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

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

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonGreptimeDB  Xexclude from comparisonHive  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.An open source Time Series DBMS built for increased scalability, high performance and efficiencydata 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 API
Primary database modelKey-value store
Wide column store
Time Series DBMSRelational DBMSSpatial DBMSGraph 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
Score0.06
Rank#352  Overall
#33  Time Series DBMS
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/­bigtablegreptime.comhive.apache.orgpostgis.nettinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationcloud.google.com/­bigtable/­docsdocs.greptime.comcwiki.apache.org/­confluence/­display/­Hive/­Homepostgis.net/­documentation
DeveloperGoogleGreptime Inc.Apache Software Foundation infoinitially developed by Facebook
Initial release20152022201220052009
Current release3.1.3, April 20223.4.2, February 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2Open Source infoGPL v2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustJavaCJava
Server operating systemshostedAndroid
Docker
FreeBSD
Linux
macOS
Windows
All OS with a Java VM
Data schemeschema-freeschema-free, schema definition possibleyesyesschema-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.nonoyesno
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLnoyesSQL-like DML and DDL statementsyesno
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
gRPC
HTTP API
JDBC
JDBC
ODBC
Thrift
TinkerPop 3
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C++
Erlang
Go
Java
JavaScript
C++
Java
PHP
Python
Groovy
Java
Server-side scripts infoStored proceduresnoPythonyes infouser defined functions and integration of map-reduceuser defined functionsno
Triggersnonoyesno
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 factoryes infobased on PostgreSQLnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyEventual ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynonoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
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.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Simple rights management via user accountsAccess rights for users, groups and rolesyes infobased on PostgreSQLno
More information provided by the system vendor
Google Cloud BigtableGreptimeDBHivePostGISTinkerGraph
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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More resources
Google Cloud BigtableGreptimeDBHivePostGISTinkerGraph
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