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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
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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
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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.
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Databricks Ratings
based on 19 reviews
Overall Rating
2.7/5
How AmbitionBox ratings work?
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4
2
3
5
2
2
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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.
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Databricks Reviews
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Compare Databricks with Similar Companies
|  Change Company |  Change Company |  Change Company | |
|---|---|---|---|---|
Overall Rating | 2.7/5 based on 19 reviews | 3.6/5 based on 3 reviews | 4.2/5 based on 63 reviews | 2.3/5 based on 4 reviews |
Highly Rated for |  No highly rated category | No highly rated category | Work-life balance Salary Company culture | No highly rated category |
Critically Rated for | Job security Company culture Work-life balance | Skill development Work-life balance Salary |  No critically rated category | Job security Work-life balance Company culture |
Rating by Women Employees | 3.8 Good rated by 6 women | - no rating available | 4.4 Good rated by 6 women | 1.0 Bad rated by 1 women |
Rating by Men Employees | 2.2 Poor rated by 12 men | - no rating available | 4.2 Good rated by 52 men | 2.5 Poor rated by 3 men |
Job security | 2.2 Poor | 3.3 Average | 3.6 Good | 1.9 Bad |
View more
Databricks Salaries
Databricks salaries have received with an average score of 3.7 out of 5 by 19 employees.
Technical Solutions Engineer
(23 salaries)
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₹12 L/yr - ₹33 L/yr
Data Engineer
(15 salaries)
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₹12 L/yr - ₹26 L/yr
Solution Architect
(9 salaries)
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₹32 L/yr - ₹54.5 L/yr
Senior Data Engineer
(7 salaries)
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₹25 L/yr - ₹35 L/yr
Senior Technical Solutions Engineer
(7 salaries)
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₹27.3 L/yr - ₹42 L/yr
Associate Technical Solutions Engineer
(7 salaries)
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₹12 L/yr - ₹18 L/yr
Data Scientist
(5 salaries)
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₹7 L/yr - ₹24 L/yr
Senior Solution Architect
(5 salaries)
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₹48 L/yr - ₹85 L/yr
SSE
(5 salaries)
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₹37.6 L/yr - ₹40 L/yr
Senior Solution Consultant
(5 salaries)
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₹33.2 L/yr - ₹42 L/yr
Databricks Interview Questions
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Top Databricks interview questions and answers
Databricks Jobs
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Current Openings
Databricks News
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Databricks Introduces New Tools To Build Scalable, Trusted AI Agents
- Data and AI company Databricks has introduced new tools to help enterprises build scalable, trusted AI agents.
- The tools include centralized governance for AI models, simplified integration into existing app workflows, streamlined human-in-the-loop workflows, and provision-less batch inference.
- These tools aim to enable organizations to deploy AI agents in high-value, mission-critical applications with accuracy, governance, and ease of use.
- The new tools address challenges related to accuracy, governance, and security, allowing businesses to move beyond pilot phases and into full-scale production with trusted AI agents.
Bloomberg Quint | 11 Mar, 2025
Databricks Launches New Tools for Scalable and Governed AI Agents
- Databricks has introduced new tools to help enterprises scale AI agents from pilot projects to full production while ensuring governance, monitoring, and integration.
- The new tools address challenges faced by enterprises in deploying accurate and well-governed AI agents for high-value use cases.
- The tools include Mosaic AI Gateway, AI/BI Genie Conversational API, Agent Evaluation Review App, and Batch AI, which are currently available in public preview.
- These tools enable businesses to move beyond pilots and into full-scale production with trusted AI agents.
Analyticsindiamag | 11 Mar, 2025
Databricks kicks off an initiative to make AI agents easier to build and manage
- Databricks has launched the Week of Agents initiative to help enterprises deploy and scale AI agents.
- The Mosaic AI Gateway is being expanded to work with open-source and commercial large language models.
- The AI/BI Genie Conversation API suite allows developers to embed natural language chatbots into custom-built apps.
- Databricks also introduced the Provision-Less Batch Inference to run batch inference with Mosaic AI using a single SQL query.
Siliconangle | 10 Mar, 2025
Domo and Koantek: A Partnership that Puts AI-Driven Insights to Work
- Domo and Koantek have partnered to help businesses transform complex data into actionable insights faster.
- The partnership enables seamless integration and bi-directional data flow between Domo and the Databricks Data Intelligence Platform.
- Business leaders, analysts, and IT teams can benefit from faster data integration, real-time decision-making, and AI-powered automation.
- The collaboration aims to eliminate data silos, improve efficiency, innovation, and growth for businesses.
Domo | 6 Mar, 2025
Accenture Acquires Halfspace, Invests in Aaru to Advance AI Capabilities
- Accenture has acquired Danish AI company Halfspace and made an investment in AI-driven analytics firm Aaru to advance its AI capabilities.
- The acquisition of Halfspace brings almost 80 AI specialists to Accenture's Nordic AI practice, expanding its Center for Advanced AI in the Nordics.
- Halfspace has strong partnerships with Databricks, Microsoft, and NVIDIA, and its team has expertise in strategy consulting and top academic research.
- Accenture's investment in Aaru aims to help the company improve its technology and enable businesses to better understand customer expectations through AI-driven analysis and prediction.
Analyticsindiamag | 5 Mar, 2025
The World’s Biggest Tech Companies Are Rushing to Bengaluru, But…
- Bengaluru is transforming into a global AI hub, attracting major tech companies due to its extensive ecosystem of professionals and competitive advantages over California.
- Companies like Google, Meta, and Databricks are expanding their presence in Bengaluru, focusing on AI and data science talent.
- The city is also attracting investments in manufacturing, particularly in electric vehicles, renewable energy, and steel production.
- Despite its growth, Bengaluru faces challenges in infrastructure and civic issues due to government inefficiencies.
- Bengaluru's appeal lies in its affordability, competitive salaries, job opportunities, and support for job transitions, making it a preferred location for tech companies.
- The city boasts over 1,000 startups, including AI firms like Sarvam AI and Krutrim, actively recruiting for AI roles.
- Global investment firm Fidelity International doubled its office space in Bengaluru to 50,000 square feet, reflecting the city's attractiveness.
- Bengaluru's emergence as a tech hub is challenging traditional tech cities like San Francisco, offering longer runways and lower costs for startups.
- In manufacturing, companies like Volvo Group and Mahindra Group are investing significantly in Bengaluru, creating jobs and contributing to industrial growth.
- However, infrastructure challenges such as traffic congestion and inadequate public transport pose growing pains for Bengaluru's rapid development.
Analyticsindiamag | 3 Mar, 2025
Top SaaStr Posts and Pods of the Week: CEO Procore, AI at Monday.com, CRO Databricks and More!!
- The 2021 GTM Playbook Is Mostly Dead. But What’s The AI Era Replacement?
- How AI is Really Changing SaaS From the CEO of Procore, co-CEO of Monday and Chair of HubSpot
- Sapphire Ventures: VC Deals in B2B Start 2025 … Down Another -8%
- Top Pods and Vids: The 2025 SaaS Vibe Check, Going Long, The Future of AI in B2B SaaS, From $1M to $3B ARR, Transitioning from Sales-Led to Product-Led Growth
Saastr | 2 Mar, 2025
Cloud-Driven Analytics Solution Strategy in Healthcare
- Combining Apache Spark for real-time streaming analytics with cloud-based technologies like AWS and Databricks offers revolutionary possibilities in healthcare.
- Using identity and access management (IAM) and encryption techniques, the approach improves data governance and security.
- The framework comprises data ingestion, processing, storage, governance, and visualization layers.
- Integration of AWS, Databricks, and Apache Spark ensures scalable, high-performance analytics pipelines and compliance with healthcare regulations.
Dzone | 27 Feb, 2025
How Databricks Powers Domino’s to Deliver 1.5 Million Pizzas Daily
- Domino's leverages Databricks' Mosaic AI tools to enhance customer insights and streamline operations.
- Databricks' vector search enables rapid retrieval of customer feedback for sentiment analysis and theme identification.
- Model serving endpoints in Databricks facilitate sentiment analysis and feedback classification with optimized performance.
- Domino's plans to expand AI-powered insights to other platforms and integrate additional social media channels for feedback analysis.
Analyticsindiamag | 27 Feb, 2025
Unlocking the Power of LLMOps in Databricks on AWS
- Large Language Model Operations (LLMOps) in Databricks on AWS involve managing complex components such as data ingestion, model fine-tuning, deployment, monitoring, and more, requiring collaboration across teams.
- LLMOps activities include Model Lifecycle Management, Data management, Deployment focusing on efficiency and reliability, Monitoring for performance metrics, and Security and compliance support for ethical AI practices.
- Provisions in Databricks Workspace and AWS for LLMOps include IAM roles, setup of compute clusters with GPUs, continuous delivery with AWS CodePipeline, and ingestion of data into AWS S3/RDS.
- LLMOps process involves building applications with Vector DB, fine-tuning models, using Feature tables, and leveraging Databricks Unity Catalog for data governance features.
- Model evaluation, fine-tuning, and monitoring is crucial for maintaining performance and reliability standards, with tools like MLFlow.evaluate API and Databricks Lakehouse Monitoring aiding in assessing model drift.
- Security guidelines, quality considerations, and monitoring in production environments are essential for ensuring AI systems are unbiased, validated for appropriateness, and adhere to ethical guidelines.
- Human feedback loops play a key role in LLM applications for continuous improvement, facilitated by frameworks like the Mosaic AI Agent Framework review app.
- LLMOps integration with Databricks and AWS enhances organizations' capabilities to scale, optimize, and govern large language models efficiently, driving innovation and competitive advantage.
- By operationalizing LLMOps, businesses can unlock the full potential of AI technologies, accelerate time to market, improve security, and optimize operational processes.
Medium | 26 Feb, 2025
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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.
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