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DBMS > Google Cloud Bigtable vs. Realm vs. TDengine vs. TinkerGraph

System Properties Comparison Google Cloud Bigtable vs. Realm vs. TDengine vs. TinkerGraph

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonRealm  Xexclude from comparisonTDengine  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.A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataTime Series DBMS and big data platformA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelKey-value store
Wide column store
Document storeTime Series DBMSGraph DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score7.41
Rank#52  Overall
#8  Document stores
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websitecloud.google.com/­bigtablerealm.iogithub.com/­taosdata/­TDengine
tdengine.com
tinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationcloud.google.com/­bigtable/­docsrealm.io/­docsdocs.tdengine.com
DeveloperGoogleRealm, acquired by MongoDB in May 2019TDEngine, previously Taos Data
Initial release2015201420192009
Current release3.0, August 2022
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoAGPL V3, also commercial editions availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava
Server operating systemshostedAndroid
Backend: server-less
iOS
Windows
Linux
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesnoyesnono
SQL infoSupport of SQLnonoStandard SQL with extensions for time-series applicationsno
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
RESTful HTTP API
TinkerPop 3
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
Java infowith Android only
Objective-C
React Native
Swift
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Groovy
Java
Server-side scripts infoStored proceduresnono inforuns within the applications so server-side scripts are unnecessarynono
Triggersnoyes infoChange Listenersyes, via alarm monitoringno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesnoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistencynone
Foreign keys infoReferential integritynononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesno
Durability infoSupport for making data persistentyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoIn-Memory realmyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yesyesno
More information provided by the system vendor
Google Cloud BigtableRealmTDengineTinkerGraph
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
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