DBMS > Alibaba Cloud TSDB vs. InfinityDB vs. Microsoft Azure AI Search vs. RDF4J

System Properties Comparison Alibaba Cloud TSDB vs. InfinityDB vs. Microsoft Azure AI Search vs. RDF4J

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	Alibaba Cloud TSDB  Xexclude from comparison	InfinityDB  Xexclude from comparison	Microsoft Azure AI Search  Xexclude from comparison	RDF4J formerly known as Sesame  Xexclude from comparison
Description	A stable, reliable, and cost-effective online high-performance time series database service	A Java embedded Key-Value Store which extends the Java Map interface	Search-as-a-service for web and mobile app development	RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database model	Time Series DBMS	Key-value store	Search engine	RDF store
Secondary database models			Vector DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.29 Rank #301   Overall #26   Time Series DBMS	Score 0.08 Rank #365   Overall #55   Key-value stores	Score 5.52 Rank #59   Overall #6   Search engines	Score 0.74 Rank #222   Overall #9   RDF stores
Website	www.alibabacloud.com/­product/­hitsdb	boilerbay.com	azure.microsoft.com/­en-us/­services/­search	rdf4j.org
Technical documentation	www.alibabacloud.com/­help/­en/­time-series-database/­latest/­what-is-tsdb	boilerbay.com/­infinitydb/­manual	learn.microsoft.com/­en-us/­azure/­search	rdf4j.org/­documentation
Developer	Alibaba	Boiler Bay Inc.	Microsoft	Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release		2002	2015	2004
Current release		4.0	V1
License Commercial or Open Source	commercial	commercial	commercial	Open Source Eclipse Distribution License (EDL), v1.0.
Cloud-based only Only available as a cloud service	yes	no	yes	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language		Java		Java
Server operating systems	hosted	All OS with a Java VM	hosted	Linux OS X Unix Windows
Data scheme	schema-free	yes nested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade	yes	yes RDF Schemas
Typing predefined data types such as float or date	Numeric data and Strings	yes all Java primitives, Date, CLOB, BLOB, huge sparse arrays	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
Secondary indexes	no	no manual creation possible, using inversions based on multi-value capability	yes	yes
SQL Support of SQL	no	no	no	no
APIs and other access methods	HTTP REST	Access via java.util.concurrent.ConcurrentNavigableMap Interface Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)	RESTful HTTP API	Java API RIO RDF Input/Output Sail API SeRQL Sesame RDF Query Language Sesame REST HTTP Protocol SPARQL
Supported programming languages	Java	Java	C# Java JavaScript Python	Java PHP Python
Server-side scripts Stored procedures	no	no	no	yes
Triggers	no	no	no	yes
Partitioning methods Methods for storing different data on different nodes		none	Sharding Implicit feature of the cloud service	none
Replication methods Methods for redundantly storing data on multiple nodes		none	yes Implicit feature of the cloud service	none
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Immediate Consistency READ-COMMITTED or SERIALIZED	Immediate Consistency
Foreign keys Referential integrity	no	no manual creation possible, using inversions based on multi-value capability	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	ACID Optimistic locking for transactions; no isolation for bulk loads	no	ACID Isolation support depends on the API used
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes in-memory storage is supported as well
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no	no	no
User concepts Access control	Access managed on TSDB instance level	no	yes using Azure authentication	no
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
	Alibaba Cloud TSDB	InfinityDB	Microsoft Azure AI Search	RDF4J formerly known as Sesame
Recent citations in the news			Announcing updates to Azure AI Search to help organizations build and scale generative AI applications 4 April 2024, Microsoft Public Preview of Azure OpenAI and AI Search in-app connectors for Logic Apps (Standard) | Azure updates 2 April 2024, Microsoft Microsoft’s Azure AI Search updated with increased storage, vector index size 5 April 2024, InfoWorld From code to production: New ways Azure helps you build transformational AI experiences 21 May 2024, Microsoft Celebrating customers' journeys to AI innovation at Microsoft Build 2024 30 May 2024, Microsoft provided by Google News	GraphDB Goes Open Source 27 January 2020, iProgrammer Ontotext's GraphDB 8.10 Makes Knowledge Graph Experience Faster and Richer 13 June 2019, Markets Insider provided by Google News

Share this page