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DBMS > Dragonfly vs. GBase vs. Google BigQuery vs. Microsoft Azure Synapse Analytics

System Properties Comparison Dragonfly vs. GBase vs. Google BigQuery vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonGBase  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  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 instanceWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Large scale data warehouse service with append-only tablesElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelKey-value storeRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#261  Overall
#38  Key-value stores
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.gbase.cncloud.google.com/­bigqueryazure.microsoft.com/­services/­synapse-analytics
Technical documentationwww.dragonflydb.io/­docscloud.google.com/­bigquery/­docsdocs.microsoft.com/­azure/­synapse-analytics
DeveloperDragonflyDB team and community contributorsGeneral Data Technology Co., Ltd.GoogleMicrosoft
Initial release2023200420102016
Current release1.0, March 2023GBase 8a, GBase 8s, GBase 8c
License infoCommercial or Open SourceOpen Source infoBSL 1.1commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, Java, PythonC++
Server operating systemsLinuxLinuxhostedhosted
Data schemescheme-freeyesyesyes
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesyesyes
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.noyesnono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoStandard with numerous extensionsyesyes
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolADO.NET
C API
JDBC
ODBC
RESTful HTTP/JSON APIADO.NET
JDBC
ODBC
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
C#.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
Java
PHP
Server-side scripts infoStored proceduresLuauser defined functionsuser defined functions infoin JavaScriptTransact SQL
Triggerspublish/subscribe channels provide some trigger functionalityyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningnoneSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsACIDno infoSince BigQuery is designed for querying dataACID
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyesyes
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.yesno
User concepts infoAccess controlPassword-based authenticationyesAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)yes

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More resources
DragonflyGBaseGoogle BigQueryMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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