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DBMS > Google Cloud Bigtable vs. GridDB vs. openGemini vs. OpenTSDB

System Properties Comparison Google Cloud Bigtable vs. GridDB vs. openGemini vs. OpenTSDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonGridDB  Xexclude from comparisonopenGemini  Xexclude from comparisonOpenTSDB  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.Scalable in-memory time series database optimized for IoT and Big DataAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityScalable Time Series DBMS based on HBase
Primary database modelKey-value store
Wide column store
Time Series DBMSTime Series DBMSTime Series DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Score1.91
Rank#123  Overall
#10  Time Series DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score1.59
Rank#140  Overall
#12  Time Series DBMS
Websitecloud.google.com/­bigtablegriddb.netwww.opengemini.org
github.com/­openGemini
opentsdb.net
Technical documentationcloud.google.com/­bigtable/­docsdocs.griddb.netdocs.opengemini.org/­guideopentsdb.net/­docs/­build/­html/­index.html
DeveloperGoogleToshiba CorporationHuawei and openGemini communitycurrently maintained by Yahoo and other contributors
Initial release2015201320222011
Current release5.1, August 20221.1, July 2023
License infoCommercial or Open SourcecommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache Version 2.0Open Source infoLGPL
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++GoJava
Server operating systemshostedLinuxLinux
Windows
Linux
Windows
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyes infonumerical, string, blob, geometry, boolean, timestampInteger, Float, Boolean, Stringnumeric data for metrics, strings for tags
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.nononono
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query languageno
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
HTTP RESTHTTP API
Telnet API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
Erlang
Go
Java
Python
R
Ruby
Server-side scripts infoStored proceduresnononono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replicationyesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
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 within container, eventual consistency across containersImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACID at container levelnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users can be defined per databaseAdministrators and common users accountsno

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More resources
Google Cloud BigtableGridDBopenGeminiOpenTSDB
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