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DBMS > Google Cloud Spanner vs. Heroic vs. Qdrant vs. TDSQL for MySQL

System Properties Comparison Google Cloud Spanner vs. Heroic vs. Qdrant vs. TDSQL for MySQL

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonHeroic  Xexclude from comparisonQdrant  Xexclude from comparisonTDSQL for MySQL  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.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA high-performance vector database with neural network or semantic-based matchingA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelRelational DBMSTime Series DBMSVector DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.69
Rank#101  Overall
#51  Relational DBMS
Score0.13
Rank#335  Overall
#29  Time Series DBMS
Score1.53
Rank#145  Overall
#7  Vector DBMS
Score0.96
Rank#192  Overall
#88  Relational DBMS
Websitecloud.google.com/­spannergithub.com/­spotify/­heroicgithub.com/­qdrant/­qdrant
qdrant.tech
www.tencentcloud.com/­products/­dcdb
Technical documentationcloud.google.com/­spanner/­docsspotify.github.io/­heroicqdrant.tech/­documentationwww.tencentcloud.com/­document/­product/­1042
DeveloperGoogleSpotifyQdrantTencent
Initial release2017201420212013
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaRust
Server operating systemshostedDocker
Linux
macOS
Windows
hosted
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesNumbers, Strings, Geo, Booleanyes
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 indexesyesyes infovia Elasticsearchyes infoKeywords, numberic ranges, geo, full-textyes
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
HQL (Heroic Query Language, a JSON-based language)
HTTP API
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.yesCollection-level replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency, tunable consistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Key-based authenticationUsers with fine-grained authorization concept

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More resources
Google Cloud SpannerHeroicQdrantTDSQL for MySQL
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