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DBMS > Google Cloud Datastore vs. TDengine

System Properties Comparison Google Cloud Datastore vs. TDengine

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Our visitors often compare Google Cloud Datastore and TDengine with TimescaleDB, Elasticsearch and Cassandra.

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformTime Series DBMS and big data platform
Primary database modelDocument storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.87
Rank#78  Overall
#12  Document stores
Score2.63
Rank#116  Overall
#9  Time Series DBMS
Websitecloud.google.com/­datastoregithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationcloud.google.com/­datastore/­docsdocs.tdengine.com
DeveloperGoogleTDEngine, previously Taos Data
Initial release20082019
Current release3.0, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC
Server operating systemshostedLinux
Windows
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateyes, details hereyes
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.nono
Secondary indexesyesno
SQL infoSupport of SQLSQL-like query language (GQL)Standard SQL with extensions for time-series applications
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
RESTful HTTP API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresusing Google App Engineno
TriggersCallbacks using the Google Apps Engineyes, via alarm monitoring
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 Dataflow
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 pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of Transactions
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes
More information provided by the system vendor
Google Cloud DatastoreTDengine
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 22,000 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

Monitor Your TDengine Deployment with TDinsight
25 January 2024

Unlock the Value of Your Data with Power BI
23 January 2024

Nevados Streamlines Solar Tracker Data Operations with TDengine
10 January 2024

TDengine 3.2.2.0 Release Notes
2 January 2024

TDengine Selected by Frost & Sullivan as Global Leader in Industrial Data Management
22 December 2023

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Google Cloud DatastoreTDengine
Recent citations in the news

Google says it'll stop charging fees to transfer data out of Google Cloud
11 January 2024, Yahoo Finance Australia

Google Cloud is NOT magicking away data egress fees
12 January 2024, The Stack

3 Useful tips for using Google Cloud Datastore.
21 August 2018, hackernoon.com

NetApp Cloud Volumes Service datastore support for Google Cloud VMware Engine
7 February 2023, netapp.com

Google Cloud Datastore has Monday meltdown, tips other services over • DEVCLASS
11 November 2019, DevClass

provided by Google News

Startups of the Year 2023: TDengine - A Open-Source Time-Series Database
17 August 2023, hackernoon.com

TDengine named Top Global Industrial Data Management Solution
4 January 2024, IT Brief Australia

TDengine debuts cloud-based time-series data processing platform for IoT deployments
20 September 2022, SiliconANGLE News

New TDengine Benchmark Results Show Up to 37.0x Higher Query Performance Than InfluxDB and TimescaleDB
28 February 2023, GlobeNewswire

TDengine Brings Open Source Time-Series Database to Kubernetes
23 August 2022, Cloud Native Now

provided by Google News



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