DBMS > DolphinDB vs. Microsoft Azure Table Storage vs. Postgres-XL vs. SAP Advantage Database Server

System Properties Comparison DolphinDB vs. Microsoft Azure Table Storage vs. Postgres-XL vs. SAP Advantage Database Server

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	DolphinDB  Xexclude from comparison	Microsoft Azure Table Storage  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.	A Wide Column Store for rapid development using massive semi-structured datasets	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	Wide column store	Relational DBMS	Relational DBMS
Secondary database models	Relational DBMS		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 4.04 Rank #77   Overall #6   Wide column stores	Score 0.53 Rank #254   Overall #117   Relational DBMS
Website	www.dolphindb.com	azure.microsoft.com/­en-us/­services/­storage/­tables	www.postgres-xl.org	www.sap.com/products/advantage-database-server.html
Technical documentation	docs.dolphindb.cn/­en/­help200/­index.html		www.postgres-xl.org/­documentation
Developer	DolphinDB, Inc	Microsoft		Sybase, SAP
Initial release	2018	2012	2014 since 2012, originally named StormDB	1993
Current release	v2.00.4, January 2022		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
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	C++		C
Server operating systems	Linux Windows	hosted	Linux macOS	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	yes XML type, but no XML query functionality	no
Secondary indexes	yes	no	yes	yes
SQL Support of SQL	SQL-like query language	no	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	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 C# C++ Java JavaScript (Node.js) PHP Python Ruby	.Net C C++ Delphi Erlang Java JavaScript (Node.js) Perl PHP Python Tcl	Delphi Perl PHP
Server-side scripts Stored procedures	yes	no	user defined functions	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	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	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 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	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
More information provided by the system vendor We invite representatives of system vendors to contact us for updating and extending the system information, and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.
Related products and services We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
More resources
	DolphinDB	Microsoft Azure Table Storage	Postgres-XL	SAP Advantage Database Server former name: Sybase ADS
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 Quick Guide to Azure Storage Pricing 16 May 2023, DevOps.com 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

Share this page