DBMS > DolphinDB vs. Microsoft Azure Table Storage vs. SAP Advantage Database Server vs. Yaacomo

System Properties Comparison DolphinDB vs. Microsoft Azure Table Storage vs. SAP Advantage Database Server vs. Yaacomo

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Editorial information provided by DB-Engines
Name	DolphinDB  Xexclude from comparison	Microsoft Azure Table Storage  Xexclude from comparison	SAP Advantage Database Server former name: Sybase ADS  Xexclude from comparison	Yaacomo  Xexclude from comparison
			SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.	Yaacomo seems to be discontinued and is removed 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.	A Wide Column Store for rapid development using massive semi-structured datasets	Low-cost RDBMS with access to ISAM and FoxPro data structures	OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database model	Time Series DBMS	Wide column store	Relational DBMS	Relational DBMS
Secondary database models	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 4.03 Rank #78   Overall #6   Time Series DBMS	Score 4.04 Rank #77   Overall #6   Wide column stores
Website	www.dolphindb.com	azure.microsoft.com/­en-us/­services/­storage/­tables	www.sap.com/products/advantage-database-server.html	yaacomo.com
Technical documentation	docs.dolphindb.cn/­en/­help200/­index.html
Developer	DolphinDB, Inc	Microsoft	Sybase, SAP	Q2WEB GmbH
Initial release	2018	2012	1993	2009
Current release	v2.00.4, January 2022
License Commercial or Open Source	commercial free community version available	commercial	commercial	commercial
Cloud-based only Only available as a cloud service	no	yes	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	C++
Server operating systems	Linux Windows	hosted	Linux Windows	Android Linux Windows
Data scheme	yes	schema-free	yes	yes
Typing predefined data types such as float or date	yes	yes	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	no	no	no
Secondary indexes	yes	no	yes	yes
SQL Support of SQL	SQL-like query language	no	yes	yes
APIs and other access methods	JDBC JSON over HTTP Kafka MQTT (Message Queue Telemetry Transport) ODBC OPC DA OPC UA RabbitMQ WebSocket	RESTful HTTP API	.NET Client API ADO.NET JDBC ODBC OLE DB	JDBC ODBC
Supported programming languages	C# C++ Go Java JavaScript MatLab Python R Rust	.Net C# C++ Java JavaScript (Node.js) PHP Python Ruby	Delphi Perl PHP
Server-side scripts Stored procedures	yes	no	yes
Triggers	no	no	yes	yes
Partitioning methods Methods for storing different data on different nodes	horizontal partitioning	Sharding Implicit feature of the cloud service	none	horizontal partitioning
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	Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	yes	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate 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	optimistic locking	ACID	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 caching of (temporary) tables can be configured	yes
User concepts Access control	Administrators, Users, Groups	Access rights based on private key authentication or shared access signatures	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 Table Storage	SAP Advantage Database Server former name: Sybase ADS	Yaacomo
Recent citations in the news		Working with Azure to Use and Manage Data Lakes 7 March 2024, Simplilearn How to Use C# Azure.Data.Tables SDK with Azure Cosmos DB 9 July 2021, hackernoon.com How to use Azure Table storage in .Net 14 January 2019, InfoWorld Inside Azure File Storage 7 October 2015, Microsoft How to write data to Azure Table Store with an Azure Function 14 April 2017, Experts Exchange 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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