Databricks Data Intelligence Platform
Databricks, Inc.External reviews
640 reviews
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Data analyst's go to platform !
What do you like best about the product?
Databricks has been amazing to work on. It provides real time data collection and management through big data ML , so resourceful i would say. It combines different data from large scale data processes and make it more usable which is execellent for medium as well big enterprises.And most amazing part i like its integration with Delta lake and spark.
What do you dislike about the product?
It is an advance platform although it needs some improvement in ui for beginners and cost can get pretty high for working on large data.
What problems is the product solving and how is that benefiting you?
Databricks is very helpful in sorting out and analysis of large datasets in real time which is big thing. Scalability options are very very versatile and ai works swiftly for analysis and decision making as well. So it makes us quite productive and saves lots of time.
All in one database management tool with Ai !
What do you like best about the product?
I find it very reliable and futuristic for its price . There are lots of function that is very important for our company like Data transformation tool and data analyst usage with queries makes it even more useful.I also use lakeflow which is quite easy to implement with low codes and customer support helped us with important guides to implement in initial setup.
What do you dislike about the product?
It is powerful tool although its Machiene learning and Ai capabilities can be made more smootherand better.
What problems is the product solving and how is that benefiting you?
Databricks managed all big data in our company and generates good results when our analyst team compare it with when we were not using it. I never faced downside or major clutter while working on this platform .
Unlocking Insights - Databricks : Unified Lakehouse Platform for Modern Data Intelligence
What do you like best about the product?
Mainly 60-70% of day-day actviities goes with Databricks DLT , Autoloader, databricks Workflows usage for Building unified pipelines
Also I use for creating the MlOps MlFlow Model serving , feature Store Online store tables for Model deployments, evaualtion & use the Lakeouse flow monitoring. Also used Mosiac AI gateway
Soon looking forward of using the Databricks serverless in engineering notebook pipelines also apart from DLT
DB-SQL with Delta Photon Optimization and the lIquid clustering solves the Optimize/Z-order manual work of optimizations
Also recently migrated coupled oh Hive Metastore of various Line of busienss for Civil quants & Risk applications into Unity Catalog
Also I use for creating the MlOps MlFlow Model serving , feature Store Online store tables for Model deployments, evaualtion & use the Lakeouse flow monitoring. Also used Mosiac AI gateway
Soon looking forward of using the Databricks serverless in engineering notebook pipelines also apart from DLT
DB-SQL with Delta Photon Optimization and the lIquid clustering solves the Optimize/Z-order manual work of optimizations
Also recently migrated coupled oh Hive Metastore of various Line of busienss for Civil quants & Risk applications into Unity Catalog
What do you dislike about the product?
Currently not much, slowly everything getting addressed on improvements with Public releases starting from enahnced workflows , Genie, Databricks AI assitant & so
Still need to more fine tune the AI assitants to understand the previous error history happened in that cluster & provide suggestions not only in code syntax but also provide alternate options to permanently solve & write teh code in optmized ways without asking in Prompts
Vector search need more improvemnt with more precise reterievals to provide context for DBR models & more embedding models need to be served from AI gateway
Still need to more fine tune the AI assitants to understand the previous error history happened in that cluster & provide suggestions not only in code syntax but also provide alternate options to permanently solve & write teh code in optmized ways without asking in Prompts
Vector search need more improvemnt with more precise reterievals to provide context for DBR models & more embedding models need to be served from AI gateway
What problems is the product solving and how is that benefiting you?
Used for Migrating Hive Metastore to Unity Catalog ensures better data governance and accessibility across various lines of business, enhancing data management and compliance. Integrated also Snowflake catalog to Unity catalog as external catalog as part of POC tetsing
Lakehouse flow monitoring provides insights into data processes, allowing for timely detection and resolution of issue, used DLT for data quality expectation for providing insights
For analysis DB-SQL leveraging Delta and Photon optimization, you minimize manual optimization efforts and improve query performance through automatic Z-ordering and clustering.
For model building Utilizing MLFlow for model serving and feature store tables allows for smoother model deployment and evaluation, enhancing the overall machine learning lifecycle.
Lakehouse flow monitoring provides insights into data processes, allowing for timely detection and resolution of issue, used DLT for data quality expectation for providing insights
For analysis DB-SQL leveraging Delta and Photon optimization, you minimize manual optimization efforts and improve query performance through automatic Z-ordering and clustering.
For model building Utilizing MLFlow for model serving and feature store tables allows for smoother model deployment and evaluation, enhancing the overall machine learning lifecycle.
Unified Platform for Big Data and ML.
What do you like best about the product?
It seamlessly integrates with various data sources, which makes it easy to setup and use. The user-friendly interface enhances user experience.
What do you dislike about the product?
It can be overwhelming for beginners to navigate all the funtionalities.
What problems is the product solving and how is that benefiting you?
Databricks Data Intelligence Platoform analyze large datasets very efficiently. It has benefited my team by enhancing productivity and reducing time spent on data preparation.
Designated as Associate Data engineer, sharing my experience as a feedback using this feedback form
What do you like best about the product?
The Collaboration of everything on one platform - MLflow, SQL, Warehouse, Data analyst tools and data engineer tools makes learning of different roles and new verticals easy to process.
What do you dislike about the product?
AI integration can be improvised, can provide more credits for their different teir plans, should add more data visualisation support
What problems is the product solving and how is that benefiting you?
Bringing all the team on a single platform makes integration and pipelining things a lot easier, apart from support from databricks having things open-source delta and unity catalog this becomes much more versatile for us
Databrics a great Platform to work Upon and solve Complex AI issues
What do you like best about the product?
The use of ETL to extract data and then process within same platform reduces the need to maintain multiple platforms
What do you dislike about the product?
A bit tough to learn at first shot but if you give some of your precious time it helps in saving a lot of your time in return
What problems is the product solving and how is that benefiting you?
It helps me to write scripts in my own python language and SQL usage too and we can evaluate the code and also amke it sharable for others to collaborate and do things wisely
Easy to build data pipeline
What do you like best about the product?
Ease of implementation and modification of scripts
What do you dislike about the product?
Has a bit of a learning curve if new to the field
What problems is the product solving and how is that benefiting you?
User friendly and ease of integration with other services
Databricks - Best Tool for Data and AI
What do you like best about the product?
The best part of databricks data intelligence is that it's very simple to use and have lot of fetures that helps us develope data pipeline and AI, and it help us us to easy implemet GenAI mostly RAG in production. LakeFlow made inetegration very esy with different sources as low code no code approch.
What do you dislike about the product?
Currently I think we don't have such dislike things in databricks as it's enabling new feature on daily basis and it's helping developers and analyist most.
What problems is the product solving and how is that benefiting you?
Problems: There is a complex land of the data to be secure and it needs security, privacy & governance over variety of sources that lead into error prone system.
Solution: Databricks provides security features for data governance, access controls and compliance to secure the data using Unity Catalog.
Solution: Databricks provides security features for data governance, access controls and compliance to secure the data using Unity Catalog.
Very likely to recommend data brick intelligence platform
What do you like best about the product?
i like easy to use interface with strong features supporting and helping in data transformation and implementing data pipeline quickly. i also like it has capability to be used by data analyst using query and result in dashboard , data engineer using notebooks, workflow, CDC, Timetravel, DLT and data scientist with ML model all in one intelligent interface.
What do you dislike about the product?
i do not like only 30 days trail period and missing update mail from databricks.
What problems is the product solving and how is that benefiting you?
Databrick is solving multiple data tools issues for multiple role, IT unified all strong features by provding data lakehouse with ETL, warehouse , ML feature support on top of external cloud host with GEN AI capability too. I am using databrick in my current engagement and it is helping me as simple and strong tool to ingest and transform data from bronze to gold layer using workflows.
Best solution for Data Governance provided by Databricks
What do you like best about the product?
Users can see all the schema and tables in 1 place.
Unity catalog provides simple access management platform so access can be provided at multiple levels.
It provides flexibility to monitor the cost spend for data storage.
It provides great data security as well and data can be accessed from various platforms using open APIs.
Unity catalog provides simple access management platform so access can be provided at multiple levels.
It provides flexibility to monitor the cost spend for data storage.
It provides great data security as well and data can be accessed from various platforms using open APIs.
What do you dislike about the product?
Most of the organization still using the traditional database system so it is difficult to migrate their database from traditional SQL database to databricks so without migration Unity catalog can also not be implemented.
What problems is the product solving and how is that benefiting you?
Granting access to the users was a complex task for us because previously we have to open the each schema and table and provide the access to them but after implementing Unity catalog access can be granted at workspace level as well so same access will be inherited to the all the objects present in the workspace.
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