Databricks, Inc.

Updating KV-cache across transformer layers

Vector index building in distributed computing system

Automatic pipeline for embedding vector generation

Data lineage tracking

Scaling delta table optimize command

Automatic vector index generation with machine-learned large language model

Deterministic cross-platform circuit design emulation

Notebook snapshot restore in a serverless setting

Multiple pass sort

Data maintenance transaction rollbacks

Constructing batches with dataloader workers with disjoint shard downloads

Integrated workspace file system

SYNCHRONIZATION OF ACCESS CONTROL POLICIES WITH EXTERNAL DATA PLATFORMS

GENERATING MINOR COMPACTIONS TO CAPTURE AGGREGATED ACTIONS FOR COMMIT RANGES TO DATA FILES

Priority for autoscaling of streaming workloads

INCREMENTAL EXECUTION OF EXTRACT, TRANSFORM, LOAD PROCESS USING MICROTECHNIQUES ARCHITECTURE

COMPILE TIME PROCESSING OF EXTRACT, TRANSFORM, LOAD PROCESS

Reducing cluster start up time

Nested array batch processing

PIPELINED EXECUTION OF DATABASE QUERIES PROCESSING STREAMING DATA

Clustering Key Selection Based on Machine-Learned Key Selection Models for Data Processing Service

UPDATE AND QUERY OF A LARGE COLLECTION OF FILES THAT REPRESENT A SINGLE DATASET STORED ON A BLOB STORE

Multiple pass sort with subset splitting

DATA ASSET SHARING BETWEEN ACCOUNTS AT A DATA PROCESSING SERVICE USING CLOUD TOKENS

USING LLM FUNCTIONS TO EVALUATE AND COMPARE LARGE TEXT OUTPUTS OF LLMS

CLEAN ROOM GENERATION FOR DATA COLLABORATION AND EXECUTING CLEAN ROOM TASK IN DATA PROCESSING PIPELINE

CONCURRENT OPTIMISTIC TRANSACTIONS FOR TABLES WITH DELETION VECTORS

K-D Tree Balanced Splitting

Reducing cluster start up time

Data lineage tracking

Clustering key selection based on machine-learned key selection models for data processing service

Checkpoint and restore based startup of executor nodes of a distributed computing engine for processing queries

MESSAGING DEDPULICATION IN PUBLISH / SUBSCRIBE SYSTEM

MODEL ML REGISTRY AND MODEL SERVING

Clean room generation for data collaboration

DATA FILE CLUSTERING WITH KD-EPSILON TREES

DATA FILE CLUSTERING WITH KD-CLASSIFIER TREES

Data sharing for network connected systems

Fetching Query Results Through Cloud Object Stores

Hash based rollup with passthrough

Data sharing for network connected systems

Auto maintenance for data tables in cloud storage

Short query prioritization for data processing service

Retrieval and caching of object metadata across data sources and storage systems

Multiple pass sort

Scaling delta table optimize command

Data ingestion using data file clustering with KD-epsilon trees

Data maintenance transaction rollbacks

Multi-cluster query result caching

MULTI-CLUSTER QUERY RESULT CACHING

Dictionary filtering and evaluation in columnar databases

Evaluating expressions over dictionary data

Adaptive approach to lazy materialization in database scans using pushed filters

STATIC APPROACH TO LAZY MATERIALIZATION IN DATABASE SCANS USING PUSHED FILTERS

Execution and attestation of user defined functions in databases

RUNTIME ERROR ATTRIBUTION FOR DATABASE QUERIES SPECIFIED USING A DECLARATIVE DATABASE QUERY LANGUAGE

Concurrent optimistic transactions for tables with deletion vectors

State rebalancing in structured streaming

SYSTEMS AND METHODS FOR A VIRTUAL SANDBOX DATABASE

Model ML registry and model serving

EFFICIENTLY VECTORIZED IMPLEMENTATION OF OPERATIONS IN A GLOBAL GRID INDEXING LIBRARY

Fetching query results through cloud object stores

Function creation for database execution of deep learning model

EFFICIENT MERGE OF TABULAR DATA USING MIXING

Efficient merging of tabular data with post-processing compaction

Efficient merge of tabular data with deletion indications

EFFICIENT MERGE OF TABULAR DATA USING A PROCESSING FILTER

Scan parsing

Scan parsing

Update and query of a large collection of files that represent a single dataset stored on a blob store

K-D tree balanced splitting

Query watchdog

Automated processing of multiple prediction generation including model tuning

Hash based rollup with passthrough

FEATURE STORE WITH INTEGRATED TRACKING

Model ML registry and model serving

Integrated native vectorized engine for computation

Structured cluster execution for data streams

Dataflow graph processing

Function creation for database execution of deep learning model

Scaling delta table optimize command

Managed metastorage

FEATURE STORE WITH INTEGRATED TRACKING

LIFO based spilling for grouping aggregation

Automated processing of multiple prediction generation including model tuning

Dataflow graph processing with expectations

Dataflow graph processing

Update and query of a large collection of files that represent a single dataset stored on a blob store

Integrated native vectorized engine for computation

Model ML registry and model serving

Query watchdog

BACKGROUND DATASET MAINTENANCE

Update and query of a large collection of files that represent a single dataset stored on a blob store

Autoscaling using file access or cache usage for cluster machines

Autoscaling using file access or cache usage for cluster machines

Split front end for flexible back end cluster processing

Update and query of a large collection of files that represent a single dataset stored on a blob store

Structured cluster execution for data streams

Query watchdog

Query watchdog