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DBMS > Badger vs. DolphinDB vs. ITTIA vs. Microsoft Azure Synapse Analytics

System Properties Comparison Badger vs. DolphinDB vs. ITTIA vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDolphinDB  Xexclude from comparisonITTIA  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
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.Edge Time Series DBMS with Real-Time Stream ProcessingElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelKey-value storeTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score0.39
Rank#273  Overall
#24  Time Series DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.dolphindb.comwww.ittia.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.dolphindb.cn/­en/­help200/­index.htmldocs.microsoft.com/­azure/­synapse-analytics
DeveloperDGraph LabsDolphinDB, IncITTIA L.L.C.Microsoft
Initial release2017201820072016
Current releasev2.00.4, January 20228.7
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree community version availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++C and C++C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
Windows
Linux
Windows
hosted
Data schemeschema-freeyesFixed schemayes
Typing infopredefined data types such as float or datenoyesFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Intervalyes
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 indexesnoyesyesyes
SQL infoSupport of SQLnoSQL-like query languageyesyes
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
JDBC
ODBC
RESTful HTTP API
WebSocket
ADO.NET
JDBC
ODBC
Supported programming languagesGoC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C
C++
JavaScript (Node.js)
Python
C#
Java
PHP
Server-side scripts infoStored proceduresnoyesyesTransact SQL
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno 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 datanoyesyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.noyesyes
User concepts infoAccess controlnoAdministrators, Users, GroupsDatabase file passwordsyes

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More resources
BadgerDolphinDBITTIAMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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