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DBMS > Google Cloud Bigtable vs. YugabyteDB

System Properties Comparison Google Cloud Bigtable vs. YugabyteDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.High-performance distributed SQL database for global, internet-scale applications. Wire compatible with PostgreSQL.
Primary database modelWide column storeRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.55
Rank#87  Overall
#7  Wide column stores
Score1.18
Rank#161  Overall
#79  Relational DBMS
Websitecloud.google.com/­bigtablewww.yugabyte.com
Technical documentationcloud.google.com/­bigtable/­docsdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperGoogleYugabyte Inc.
Initial release20152017
Current release2.4, January 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++
Server operating systemshostedLinux
OS X
Data schemeschema-freedepending on used data model
Typing infopredefined data types such as float or datenoyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesnoyes
SQL infoSupport of SQLnoyes, PostgreSQL compatible
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnoyes infosql, plpgsql, C
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingHash and Range Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Strong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes

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More resources
Google Cloud BigtableYugabyteDB
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