DBMS > Alibaba Cloud TSDB vs. Google Cloud Bigtable vs. RDF4J vs. SAP Advantage Database Server

System Properties Comparison Alibaba Cloud TSDB vs. Google Cloud Bigtable vs. RDF4J vs. SAP Advantage Database Server

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Editorial information provided by DB-Engines
Name	Alibaba Cloud TSDB  Xexclude from comparison	Google Cloud Bigtable  Xexclude from comparison	RDF4J formerly known as Sesame  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	Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.	RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.	Low-cost RDBMS with access to ISAM and FoxPro data structures
Primary database model	Time Series DBMS	Key-value store Wide column store	RDF store	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.29 Rank #301   Overall #26   Time Series DBMS	Score 3.15 Rank #95   Overall #14   Key-value stores #8   Wide column stores	Score 0.74 Rank #222   Overall #9   RDF stores
Website	www.alibabacloud.com/­product/­hitsdb	cloud.google.com/­bigtable	rdf4j.org	www.sap.com/products/advantage-database-server.html
Technical documentation	www.alibabacloud.com/­help/­en/­time-series-database/­latest/­what-is-tsdb	cloud.google.com/­bigtable/­docs	rdf4j.org/­documentation
Developer	Alibaba	Google	Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.	Sybase, SAP
Initial release		2015	2004	1993
License Commercial or Open Source	commercial	commercial	Open Source Eclipse Distribution License (EDL), v1.0.	commercial
Cloud-based only Only available as a cloud service	yes	yes	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language			Java
Server operating systems	hosted	hosted	Linux OS X Unix Windows	Linux Windows
Data scheme	schema-free	schema-free	yes RDF Schemas	yes
Typing predefined data types such as float or date	Numeric data and Strings	no	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	yes	yes
SQL Support of SQL	no	no	no	yes
APIs and other access methods	HTTP REST	gRPC (using protocol buffers) API HappyBase (Python library) HBase compatible API (Java)	Java API RIO RDF Input/Output Sail API SeRQL Sesame RDF Query Language Sesame REST HTTP Protocol SPARQL	.NET Client API ADO.NET JDBC ODBC OLE DB
Supported programming languages	Java	C# C++ Go Java JavaScript (Node.js) Python	Java PHP Python	Delphi Perl PHP
Server-side scripts Stored procedures	no	no	yes	yes
Triggers	no	no	yes	yes
Partitioning methods Methods for storing different data on different nodes		Sharding	none	none
Replication methods Methods for redundantly storing data on multiple nodes		Internal replication in Colossus, and regional replication between two clusters in different zones	none	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	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)		Immediate Consistency
Foreign keys Referential integrity	no	no		yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	Atomic single-row operations	ACID Isolation support depends on the API used	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes in-memory storage is supported as well	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no	no		no caching of (temporary) tables can be configured
User concepts Access control	Access managed on TSDB instance level	Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)	no	fine grained access rights according to SQL-standard
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More resources
	Alibaba Cloud TSDB	Google Cloud Bigtable	RDF4J formerly known as Sesame	SAP Advantage Database Server former name: Sybase ADS
Recent citations in the news		Google's AI-First Strategy Brings Vector Support To Cloud Databases 1 March 2024, Forbes Google Introduces Autoscaling for Cloud Bigtable for Optimizing Costs 31 January 2022, InfoQ.com Google scales up Cloud Bigtable NoSQL database 27 January 2022, TechTarget Review: Google Bigtable scales with ease 7 September 2016, InfoWorld Google Cloud makes it cheaper to run smaller workloads on Bigtable 7 April 2020, TechCrunch 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	SAP Announces Q3 2023 Results: Asia Pacific and Japan View 19 October 2023, SAP News provided by Google News

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