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DBMS > Google Cloud Spanner vs. Kdb vs. Weaviate

System Properties Comparison Google Cloud Spanner vs. Kdb vs. Weaviate

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonKdb  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.High performance Time Series DBMSAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSTime Series DBMS
Vector DBMS
Vector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.56
Rank#97  Overall
#50  Relational DBMS
Score6.49
Rank#53  Overall
#2  Time Series DBMS
#4  Vector DBMS
Score1.86
Rank#123  Overall
#11  Vector DBMS
Websitecloud.google.com/­spannerkx.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationcloud.google.com/­spanner/­docscode.kx.comweaviate.io/­developers/­weaviate
DeveloperGoogleKx Systems, a division of First Derivatives plcWeaviate B.V.
Initial release20172000 infokdb was released 2000, kdb+ in 20032019
Current release3.6, May 20181.19, May 2023
License infoCommercial or Open Sourcecommercialcommercial infofree 32-bit versionOpen 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 languageqGo
Server operating systemshostedLinux
OS X
Solaris
Windows
Data schemeyesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyes 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.noyesno
Secondary indexesyesyes infotable attribute 'grouped'yes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011SQL-like query language (q)GraphQL is used as query language
APIs and other access methodsgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersnoyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.Source-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowno infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationnono
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.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)rights management via user accountsAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Google Cloud SpannerKdbWeaviate
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
» more
Key customersAll companies that have data. ​
» more
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsWeaviate 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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More resources
Google Cloud SpannerKdbWeaviate
DB-Engines blog posts

Weaviate, an ANN Database with CRUD support
2 February 2021,  Etienne Dilocker, SeMI Technologies (sponsor) 

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Recent citations in the news

Google Releases Spanner Graph into General Availability
19 February 2025, infoq.com

New features make Google's Spanner a database for AI
1 August 2024, TechTarget

Google Cloud Spanner gets dual-region configuration option
23 July 2024, InfoWorld

Google Cloud expands its database portfolio with new AI capabilities
1 August 2024, TechCrunch

Google Cloud Introduces HDD Tier for Spanner Database, Cutting Cold Storage Costs by 80%
22 March 2025, infoq.com

provided by Google News

KX Supercharges Python Workloads with kdb+ Speed and AI/ML Library Integration
12 November 2024, Business Wire

Introducing Amazon FinSpace with Managed kdb Insights, a fully managed analytics engine, commonly used by capital markets customers for analysis of real-time and historical time series data
18 May 2023, Amazon Web Services (AWS)

McLaren Applied and KX partner to enhance ATLAS software analytics capabilities
9 August 2023, Professional Motorsport World

KX BRINGS THE POWER AND PERFORMANCE OF KDB+ TO PYTHON DEVELOPERS WITH PYKX
7 June 2023, PR Newswire

Turbocharging the Engine: KX Unleashes AI-First Transformation with kdb+
28 February 2024, Business Wire

provided by Google News

Learn how Oracle tops Weaviate for vector search scalability, availability
18 March 2025, Oracle

Weaviate unveils three AI vector database agents
6 March 2025, Blocks and Files

Video: How Weaviate Is Revolutionizing Search With AI
5 March 2025, Channel Insider

Weaviate adds agents to its tech stack to ease gen AI app development
11 March 2025, InfoWorld

Weaviate Researchers Introduce Function Calling for LLMs: Eliminating SQL Dependency to Improve Database Querying Accuracy and Efficiency
7 February 2025, MarkTechPost

provided by Google News



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