DBMS > Alibaba Cloud TSDB vs. DolphinDB vs. Lovefield vs. Microsoft Azure Data Explorer vs. SAP Advantage Database Server

System Properties Comparison Alibaba Cloud TSDB vs. DolphinDB vs. Lovefield vs. Microsoft Azure Data Explorer vs. SAP Advantage Database Server

Editorial information provided by DB-Engines
Name	Alibaba Cloud TSDB  Xexclude from comparison	DolphinDB  Xexclude from comparison	Lovefield  Xexclude from comparison	Microsoft Azure Data Explorer  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	A stable, reliable, and cost-effective online high-performance time series 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	Fully managed big data interactive analytics platform	Low-cost RDBMS with access to ISAM and FoxPro data structures
Primary database model	Time Series DBMS	Time Series DBMS	Relational DBMS	Relational DBMS column oriented	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
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.29 Rank #301   Overall #26   Time Series DBMS	Score 4.03 Rank #78   Overall #6   Time Series DBMS	Score 0.33 Rank #286   Overall #131   Relational DBMS	Score 3.80 Rank #81   Overall #43   Relational DBMS
Website	www.alibabacloud.com/­product/­hitsdb	www.dolphindb.com	google.github.io/­lovefield	azure.microsoft.com/­services/­data-explorer	www.sap.com/products/advantage-database-server.html
Technical documentation	www.alibabacloud.com/­help/­en/­time-series-database/­latest/­what-is-tsdb	docs.dolphindb.cn/­en/­help200/­index.html	github.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md	docs.microsoft.com/­en-us/­azure/­data-explorer
Developer	Alibaba	DolphinDB, Inc	Google	Microsoft	Sybase, SAP
Initial release		2018	2014	2019	1993
Current release		v2.00.4, January 2022	2.1.12, February 2017	cloud service with continuous releases
License Commercial or Open Source	commercial	commercial free community version available	Open Source Apache 2.0	commercial	commercial
Cloud-based only Only available as a cloud service	yes	no	no	yes	no
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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	hosted	Linux Windows
Data scheme	schema-free	yes	yes	Fixed schema with schema-less datatypes (dynamic)	yes
Typing predefined data types such as float or date	Numeric data and Strings	yes	yes	yes bool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types	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	yes	no
Secondary indexes	no	yes	yes	all fields are automatically indexed	yes
SQL Support of SQL	no	SQL-like query language	SQL-like query language via JavaScript builder pattern	Kusto Query Language (KQL), SQL subset	yes
APIs and other access methods	HTTP REST	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	.NET Client API ADO.NET JDBC ODBC OLE DB
Supported programming languages	Java	C# C++ Go Java JavaScript MatLab Python R Rust	JavaScript	.Net Go Java JavaScript (Node.js) PowerShell Python R	Delphi Perl PHP
Server-side scripts Stored procedures	no	yes	no	Yes, possible languages: KQL, Python, R	yes
Triggers	no	no	Using read-only observers	yes see docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy	yes
Partitioning methods Methods for storing different data on different nodes		horizontal partitioning	none	Sharding Implicit feature of the cloud service	none
Replication methods Methods for redundantly storing data on multiple nodes		yes	none	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	no	yes	no	Spark connector (open source): github.com/­Azure/­azure-kusto-spark	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Immediate Consistency		Eventual Consistency Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	no	yes	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	yes	ACID	no	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes, by using IndexedDB or the cloud service Firebase Realtime Database	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no	yes	yes using MemoryDB	no	no caching of (temporary) tables can be configured
User concepts Access control	Access managed on TSDB instance level	Administrators, Users, Groups	no	Azure Active Directory Authentication	fine grained access rights according to SQL-standard
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More resources
	Alibaba Cloud TSDB	DolphinDB	Lovefield	Microsoft Azure Data Explorer	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 Update records in a Kusto Database (public preview) | Azure updates 20 February 2024, Microsoft Public Preview: Azure Data Explorer connector for Apache Flink | Azure updates 8 January 2024, Microsoft Announcing General Availability to migrate Virtual Network injected Azure Data Explorer Cluster to Private Endpoints ... 5 February 2024, Microsoft Migration of Azure Virtual Network injected Azure Data Explorer cluster to Private Endpoints | Azure updates 4 December 2023, 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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