DBMS > Lovefield vs. Machbase Neo vs. Microsoft Azure Table Storage vs. searchxml

System Properties Comparison Lovefield vs. Machbase Neo vs. Microsoft Azure Table Storage vs. searchxml

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	Lovefield  Xexclude from comparison	Machbase Neo Former name was Infiniflux  Xexclude from comparison	Microsoft Azure Table Storage  Xexclude from comparison	searchxml  Xexclude from comparison
Description	Embeddable relational database for web apps written in pure JavaScript	TimeSeries DBMS for AIoT and BigData	A Wide Column Store for rapid development using massive semi-structured datasets	DBMS for structured and unstructured content wrapped with an application server
Primary database model	Relational DBMS	Time Series DBMS	Wide column store	Native XML DBMS Search engine
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.33 Rank #286   Overall #131   Relational DBMS	Score 0.17 Rank #337   Overall #30   Time Series DBMS	Score 4.04 Rank #77   Overall #6   Wide column stores	Score 0.03 Rank #390   Overall #7   Native XML DBMS #24   Search engines
Website	google.github.io/­lovefield	machbase.com	azure.microsoft.com/­en-us/­services/­storage/­tables	www.searchxml.net/­category/­products
Technical documentation	github.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md	machbase.com/­dbms		www.searchxml.net/­support/­handouts
Developer	Google	Machbase	Microsoft	informationpartners gmbh
Initial release	2014	2013	2012	2015
Current release	2.1.12, February 2017	V8.0, August 2023		1.0
License Commercial or Open Source	Open Source Apache 2.0	commercial free test version available	commercial	commercial
Cloud-based only Only available as a cloud service	no	no	yes	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	JavaScript	C		C++
Server operating systems	server-less, requires a JavaScript environment (browser, Node.js) tested with Chrome, Firefox, IE, Safari	Linux macOS Windows	hosted	Windows
Data scheme	yes	yes	schema-free	schema-free
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	yes
Secondary indexes	yes	yes	no	yes
SQL Support of SQL	SQL-like query language via JavaScript builder pattern	SQL-like query language	no	no
APIs and other access methods		gRPC HTTP REST JDBC MQTT (Message Queue Telemetry Transport) ODBC	RESTful HTTP API	RESTful HTTP API WebDAV XQuery XSLT
Supported programming languages	JavaScript	C C# C++ Go Java JavaScript PHP via ODBC Python R via ODBC Scala	.Net C# C++ Java JavaScript (Node.js) PHP Python Ruby	C++ most other programming languages supported via APIs
Server-side scripts Stored procedures	no	no	no	yes on the application server
Triggers	Using read-only observers	no	no	no
Partitioning methods Methods for storing different data on different nodes	none	Sharding	Sharding Implicit feature of the cloud service	none
Replication methods Methods for redundantly storing data on multiple nodes	none	selectable replication factor	yes implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.	yes sychronisation to multiple collections
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
Foreign keys Referential integrity	yes	no	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	no	optimistic locking	multiple readers, single writer
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes, by using IndexedDB or the cloud service Firebase Realtime Database	no	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes using MemoryDB	yes volatile and lookup table	no	no
User concepts Access control	no	simple password-based access control	Access rights based on private key authentication or shared access signatures	Domain, group and role-based access control at the document level and for application services
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
	Lovefield	Machbase Neo Former name was Infiniflux	Microsoft Azure Table Storage	searchxml
Recent citations in the news			Working with Azure to Use and Manage Data Lakes 7 March 2024, Simplilearn How to Use C# Azure.Data.Tables SDK with Azure Cosmos DB 9 July 2021, hackernoon.com How to use Azure Table storage in .Net 14 January 2019, InfoWorld Quick Guide to Azure Storage Pricing 16 May 2023, DevOps.com How to write data to Azure Table Store with an Azure Function 14 April 2017, Experts Exchange provided by Google News

Share this page