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DBMS > Badger vs. DolphinDB vs. GeoSpock vs. Microsoft Azure Synapse Analytics vs. MySQL

System Properties Comparison Badger vs. DolphinDB vs. GeoSpock vs. Microsoft Azure Synapse Analytics vs. MySQL

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDolphinDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonMySQL  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.DolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Spatial and temporal data processing engine for extreme data scaleElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerWidely used open source RDBMS
Primary database modelKey-value storeTime Series DBMS
Vector DBMS
Relational DBMSRelational DBMSRelational DBMS infoKey/Value like access via memcached API
Secondary database modelsRelational DBMSTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#328  Overall
#48  Key-value stores
Score2.72
Rank#100  Overall
#8  Time Series DBMS
#5  Vector DBMS
Score18.98
Rank#31  Overall
#19  Relational DBMS
Score1029.49
Rank#2  Overall
#2  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.dolphindb.comgeospock.comazure.microsoft.com/­services/­synapse-analyticswww.mysql.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.dolphindb.cn/­en/­help200/­index.htmldocs.microsoft.com/­azure/­synapse-analyticsdev.mysql.com/­doc
DeveloperDGraph LabsDolphinDB, IncGeoSpockMicrosoftOracle infosince 2010, originally MySQL AB, then Sun
Initial release2017201820161995
Current releasev2.00.4, January 20222.0, September 20199.0.0, July 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree community version availablecommercialcommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are available
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++Java, JavascriptC++C and C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
Windows
hostedhostedFreeBSD
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nonononoyes
Secondary indexesnoyestemporal, categoricalyesyes
SQL infoSupport of SQLnoSQL-like query languageANSI SQL for query only (using Presto)yesyes infowith proprietary extensions
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
JDBCADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesGoC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#
Java
PHP
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyesnoTransact SQLyes infoproprietary syntax
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningAutomatic shardingSharding, horizontal partitioninghorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnoACIDACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlnoAdministrators, Users, GroupsAccess rights for users can be defined per tableyesUsers with fine-grained authorization concept infono user groups or roles

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More resources
BadgerDolphinDBGeoSpockMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMySQL
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