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

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

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonHive  Xexclude from comparisonPostGIS  Xexclude from comparisonTinkerGraph  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
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 APITransactional SQL-on-Hadoop DBMS
Primary database modelKey-value store
Wide column store
Relational DBMSSpatial DBMSGraph DBMSRelational DBMS
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
Websitecloud.google.com/­bigtablehive.apache.orgpostgis.nettinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlintrafodion.apache.org
Technical documentationcloud.google.com/­bigtable/­docscwiki.apache.org/­confluence/­display/­Hive/­Homepostgis.net/­documentationtrafodion.apache.org/­documentation.html
DeveloperGoogleApache Software Foundation infoinitially developed by FacebookApache Software Foundation, originally developed by HP
Initial release20152012200520092014
Current release3.1.3, April 20223.4.2, February 20242.3.0, February 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoGPL v2.0Open Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCJavaC++, Java
Server operating systemshostedAll OS with a Java VMLinux
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 statementsyesnoyes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
Thrift
TinkerPop 3ADO.NET
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C++
Java
PHP
Python
Groovy
Java
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceuser defined functionsnoJava Stored Procedures
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infobased on PostgreSQLnoneSharding
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 PostgreSQLnoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReducenonoyes infovia user defined functions and HBase
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 graphsyes
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 PostgreSQLnofine grained access rights according to SQL-standard

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More resources
Google Cloud BigtableHivePostGISTinkerGraphTrafodion
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