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DBMS > Google Cloud Spanner vs. Milvus vs. TinkerGraph vs. Trafodion

System Properties Comparison Google Cloud Spanner vs. Milvus vs. TinkerGraph vs. Trafodion

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonMilvus  Xexclude from comparisonTinkerGraph  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
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.A DBMS designed for efficient storage of vector data and vector similarity searchesA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APITransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSVector DBMSGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.69
Rank#101  Overall
#51  Relational DBMS
Score3.01
Rank#89  Overall
#4  Vector DBMS
Score0.08
Rank#345  Overall
#34  Graph DBMS
Websitecloud.google.com/­spannermilvus.iotinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlintrafodion.apache.org
Technical documentationcloud.google.com/­spanner/­docsmilvus.io/­docs/­overview.mdtrafodion.apache.org/­documentation.html
DeveloperGoogleApache Software Foundation, originally developed by HP
Initial release2017201920092014
Current release2.4.4, May 20242.3.0, February 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageC++, GoJavaC++, Java
Server operating systemshostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringyesyes
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 indexesyesnonoyes
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011nonoyes
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
RESTful HTTP APITinkerPop 3ADO.NET
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
C++
Go
Java
JavaScript (Node.js)
Python
Groovy
Java
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnononoJava Stored Procedures
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.noneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
noneImmediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
Durability infoSupport for making data persistentyesyesoptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role based access control and fine grained access rightsnofine grained access rights according to SQL-standard
More information provided by the system vendor
Google Cloud SpannerMilvusTinkerGraphTrafodion
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
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Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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More resources
Google Cloud SpannerMilvusTinkerGraphTrafodion
DB-Engines blog posts

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

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Unit testing Apache TinkerPop transactions: From TinkerGraph to Amazon Neptune
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Simple Deployment of a Graph Database: JanusGraph
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Introducing Gremlin query hints for Amazon Neptune
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