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DBMS > Google Cloud Bigtable vs. HBase vs. TypeDB

System Properties Comparison Google Cloud Bigtable vs. HBase vs. TypeDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonHBase  Xexclude from comparisonTypeDB infoformerly named Grakn  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.Wide-column store based on Apache Hadoop and on concepts of BigTableTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelWide column storeWide column storeGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.63
Rank#91  Overall
#8  Wide column stores
Score45.54
Rank#25  Overall
#2  Wide column stores
Score0.78
Rank#198  Overall
#18  Graph DBMS
#96  Relational DBMS
Websitecloud.google.com/­bigtablehbase.apache.orgvaticle.com
Technical documentationcloud.google.com/­bigtable/­docshbase.apache.orgdocs.vaticle.com
DeveloperGoogleApache Software Foundation infoApache top-level project, originally developed by PowersetVaticle (formerly Grakn Labs)
Initial release201520082016
Current release2.3.4, January 20212.5, October 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Cloudera Operational Database: Cloud-native autonomous Apache HBase for unparalleled scale, performance and reliability. Automate and simplify database management with capabilities like auto-scale, auto-heal, and auto-tune.
Implementation languageJavaJava
Server operating systemshostedLinux
Unix
Windows infousing Cygwin
Linux
OS X
Windows
Data schemeschema-freeschema-free, schema definition possibleyes
Typing infopredefined data types such as float or datenooptions to bring your own types, AVROyes
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.nonono
Secondary indexesnonoyes
SQL infoSupport of SQLnonono
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Java API
RESTful HTTP API
Thrift
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javano
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-replica replication
Multi-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsSingle row ACID (across millions of columns)ACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACyes infoat REST API level; other APIs in progress
More information provided by the system vendor
Google Cloud BigtableHBaseTypeDB infoformerly named Grakn
Specific characteristicsApache HBase is the leading NoSQL, distributed database management system, well suited...
» more
Meet TypeDB (and TypeQL ) TypeDB is a strongly-typed database with a rich and logical...
» more
Competitive advantagesNo single point of failure ensures very high availability with multiple customers...
» more
Entity-Relationship Model TypeDB allows you to model your domain using the well-known...
» more
Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
» more
Life sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Key customersApple, Salesforce, Cerner, Allegis Group, Bloomberg, Airtel, Thomson Reuters, Dish,...
» more
Market metrics#1 largest NoSQL database by revenue
» more
Licensing and pricing modelsApache license P ricing for commercial distribution provided by Cloudera and available...
» more
AGPL and Commercial . The commercial license is priced based on cluster resources...
» more

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More resources
Google Cloud BigtableHBaseTypeDB infoformerly named Grakn
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