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DBMS > Badger vs. Datomic vs. DolphinDB vs. Microsoft Azure Synapse Analytics vs. TDSQL for MySQL

System Properties Comparison Badger vs. Datomic vs. DolphinDB vs. Microsoft Azure Synapse Analytics vs. TDSQL for MySQL

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDatomic  Xexclude from comparisonDolphinDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityDolphinDB 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.Elastic, large scale data warehouse service leveraging the broad eco-system of 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.
Primary database modelKey-value storeRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.datomic.comwww.dolphindb.comazure.microsoft.com/­services/­synapse-analyticswww.tencentcloud.com/­products/­dcdb
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.datomic.comdocs.dolphindb.cn/­en/­help200/­index.htmldocs.microsoft.com/­azure/­synapse-analyticswww.tencentcloud.com/­document/­product/­1042
DeveloperDGraph LabsCognitectDolphinDB, IncMicrosoftTencent
Initial release20172012201820162013
Current release1.0.6735, June 2023v2.00.4, January 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infolimited edition freecommercial infofree community version availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava, ClojureC++C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux
Windows
hostedhosted
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.nonononono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnonoSQL-like query languageyesyes
APIs and other access methodsRESTful HTTP APIJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
ADO.NET
JDBC
ODBC
JDBC
ODBC
Supported programming languagesGoClojure
Java
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#
Java
PHP
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes infoTransaction FunctionsyesTransact SQLyes
TriggersnoBy using transaction functionsnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peershorizontal partitioningSharding, horizontal partitioningAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoBut extensive use of caching in the application peersyesyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
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-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyesno
User concepts infoAccess controlnonoAdministrators, Users, GroupsyesUsers with fine-grained authorization concept

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More resources
BadgerDatomicDolphinDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTDSQL for MySQL
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