DBMS > Amazon DocumentDB vs. DolphinDB vs. Lovefield vs. SAP Advantage Database Server

System Properties Comparison Amazon DocumentDB vs. DolphinDB vs. Lovefield vs. SAP Advantage Database Server

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Editorial information provided by DB-Engines
Name	Amazon DocumentDB  Xexclude from comparison	DolphinDB  Xexclude from comparison	Lovefield  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	Fast, scalable, highly available, and fully managed MongoDB-compatible database service	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.	Embeddable relational database for web apps written in pure JavaScript	Low-cost RDBMS with access to ISAM and FoxPro data structures
Primary database model	Document store	Time Series DBMS	Relational DBMS	Relational DBMS
Secondary database models		Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 1.91 Rank #131   Overall #24   Document stores	Score 4.03 Rank #78   Overall #6   Time Series DBMS	Score 0.33 Rank #286   Overall #131   Relational DBMS
Website	aws.amazon.com/­documentdb	www.dolphindb.com	google.github.io/­lovefield	www.sap.com/products/advantage-database-server.html
Technical documentation	aws.amazon.com/­documentdb/­resources	docs.dolphindb.cn/­en/­help200/­index.html	github.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
Developer		DolphinDB, Inc	Google	Sybase, SAP
Initial release	2019	2018	2014	1993
Current release		v2.00.4, January 2022	2.1.12, February 2017
License Commercial or Open Source	commercial	commercial free community version available	Open Source Apache 2.0	commercial
Cloud-based only Only available as a cloud service	yes	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language		C++	JavaScript
Server operating systems	hosted	Linux Windows	server-less, requires a JavaScript environment (browser, Node.js) tested with Chrome, Firefox, IE, Safari	Linux Windows
Data scheme	schema-free	yes	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	yes	yes	yes
SQL Support of SQL	no	SQL-like query language	SQL-like query language via JavaScript builder pattern	yes
APIs and other access methods	proprietary protocol using JSON (MongoDB compatible)	JDBC JSON over HTTP Kafka MQTT (Message Queue Telemetry Transport) ODBC OPC DA OPC UA RabbitMQ WebSocket		.NET Client API ADO.NET JDBC ODBC OLE DB
Supported programming languages	Go Java JavaScript (Node.js) PHP Python	C# C++ Go Java JavaScript MatLab Python R Rust	JavaScript	Delphi Perl PHP
Server-side scripts Stored procedures	no	yes	no	yes
Triggers	no	no	Using read-only observers	yes
Partitioning methods Methods for storing different data on different nodes	none	horizontal partitioning	none	none
Replication methods Methods for redundantly storing data on multiple nodes	Multi-availability zones for high availability, asynchronous replication for up to 15 read replicas	yes	none	Multi-source replication CONFLICT Trigger to resolve replication conflicts Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	no may be implemented via Amazon Elastic MapReduce (Amazon EMR)	yes	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Immediate Consistency		Immediate Consistency
Foreign keys Referential integrity	no typically not used, however similar functionality with DBRef possible	no	yes	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic single-document operations	yes	ACID	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes, by using IndexedDB or the cloud service Firebase Realtime Database	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.		yes	yes using MemoryDB	no caching of (temporary) tables can be configured
User concepts Access control	Access rights for users and roles	Administrators, Users, Groups	no	fine grained access rights according to SQL-standard
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More resources
	Amazon DocumentDB	DolphinDB	Lovefield	SAP Advantage Database Server former name: Sybase ADS
Recent citations in the news	A hybrid approach for homogeneous migration to an Amazon DocumentDB elastic cluster | Amazon Web Services 4 June 2024, AWS Blog AWS announces Amazon DocumentDB zero-ETL integration with Amazon OpenSearch Service 16 May 2024, AWS Blog Use LangChain and vector search on Amazon DocumentDB to build a generative AI chatbot | Amazon Web Services 20 May 2024, AWS Blog Vector search for Amazon DocumentDB (with MongoDB compatibility) is now generally available | Amazon Web Services 29 November 2023, AWS Blog AWS announces Amazon DocumentDB I/O-Optimized 21 November 2023, AWS Blog provided by Google News		Kagiso interactive shares: all eyes on android at google I/O 11 May 2015, WhaTech 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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