Open Source | DatabricksSkip to main contentPlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT
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Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWOpen sourceDatabricks engineers are the original creators of some of the world’s most popular open source data technologiesJoin a meetupOur most popular open source projectsApache Spark™Apache Spark is a unified engine for executing data engineering, data science and ML workloads.
What is Apache Spark?
Comparing Spark and Databricks
Visit spark.apache.org
Delta LakeDelta Lake lets you build a lakehouse architecture on top of storage systems such as AWS S3, ADLS, GCS and HDFS.
Learn more about Delta Lake
Visit delta.io
Tech Talks: Getting Started with Delta Lake
MLflowMLflow manages the ML lifecycle, including experimentation, reproducibility, deployment and a central model registry.
Managed MLflow on Databricks
Visit mlflow.org
Tech Talks: Managing the ML Lifecycle
RedashRedash enables anyone to leverage SQL to explore, query, visualize, and share data from both big and small data sources.
Visit Redash on GitHub
Delta SharingDelta Sharing is the industry’s first open protocol for secure data sharing, making it simple to share data with other organizations.
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Databricks supports these additional popular open source technologiesTensorFlowDatabricks supports TensorFlow, a library for deep learning and general computation on clusters
TensorFlow on Databricks
PyTorch™Facebook, the creator of PyTorch, and Databricks have collaborated on integrations
PyTorch on Databricks
Keras™Deep learning API written in Python, running on top of TensorFlow. Available in Databricks Runtime for ML
Keras on Databricks
RStudioAn open source suite of tools for collaborative data science using R ​
R programming on big data
scikit-learnWidely used Python package for machine learning built on top of NumPy, SciPy and Matplotlib​​
Scikit-learn on Databricks
XGBoostA distributed gradient boosting library that has bindings in languages such as Python, R and C++XGBoost on DatabricksTerraformHashiCorp Terraform is a popular open source tool for creating safe and predictable cloud infrastructure across several cloud providers. Databricks Terraform provider allows customers to manage their entire Databricks workspaces along with the rest of their infrastructure using a flexible, powerful tool. Using Terraform also encourages customers to adopt best practices with infrastructure as code (IaC)Terraform on DatabricksReady to get started?Try Databricks for freeProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers
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