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410What is a Wide-Column Store?
411Column Families and Super Columns
412Sparse Data and Schema Flexibility
413Row Keys and Clustering
414Column-Oriented Storage Benefits
415Write Path and LSM Trees
416Read Path and Bloom Filters
417Compaction Strategies
418Time-Series and Time-Ordered Data
419Wide-Column vs Document Stores
420Cassandra Overview and Data Model
421Partitioning with Partition Keys
422Clustering Columns and Row Ordering
423Primary Key Components
424Replication Strategy and Factor
425Tunable Consistency Levels
426Write Path and Commit Log
427SSTables and Immutable Storage
428Compaction Strategies
429Read Path and Bloom Filters
430Gossip Protocol and Failure Detection
431Hinted Handoff and Read Repair
432Data Modeling Best Practices
433What is HBase?
434HBase Architecture Components
435HBase Regions and Region Servers
436HBase Write Path and WAL
437HBase Read Path and Bloom Filters
438HBase Compactions
439Google BigTable Architecture
440BigTable Tablets and Tablet Servers
441HBase vs BigTable Design Differences
442When to Use HBase or BigTable
443BigTable Overview and Motivation
444Data Model: Sparse, Distributed, Multi-Dimensional Map
445Tablet Architecture and Distribution
446SSTable and GFS Dependencies
447Master Server and Metadata Management
448Write Path: MemTable and Commit Logs
449Read Path and Compaction
450BigTable's Influence on Modern Systems

410What is a Wide-Column Store?
411Column Families and Super Columns
412Sparse Data and Schema Flexibility
413Row Keys and Clustering
414Column-Oriented Storage Benefits
415Write Path and LSM Trees
416Read Path and Bloom Filters
417Compaction Strategies
418Time-Series and Time-Ordered Data
419Wide-Column vs Document Stores
420Cassandra Overview and Data Model
421Partitioning with Partition Keys
422Clustering Columns and Row Ordering
423Primary Key Components
424Replication Strategy and Factor
425Tunable Consistency Levels
426Write Path and Commit Log
427SSTables and Immutable Storage
428Compaction Strategies
429Read Path and Bloom Filters
430Gossip Protocol and Failure Detection
431Hinted Handoff and Read Repair
432Data Modeling Best Practices
433What is HBase?
434HBase Architecture Components
435HBase Regions and Region Servers
436HBase Write Path and WAL
437HBase Read Path and Bloom Filters
438HBase Compactions
439Google BigTable Architecture
440BigTable Tablets and Tablet Servers
441HBase vs BigTable Design Differences
442When to Use HBase or BigTable
443BigTable Overview and Motivation
444Data Model: Sparse, Distributed, Multi-Dimensional Map
445Tablet Architecture and Distribution
446SSTable and GFS Dependencies
447Master Server and Metadata Management
448Write Path: MemTable and Commit Logs
449Read Path and Compaction
450BigTable's Influence on Modern Systems

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Lesson 441 of 1,919·12. NoSQL: Wide-Column StoresPro lesson

HBase vs BigTable Design Differences

BigTable is fully managed on Google's infrastructure; HBase is open-source, self-managed, and runs on Hadoop.

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