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DBMS > Dragonfly vs. Google Cloud Spanner vs. Microsoft Azure SQL Database vs. TDSQL for MySQL vs. TimesTen

System Properties Comparison Dragonfly vs. Google Cloud Spanner vs. Microsoft Azure SQL Database vs. TDSQL for MySQL vs. TimesTen

Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceA 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.Database as a Service offering with high compatibility to Microsoft SQL ServerA 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.In-Memory RDBMS compatible to Oracle
Primary database modelKey-value storeRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#261  Overall
#38  Key-value stores
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score0.85
Rank#207  Overall
#97  Relational DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
cloud.google.com/­spannerazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.tencentcloud.com/­products/­dcdbwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationwww.dragonflydb.io/­docscloud.google.com/­spanner/­docsdocs.microsoft.com/­en-us/­azure/­azure-sqlwww.tencentcloud.com/­document/­product/­1042docs.oracle.com/­database/­timesten-18.1
DeveloperDragonflyDB team and community contributorsGoogleMicrosoftTencentOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20232017201020131998
Current release1.0, March 2023V1211 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoBSL 1.1commercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++
Server operating systemsLinuxhostedhostedhostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemescheme-freeyesyesyesyes
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesyesyesyes
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.nonoyesnono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyes infoQuery statements complying to ANSI 2011yesyesyes
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
ADO.NET
JDBC
ODBC
JDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
Go
Java
JavaScript (Node.js)
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Java
PHP
Python
Ruby
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresLuanoTransact SQLyesPL/SQL
Triggerspublish/subscribe channels provide some trigger functionalitynoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication with 3 replicas for regional instances.yes, with always 3 replicas availableMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsACID infoStrict serializable isolationACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlPassword-based authenticationAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

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More resources
DragonflyGoogle Cloud SpannerMicrosoft Azure SQL Database infoformerly SQL AzureTDSQL for MySQLTimesTen
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