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DBMS > Google Cloud Datastore vs. TDengine vs. TigerGraph

System Properties Comparison Google Cloud Datastore vs. TDengine vs. TigerGraph

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonTDengine  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformTime Series DBMS and big data platformA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument storeTime Series DBMSGraph DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.34
Rank#76  Overall
#12  Document stores
Score3.21
Rank#106  Overall
#8  Time Series DBMS
Score1.97
Rank#152  Overall
#14  Graph DBMS
Websitecloud.google.com/­datastoregithub.com/­taosdata/­TDengine
tdengine.com
www.tigergraph.com
Technical documentationcloud.google.com/­datastore/­docsdocs.tdengine.comdocs.tigergraph.com
DeveloperGoogleTDEngine, previously Taos Data
Initial release200820192017
Current release3.0, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3, also commercial editions availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++
Server operating systemshostedLinux
Windows
Linux
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyes, details hereyesyes
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.nonono
Secondary indexesyesno
SQL infoSupport of SQLSQL-like query language (GQL)Standard SQL with extensions for time-series applicationsSQL-like query language (GSQL)
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
RESTful HTTP API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
C++
Java
Server-side scripts infoStored proceduresusing Google App Enginenoyes
TriggersCallbacks using the Google Apps Engineyes, via alarm monitoringno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yesRole-based access control
More information provided by the system vendor
Google Cloud DatastoreTDengineTigerGraph
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance: TDengine is purpose-built for handling massive industrial datasets,...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,000 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
News

TDengine Concepts: Client Libraries
30 November 2023

TDengine 3.2.1.0 Release Notes
24 November 2023

Try TDengine in Seconds with DB Mart
27 October 2023

TDengine 3.2.0.0 Release Notes
20 October 2023

Ingesting Data from OPC
29 September 2023

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More resources
Google Cloud DatastoreTDengineTigerGraph
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