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DBMS > Google Cloud Bigtable vs. Hive vs. PostGIS vs. TinkerGraph vs. TypeDB

System Properties Comparison Google Cloud Bigtable vs. Hive vs. PostGIS vs. TinkerGraph vs. TypeDB

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonHive  Xexclude from comparisonPostGIS  Xexclude from comparisonTinkerGraph  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.data warehouse software for querying and managing large distributed datasets, built on HadoopSpatial extension of PostgreSQLA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APITypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelKey-value store
Wide column store
Relational DBMSSpatial DBMSGraph DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score0.08
Rank#348  Overall
#35  Graph DBMS
Score0.65
Rank#234  Overall
#20  Graph DBMS
#107  Relational DBMS
Websitecloud.google.com/­bigtablehive.apache.orgpostgis.nettinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlintypedb.com
Technical documentationcloud.google.com/­bigtable/­docscwiki.apache.org/­confluence/­display/­Hive/­Homepostgis.net/­documentationtypedb.com/­docs
DeveloperGoogleApache Software Foundation infoinitially developed by FacebookVaticle
Initial release20152012200520092016
Current release3.1.3, April 20223.4.2, February 20242.26.3, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoGPL v2.0Open Source infoApache 2.0Open Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCJavaJava
Server operating systemshostedAll OS with a Java VMLinux
OS X
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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.noyesnono
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesnono
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
Thrift
TinkerPop 3gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C++
Java
PHP
Python
Groovy
Java
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceuser defined functionsnono
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infobased on PostgreSQLnoneSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesselectable replication factoryes infobased on PostgreSQLnoneMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReducenonoyes 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)Eventual ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynonoyesyes infoRelationships in graphsno infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes
Durability infoSupport for making data persistentyesyesyesoptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and rolesyes infobased on PostgreSQLnoyes infoat REST API level; other APIs in progress
More information provided by the system vendor
Google Cloud BigtableHivePostGISTinkerGraphTypeDB infoformerly named Grakn
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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More resources
Google Cloud BigtableHivePostGISTinkerGraphTypeDB infoformerly named Grakn
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