DBMS > DolphinDB vs. RavenDB vs. SAP Advantage Database Server vs. Transwarp StellarDB

System Properties Comparison DolphinDB vs. RavenDB vs. SAP Advantage Database Server vs. Transwarp StellarDB

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Editorial information provided by DB-Engines
Name	DolphinDB  Xexclude from comparison	RavenDB  Xexclude from comparison	SAP Advantage Database Server former name: Sybase ADS  Xexclude from comparison	Transwarp StellarDB  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.	Open Source Operational and Transactional Enterprise NoSQL Document Database	Low-cost RDBMS with access to ISAM and FoxPro data structures	A distributed graph DBMS built for enterprise-level graph applications
Primary database model	Time Series DBMS	Document store	Relational DBMS	Graph DBMS
Secondary database models	Relational DBMS	Graph DBMS Spatial DBMS Time Series DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 4.03 Rank #78   Overall #6   Time Series DBMS	Score 2.84 Rank #101   Overall #18   Document stores		Score 0.07 Rank #371   Overall #39   Graph DBMS
Website	www.dolphindb.com	ravendb.net	www.sap.com/products/advantage-database-server.html	www.transwarp.cn/­en/­product/­stellardb
Technical documentation	docs.dolphindb.cn/­en/­help200/­index.html	ravendb.net/­docs
Developer	DolphinDB, Inc	Hibernating Rhinos	Sybase, SAP	Transwarp
Initial release	2018	2010	1993
Current release	v2.00.4, January 2022	5.4, July 2022
License Commercial or Open Source	commercial free community version available	Open Source AGPL version 3, commercial license available	commercial	commercial
Cloud-based only Only available as a cloud service	no	no	no	no
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Implementation language	C++	C#
Server operating systems	Linux Windows	Linux macOS Raspberry Pi Windows	Linux Windows
Data scheme	yes	schema-free	yes
Typing predefined data types such as float or date	yes	no	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
Secondary indexes	yes	yes	yes
SQL Support of SQL	SQL-like query language	SQL-like query language (RQL)	yes	SQL-like query language
APIs and other access methods	JDBC JSON over HTTP Kafka MQTT (Message Queue Telemetry Transport) ODBC OPC DA OPC UA RabbitMQ WebSocket	.NET Client API F# Client API Go Client API Java Client API NodeJS Client API PHP Client API Python Client API RESTful HTTP API	.NET Client API ADO.NET JDBC ODBC OLE DB	OpenCypher
Supported programming languages	C# C++ Go Java JavaScript MatLab Python R Rust	.Net C# F# Go Java JavaScript (Node.js) PHP Python Ruby	Delphi Perl PHP
Server-side scripts Stored procedures	yes	yes	yes
Triggers	no	yes	yes
Partitioning methods Methods for storing different data on different nodes	horizontal partitioning	Sharding	none	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	yes	Multi-source replication	Multi-source replication CONFLICT Trigger to resolve replication conflicts Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	yes	yes	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.	Immediate Consistency
Foreign keys Referential integrity	no	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	yes	ACID, Cluster-wide transaction available	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 caching of (temporary) tables can be configured
User concepts Access control	Administrators, Users, Groups	Authorization levels configured per client per database	fine grained access rights according to SQL-standard	yes
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More resources
	DolphinDB	RavenDB	SAP Advantage Database Server former name: Sybase ADS	Transwarp StellarDB
Recent citations in the news		RavenDB Launches Version 6.0 Lightning Fast Queries, Data Integrations, Corax Indexing Engine, and Sharding 3 October 2023, PR Newswire Install the NoSQL RavenDB Data System 14 May 2021, The New Stack RavenDB Adds Graph Queries 15 May 2019, Datanami RavenDB Welcomes David Baruc as Chief Revenue Officer: Seasoned Tech Leader to Drive Global Sales and ... 13 June 2023, PR Newswire Review: NoSQL database RavenDB 20 March 2019, TechGenix 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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