and enhanced latency performance.
- TiDB is hosting its TiDB User Day India in Bengaluru to bring together technology leaders, database professionals, developers, and enthusiasts to explore distributed databases.
- The event aims to showcase real-world use cases, discuss the latest trends, and offer insights into TiDB's architecture and best practices for distributed databases.
- Attendees can connect with peers, gain industry insights, and explore innovative solutions at TiDB User Day India on 26th March 2025 at JW Marriott Hotel, Bengaluru.
Analyticsindiamag | 18 Mar, 2025
When Growth and Structure Collide: My Journey as Databricks Global Head of Cybersecurity
- The author reflects on their journey as the Databricks Global Head of Cybersecurity, highlighting the challenges and achievements.
- Despite warnings, the author embraced the challenge with a lean team, focusing on results and innovation.
- The team's success in creating momentum and achieving key performance indicators is noted.
- The author questions the structural challenges within successful companies like Databricks.
- The positioning of cybersecurity within the organization and the lack of resources are addressed as potential issues.
- A mismatch in the business model between cybersecurity and the existing structure is highlighted.
- The author acknowledges the fast-paced and collaborative environment at Databricks, despite challenges.
- The importance of a 360° view, two-way door decision making, and empowering team members is emphasized.
- The author expresses gratitude to all who contributed to the journey and hints at future challenges.
- The article concludes with reflections on innovation, organizational alignment, and the continuing cybersecurity journey at Databricks.
Medium | 18 Mar, 2025
Future-Proof Your Company’s AI Strategy: How a Strong Data Foundation Can Set You Up for Sustainable Innovation
- Business leaders are focusing on sustainable innovation by establishing a strong data foundation for future technologies.
- Creating a robust data layer is crucial for future-proofing AI investments and ensuring sustainable growth.
- Aligning data and AI programs leads to improved efficiency and better use of AI capabilities.
- Companies linking data to AI development experience outsized growth and impactful financial results.
- To strengthen a data foundation, companies need to consider specific business outcomes and optimize data for efficiency.
- Best practices include ensuring data quality and governance, enhancing data security, privacy, and compliance, exploring strategic partnerships, and fostering a data-driven culture.
- Companies like SAP and Black Kite utilize AI for data quality, governance, and risk management in their operations.
- Strategic partnerships with companies like Databricks and Snowflake can help structure data for AI success.
- Amazon is a prime example of a company fostering a data-driven culture and leveraging AI extensively for business decisions.
- Business leaders foresee AI transforming businesses in the next two years, emphasizing the importance of data quality for progress.
Unite | 18 Mar, 2025
Optus stands up a unified data platform
- Optus has established a unified data platform on Azure with a ‘lakehouse’ environment managed by Databricks.
- The platform, called the unified data platform (UDP), consolidates data from various repositories.
- Not all data is centralized in UDP, with some remaining in source systems and brought in as needed.
- A consortium of Optus, Microsoft, Databricks, and Tech Mahindra worked on building the UDP.
- The UDP deployment happened in two phases, involving migration away from an old data warehouse and consolidating data marts.
- Optus' IT strategy priorities are to strengthen technology foundations, outcompete in the market, and prepare for the future.
- The UDP aligns with these priorities by enhancing data control, rebuilding trust, and enabling better decision-making.
- Optus aims to offer personalized experiences, faster issue resolution, and tailored service recommendations using UDP.
- The partnership approach with Microsoft, Tech Mahindra, and Databricks has been collaborative and focused on achieving outcomes.
- Leadership engagement and resource scalability were crucial in the successful implementation of the UDP transformation.
Itnews | 17 Mar, 2025
Unlocking Data Governance at Scale with Databricks Unity Catalog
- Databricks Unity Catalog is a governance solution for managing data assets across the Databricks Lakehouse Platform.
- Unity Catalog offers centralized governance for data, analytics, and AI with features like metadata management and access control.
- Key features include centralized metadata layer, fine-grained access control, automated data lineage, multi-cloud governance, and auditing.
- Data governance is crucial in the lakehouse era to prevent inefficiencies and ensure security and compliance.
- Unity Catalog helps address challenges by providing a single source of truth for governance.
- Setting up Unity Catalog involves enabling it, implementing access control, and managing data lineage.
- Real-world use cases include financial services for regulatory compliance, healthcare for data security, and retail for self-service analytics.
- Best practices for Unity Catalog implementation include starting with a data asset inventory and educating users.
- Challenges like legacy data integration and RBAC complexity can be overcome with proper strategies.
- The future of Databricks governance includes AI governance, enhanced data quality, cross-platform integration, and governance automation.
Dev | 16 Mar, 2025
MGX Buys Binance Stake in $2B Crypto Deal
- Abu Dhabi's sovereign wealth fund, MGX, has invested $2 billion in Binance, marking the largest crypto investment.
- Binance receives its first institutional investment from MGX, a groundbreaking move in the crypto industry.
- MGX aims to support innovation at the intersection of blockchain and AI by investing in Binance.
- MGX expands its AI investments by backing companies like OpenAI, xAI, and Databricks, in addition to its crypto ventures.
Livebitcoinnews | 13 Mar, 2025
Azure Databricks Pricing
- Azure Databricks is a cloud-based data analytics platform on Apache Spark, providing a secure collaborative workspace for data processing, ML, and visualization.
- Pricing is based on chosen VMs and Databricks Units (DBUs), with costs varying by usage and VM type.
- Azure Databricks follows different pricing models like Pay-As-You-Go and DBU Model, charged per second of usage.
- Pricing tiers include Standard and Premium with varying features like Apache Spark, Delta, interactive clusters, and more.
- Factors affecting costs include processing, storage, network resources, DBU usage, and complexity of tasks.
- Turbo360 offers cost analysis tools for optimizing Azure Databricks expenses, providing insights and alerts on cost spikes.
- Databricks cost optimization strategies include cluster autoscaling, auto-termination, and selecting cost-efficient VM instances.
- Discount options for Azure Databricks include pre-purchasing commit units for 1-3 years, with discounts applicable to DBU usage.
- Comparison with Snowflake shows Databricks is generally priced higher, with costs influenced by computational power and unique pricing variables.
- Maintaining a budget and optimizing costs with tools like Turbo360 are vital for organizational success in managing Azure Databricks expenses.
Serverless360 | 13 Mar, 2025
Powered by
Databricks Offices
Compare Databricks with
Cognizant
3.7
Capgemini
3.7
Infosys
3.6
HCLTech
3.5
Tech Mahindra
3.5
Genpact
3.8
IBM
4.0
LTIMindtree
3.8
DXC Technology
3.7
Mphasis
3.4
Sutherland Global Services
3.6
Optum Global Solutions
4.0
CMS IT Services
3.1
iMerit
3.5
Quantiphi Analytics Solutions Private Limited
3.2
PrimEra Medical Technologies
3.5
Mavenir Systems
3.5
JoulestoWatts Business Solutions
2.9
Black Knight
3.6
Arcesium
3.6
Edit your company information by claiming this page
Contribute & help others!
You can choose to be anonymous
Companies Similar to Databricks
HCLTech
Telecom, Education & Training, Hardware & Networking, Banking, Emerging Technologies, IT Services & Consulting, Software Product
3.5
• 36.9k reviews
Tech Mahindra
BPO/KPO, Consulting, Analytics & KPO, Engineering & Construction, IT Services & Consulting
3.5
• 35.8k reviews
LTIMindtree
BPO/KPO, IT Services & Consulting
3.8
• 21.4k reviews
DXC Technology
IT Services & Consulting
3.7
• 10.1k reviews
Databricks FAQs
When was Databricks founded?
Databricks was founded in 2013. The company has been operating for 12 years primarily in the IT Services & Consulting sector.
Where is the Databricks headquarters located?
Databricks is headquartered in San Francisco,California.
Does Databricks have good work-life balance?
Databricks has a work-life balance rating of 2.4 out of 5 based on 10+ employee reviews on AmbitionBox. 68% employees rated Databricks 3 or below for work-life balance. This rating reflects a negative sentiment among employees for work-life balance. We encourage you to read Databricks work-life balance reviews for more details
Is Databricks good for career growth?
Career growth at Databricks is rated as poor, with a promotions and appraisal rating of 2.6. 68% employees rated Databricks 3 or below on promotions/appraisal. This rating reflects a negative sentiment among employees for career growth. We recommend reading Databricks reviews for more detailed insights.
What are the cons of working in Databricks?
Working at Databricks does have some drawbacks that potential employees should consider. The company is poorly rated for job security, company culture and work life balance, based on 10+ employee reviews on AmbitionBox.
Stay ahead in your career. Get AmbitionBox app
Helping over 1 Crore job seekers every month in choosing their right fit company
75 Lakh+
Reviews
5 Lakh+
Interviews
4 Crore+
Salaries
1 Cr+
Users/Month
Contribute to help millions
Get AmbitionBox app
Made with ❤️ in India. Trademarks belong to their respective owners. All rights reserved © 2024 Info Edge (India) Ltd.
Follow us
