DBMS > Alibaba Cloud Table Store vs. LeanXcale vs. Lovefield vs. Microsoft Azure AI Search

System Properties Comparison Alibaba Cloud Table Store vs. LeanXcale vs. Lovefield vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
Name	Alibaba Cloud Table Store  Xexclude from comparison	LeanXcale  Xexclude from comparison	Lovefield  Xexclude from comparison	Microsoft Azure AI Search  Xexclude from comparison
Description	A fully managed Wide Column Store for large quantities of semi-structured data with real-time access	A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities	Embeddable relational database for web apps written in pure JavaScript	Search-as-a-service for web and mobile app development
Primary database model	Wide column store	Key-value store Relational DBMS	Relational DBMS	Search engine
Secondary database models				Vector DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.31 Rank #297   Overall #11   Wide column stores	Score 0.36 Rank #280   Overall #40   Key-value stores #129   Relational DBMS	Score 0.33 Rank #286   Overall #131   Relational DBMS	Score 5.52 Rank #59   Overall #6   Search engines
Website	www.alibabacloud.com/­product/­table-store	www.leanxcale.com	google.github.io/­lovefield	azure.microsoft.com/­en-us/­services/­search
Technical documentation	www.alibabacloud.com/­help/­en/­tablestore		github.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md	learn.microsoft.com/­en-us/­azure/­search
Developer	Alibaba	LeanXcale	Google	Microsoft
Initial release	2016	2015	2014	2015
Current release			2.1.12, February 2017	V1
License Commercial or Open Source	commercial	commercial	Open Source Apache 2.0	commercial
Cloud-based only Only available as a cloud service	yes	no	no	yes
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language			JavaScript
Server operating systems	hosted		server-less, requires a JavaScript environment (browser, Node.js) tested with Chrome, Firefox, IE, Safari	hosted
Data scheme	schema-free	yes	yes	yes
Typing predefined data types such as float or date	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
Secondary indexes	no		yes	yes
SQL Support of SQL	no	yes through Apache Derby	SQL-like query language via JavaScript builder pattern	no
APIs and other access methods	HTTP API	JDBC Kafka Connector ODBC proprietary key/value interface Spark Connector		RESTful HTTP API
Supported programming languages	Java Python	C Java Scala	JavaScript	C# Java JavaScript Python
Server-side scripts Stored procedures	no		no	no
Triggers	no		Using read-only observers	no
Partitioning methods Methods for storing different data on different nodes	Sharding Implicit feature of the cloud service		none	Sharding Implicit feature of the cloud service
Replication methods Methods for redundantly storing data on multiple nodes	yes Implicit feature of the cloud service		none	yes Implicit feature of the cloud service
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		Immediate Consistency
Foreign keys Referential integrity	no	yes	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic single-row operations	ACID	ACID	no
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.	no	yes	yes using MemoryDB	no
User concepts Access control	Access rights based on subaccounts and tokens		no	yes using Azure authentication
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More resources
	Alibaba Cloud Table Store	LeanXcale	Lovefield	Microsoft Azure AI Search
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