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DBMS > DolphinDB vs. Manticore Search vs. Microsoft Azure Synapse Analytics vs. Sequoiadb

System Properties Comparison DolphinDB vs. Manticore Search vs. Microsoft Azure Synapse Analytics vs. Sequoiadb

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionDolphinDB 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.Multi-storage database for search, including full-text search.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerNewSQL database with distributed OLTP and SQL
Primary database modelTime Series DBMSSearch engineRelational DBMSDocument store
Relational DBMS
Secondary database modelsRelational DBMSTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Websitewww.dolphindb.commanticoresearch.comazure.microsoft.com/­services/­synapse-analyticswww.sequoiadb.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlmanual.manticoresearch.comdocs.microsoft.com/­azure/­synapse-analyticswww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperDolphinDB, IncManticore SoftwareMicrosoftSequoiadb Ltd.
Initial release2018201720162013
Current releasev2.00.4, January 20226.0, February 2023
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoGPL version 2commercialOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C++C++
Server operating systemsLinux
Windows
FreeBSD
Linux
macOS
Windows
hostedLinux
Data schemeyesFixed schemayesschema-free
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyes infooid, date, timestamp, binary, regex
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.noCan index from XMLnono
Secondary indexesyesyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like query languageyesSQL-like query language
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
ADO.NET
JDBC
ODBC
proprietary protocol using JSON
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C#
Java
PHP
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresyesuser defined functionsTransact SQLJavaScript
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication based on Galera libraryyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono 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 datayesyes infoisolated transactions for atomic changes and binary logging for safe writesACIDDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAdministrators, Users, Groupsnoyessimple password-based access control

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More resources
DolphinDBManticore SearchMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSequoiadb
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