DBMS > DolphinDB vs. Microsoft Azure Data Explorer vs. Postgres-XL vs. SAP Advantage Database Server

System Properties Comparison DolphinDB vs. Microsoft Azure Data Explorer vs. Postgres-XL vs. SAP Advantage Database Server

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Editorial information provided by DB-Engines
Name	DolphinDB  Xexclude from comparison	Microsoft Azure Data Explorer  Xexclude from comparison	Postgres-XL  Xexclude from comparison	SAP Advantage Database Server former name: Sybase ADS  Xexclude from comparison
				SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
Description	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.	Fully managed big data interactive analytics platform	Based on PostgreSQL enhanced with MPP and write-scale-out cluster features	Low-cost RDBMS with access to ISAM and FoxPro data structures
Primary database model	Time Series DBMS	Relational DBMS column oriented	Relational DBMS	Relational DBMS
Secondary database models	Relational DBMS	Document store If a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell Event Store this is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps) Spatial DBMS Search engine support for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine Time Series DBMS see docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis	Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 4.03 Rank #78   Overall #6   Time Series DBMS	Score 3.80 Rank #81   Overall #43   Relational DBMS	Score 0.53 Rank #254   Overall #117   Relational DBMS
Website	www.dolphindb.com	azure.microsoft.com/­services/­data-explorer	www.postgres-xl.org	www.sap.com/products/advantage-database-server.html
Technical documentation	docs.dolphindb.cn/­en/­help200/­index.html	docs.microsoft.com/­en-us/­azure/­data-explorer	www.postgres-xl.org/­documentation
Developer	DolphinDB, Inc	Microsoft		Sybase, SAP
Initial release	2018	2019	2014 since 2012, originally named StormDB	1993
Current release	v2.00.4, January 2022	cloud service with continuous releases	10 R1, October 2018
License Commercial or Open Source	commercial free community version available	commercial	Open Source Mozilla public license	commercial
Cloud-based only Only available as a cloud service	no	yes	no	no
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Implementation language	C++		C
Server operating systems	Linux Windows	hosted	Linux macOS	Linux Windows
Data scheme	yes	Fixed schema with schema-less datatypes (dynamic)	yes	yes
Typing predefined data types such as float or date	yes	yes bool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types	yes	yes
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.	no	yes	yes XML type, but no XML query functionality	no
Secondary indexes	yes	all fields are automatically indexed	yes	yes
SQL Support of SQL	SQL-like query language	Kusto Query Language (KQL), SQL subset	yes distributed, parallel query execution	yes
APIs and other access methods	JDBC JSON over HTTP Kafka MQTT (Message Queue Telemetry Transport) ODBC OPC DA OPC UA RabbitMQ WebSocket	Microsoft SQL Server communication protocol (MS-TDS) RESTful HTTP API	ADO.NET JDBC native C library ODBC streaming API for large objects	.NET Client API ADO.NET JDBC ODBC OLE DB
Supported programming languages	C# C++ Go Java JavaScript MatLab Python R Rust	.Net Go Java JavaScript (Node.js) PowerShell Python R	.Net C C++ Delphi Erlang Java JavaScript (Node.js) Perl PHP Python Tcl	Delphi Perl PHP
Server-side scripts Stored procedures	yes	Yes, possible languages: KQL, Python, R	user defined functions	yes
Triggers	no	yes see docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy	yes	yes
Partitioning methods Methods for storing different data on different nodes	horizontal partitioning	Sharding Implicit feature of the cloud service	horizontal partitioning	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes Implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.		Multi-source replication CONFLICT Trigger to resolve replication conflicts Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	yes	Spark connector (open source): github.com/­Azure/­azure-kusto-spark	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Eventual Consistency Immediate Consistency	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	no	yes	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	yes	no	ACID MVCC	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	no	no	no caching of (temporary) tables can be configured
User concepts Access control	Administrators, Users, Groups	Azure Active Directory Authentication	fine grained access rights according to SQL-standard	fine grained access rights according to SQL-standard
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More resources
	DolphinDB	Microsoft Azure Data Explorer	Postgres-XL	SAP Advantage Database Server former name: Sybase ADS
Recent citations in the news		We’re retiring Azure Time Series Insights on 7 July 2024 – transition to Azure Data Explorer | Azure updates 31 May 2024, Microsoft Azure Data Explorer: Log and telemetry analytics benchmark 16 August 2022, Microsoft Controlling costs in Azure Data Explorer using down-sampling and aggregation 11 February 2019, Microsoft Providing modern data transfer and storage service at Microsoft with Microsoft Azure - Inside Track Blog 13 July 2023, Microsoft Individually great, collectively unmatched: Announcing updates to 3 great Azure Data Services 7 February 2019, Microsoft provided by Google News		SAP Announces Q3 2023 Results: Asia Pacific and Japan View 19 October 2023, SAP News provided by Google News

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