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DBMS > Google Cloud Bigtable vs. TDengine vs. Weaviate

System Properties Comparison Google Cloud Bigtable vs. TDengine vs. Weaviate

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonTDengine  Xexclude from comparisonWeaviate  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.Time Series DBMS and big data platformAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelKey-value store
Wide column store
Time Series DBMSVector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.67
Rank#95  Overall
#15  Key-value stores
#6  Wide column stores
Score1.76
Rank#127  Overall
#10  Time Series DBMS
Score1.58
Rank#137  Overall
#10  Vector DBMS
Websitecloud.google.com/­bigtablegithub.com/­taosdata/­TDengine
tdengine.com
github.com/­weaviate/­weaviate
weaviate.io
Technical documentationcloud.google.com/­bigtable/­docsdocs.tdengine.comweaviate.io/­developers/­weaviate
DeveloperGoogleTDEngine, previously Taos DataWeaviate B.V.
Initial release201520192019
Current release3.0, August 20221.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoAGPL V3, also commercial editions availableOpen Source infocommercial license available with Weaviate Enterprise
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 languageCGo
Server operating systemshostedLinux
Windows
Data schemeschema-freeyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or datenoyesyes infostring, int, float, geo point, date, cross reference, fuzzy references
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 indexesnonoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnoStandard SQL with extensions for time-series applicationsGraphQL is used as query language
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
RESTful HTTP API
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnonono
Triggersnoyes, via alarm monitoringno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsno
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.noyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yesAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Google Cloud BigtableTDengineWeaviate
Specific characteristicsTDengine™ is a time-series database designed to help traditional industries overcome...
» more
Weaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesHigh Performance at Any Scale: With its distributed scalable architecture that grows...
» more
Flexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosTDengine is purpose-built for Industry 4.0 and the Industrial IoT (IIoT) and particularly...
» more
As a database supporting the development of generative AI and semantic search applications...
» more
Key customersAll companies that have data. ​
» more
Market metricsTDengine has garnered over 23,000 stars on GitHub and is used in over 50 countries...
» more
As of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsTDengine OSS is free, open-source software released under the AGPLv3. TDengine Enterprise...
» more
Weaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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