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

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

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonHive  Xexclude from comparisonPlanetScale  Xexclude from comparisonPostGIS  Xexclude from comparisonTinkerGraph  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 HadoopScalable, distributed, serverless MySQL database platform built on top of VitessSpatial extension of PostgreSQLA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelKey-value store
Wide column store
Relational DBMSRelational DBMSSpatial DBMSGraph DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational 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
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score0.08
Rank#348  Overall
#35  Graph DBMS
Websitecloud.google.com/­bigtablehive.apache.orgplanetscale.compostgis.nettinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationcloud.google.com/­bigtable/­docscwiki.apache.org/­confluence/­display/­Hive/­Homeplanetscale.com/­docspostgis.net/­documentation
DeveloperGoogleApache Software Foundation infoinitially developed by FacebookPlanetScale
Initial release20152012202020052009
Current release3.1.3, April 20223.4.2, February 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialOpen Source infoGPL v2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoCJava
Server operating systemshostedAll OS with a Java VMDocker
Linux
macOS
Data schemeschema-freeyesyesyesschema-free
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.noyesno
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyes infowith proprietary extensionsyesno
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
Thrift
ADO.NET
JDBC
MySQL protocol
ODBC
TinkerPop 3
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C++
Java
PHP
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Groovy
Java
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceyes infoproprietary syntaxuser defined functionsno
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingyes infobased on PostgreSQLnone
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesselectable replication factorMulti-source replication
Source-replica replication
yes infobased on PostgreSQLnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistencynone
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage engineyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoACID at shard levelACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyesno
Durability infoSupport for making data persistentyesyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
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 rolesUsers with fine-grained authorization concept infono user groups or rolesyes infobased on PostgreSQLno

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More resources
Google Cloud BigtableHivePlanetScalePostGISTinkerGraph
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