DB-EnginesextremeDB - Data management wherever you need itEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > AlaSQL vs. atoti vs. Hawkular Metrics vs. Lovefield

System Properties Comparison AlaSQL vs. atoti vs. Hawkular Metrics vs. Lovefield

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonatoti  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionJavaScript DBMS libraryAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.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 modelDocument store
Relational DBMS
Object oriented DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.42
Rank#264  Overall
#42  Document stores
#122  Relational DBMS
Score0.45
Rank#253  Overall
#13  Object oriented DBMS
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Score0.22
Rank#306  Overall
#138  Relational DBMS
Websitealasql.orgatoti.iowww.hawkular.orggoogle.github.io/­lovefield
Technical documentationgithub.com/­AlaSQL/­alasqldocs.atoti.iowww.hawkular.org/­hawkular-metrics/­docs/­user-guidegithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperAndrey Gershun & Mathias R. WulffActiveViamCommunity supported by Red HatGoogle
Initial release201420142014
Current release2.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoMIT-Licensecommercial infofree versions availableOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptJavaJavaJavaScript
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesnonoyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.Multidimensional Expressions (MDX)noSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsJavaScript APIHTTP REST
Supported programming languagesJavaScriptGo
Java
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresnoPythonnono
Triggersyesyes infovia Hawkular AlertingUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesnoneSharding, horizontal partitioningSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes infousing MemoryDB
User concepts infoAccess controlnonono

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
AlaSQLatotiHawkular MetricsLovefield
Recent citations in the news

HarperDB - How and Why We Built It From The Ground Up on NodeJS
28 February 2021, hackernoon.com

Multi faceted data exploration in the browser using Leaflet and amCharts
3 May 2020, Towards Data Science

provided by Google News

ActiveViam Announces Leadership Succession
4 September 2024, Business Wire

FRTB product of the year: ActiveViam
28 November 2023, Risk.net

provided by Google News

Waiting for Red Hat OpenShift 4.0? Too late, 4.1 has already arrived…
5 June 2019, DevClass

provided by Google News



Share this page

Featured Products

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Present your product here