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DBMS > Google Cloud Spanner vs. Qdrant vs. RDFox vs. SingleStore

System Properties Comparison Google Cloud Spanner vs. Qdrant vs. RDFox vs. SingleStore

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonQdrant  Xexclude from comparisonRDFox  Xexclude from comparisonSingleStore infoformer name was MemSQL  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.A high-performance vector database with neural network or semantic-based matchingHigh performance knowledge graph and semantic reasoning engineMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelRelational DBMSVector DBMSGraph DBMS
RDF store
Relational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.69
Rank#101  Overall
#51  Relational DBMS
Score1.53
Rank#145  Overall
#7  Vector DBMS
Score0.22
Rank#305  Overall
#25  Graph DBMS
#15  RDF stores
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websitecloud.google.com/­spannergithub.com/­qdrant/­qdrant
qdrant.tech
www.oxfordsemantic.techwww.singlestore.com
Technical documentationcloud.google.com/­spanner/­docsqdrant.tech/­documentationdocs.oxfordsemantic.techdocs.singlestore.com
DeveloperGoogleQdrantOxford Semantic TechnologiesSingleStore Inc.
Initial release2017202120172013
Current release6.0, Septermber 20228.5, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercial infofree developer edition available
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.
Implementation languageRustC++C++, Go
Server operating systemshostedDocker
Linux
macOS
Windows
Linux
macOS
Windows
Linux info64 bit version required
Data schemeyesschema-freeyes infoRDF schemasyes
Typing infopredefined data types such as float or dateyesNumbers, Strings, Geo, Booleanyesyes
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 indexesyesyes infoKeywords, numberic ranges, geo, full-textyes
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011nonoyes infobut no triggers and foreign keys
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
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
RESTful HTTP API
SPARQL 1.1
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C
Java
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.Collection-level replicationreplication via a shared file systemSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency, tunable consistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Key-based authenticationRoles, resources, and access typesFine grained access control via users, groups and roles

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More resources
Google Cloud SpannerQdrantRDFoxSingleStore infoformer name was MemSQL
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23 July 2024, InfoWorld

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