DBMS > AlaSQL vs. Fujitsu Enterprise Postgres vs. Hawkular Metrics vs. Lovefield

System Properties Comparison AlaSQL vs. Fujitsu Enterprise Postgres vs. Hawkular Metrics vs. Lovefield

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Editorial information provided by DB-Engines
Name	AlaSQL  Xexclude from comparison	Fujitsu Enterprise Postgres  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	Lovefield  Xexclude from comparison
Description	JavaScript DBMS library	Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.	Embeddable relational database for web apps written in pure JavaScript
Primary database model	Document store Relational DBMS	Relational DBMS	Time Series DBMS	Relational DBMS
Secondary database models		Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.51 Rank #256   Overall #40   Document stores #118   Relational DBMS	Score 0.37 Rank #278   Overall #128   Relational DBMS	Score 0.08 Rank #366   Overall #39   Time Series DBMS	Score 0.33 Rank #286   Overall #131   Relational DBMS
Website	alasql.org	www.postgresql.fastware.com	www.hawkular.org	google.github.io/­lovefield
Technical documentation	github.com/­AlaSQL/­alasql	www.postgresql.fastware.com/­product-manuals	www.hawkular.org/­hawkular-metrics/­docs/­user-guide	github.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
Developer	Andrey Gershun & Mathias R. Wulff	PostgreSQL Global Development Group, Fujitsu Australia Software Technology	Community supported by Red Hat	Google
Initial release	2014		2014	2014
Current release		Fujitsu Enterprise Postgres 14, January 2022		2.1.12, February 2017
License Commercial or Open Source	Open Source MIT-License	commercial	Open Source Apache 2.0	Open Source Apache 2.0
Cloud-based only Only available as a cloud service	no	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	JavaScript	C	Java	JavaScript
Server operating systems	server-less, requires a JavaScript environment (browser, Node.js)	Linux Windows	Linux OS X Windows	server-less, requires a JavaScript environment (browser, Node.js) tested with Chrome, Firefox, IE, Safari
Data scheme	schema-free	yes	schema-free	yes
Typing predefined data types such as float or date	no	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	no	yes
SQL Support of SQL	Close to SQL99, but no user access control, stored procedures and host language bindings.	yes	no	SQL-like query language via JavaScript builder pattern
APIs and other access methods	JavaScript API	ADO.NET JDBC native C library ODBC streaming API for large objects	HTTP REST
Supported programming languages	JavaScript	.Net C C++ Delphi Java JavaScript (Node.js) Perl PHP Python Tcl	Go Java Python Ruby	JavaScript
Server-side scripts Stored procedures	no	user defined functions	no	no
Triggers	yes	yes	yes via Hawkular Alerting	Using read-only observers
Partitioning methods Methods for storing different data on different nodes	none	partitioning by range, list and by hash	Sharding based on Cassandra	none
Replication methods Methods for redundantly storing data on multiple nodes	none	Source-replica replication	selectable replication factor based on Cassandra	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	none	Immediate Consistency	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra
Foreign keys Referential integrity	yes	yes	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	yes only for local storage and DOM-storage	ACID	no	ACID
Concurrency Support for concurrent manipulation of data		yes, multi-version concurrency control (MVCC)	yes	yes
Durability Support for making data persistent	yes by using IndexedDB, SQL.JS or proprietary FileStorage	yes	yes	yes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes		no	yes using MemoryDB
User concepts Access control	no	fine grained access rights according to SQL-standard	no	no
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More resources
	AlaSQL	Fujitsu Enterprise Postgres	Hawkular Metrics	Lovefield
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