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DBMS > Lovefield vs. Prometheus vs. Quasardb vs. Spark SQL

System Properties Comparison Lovefield vs. Prometheus vs. Quasardb vs. Spark SQL

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Editorial information provided by DB-Engines
NameLovefield  Xexclude from comparisonPrometheus  Xexclude from comparisonQuasardb  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionEmbeddable relational database for web apps written in pure JavaScriptOpen-source Time Series DBMS and monitoring systemDistributed, high-performance timeseries databaseSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitegoogle.github.io/­lovefieldprometheus.ioquasar.aispark.apache.org/­sql
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdprometheus.io/­docsdoc.quasar.ai/­masterspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperGooglequasardbApache Software Foundation
Initial release2014201520092014
Current release2.1.12, February 20173.14.1, January 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen 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 languageJavaScriptGoC++Scala
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesNumeric data onlyyes infointeger and binaryyes
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.nono infoImport of XML data possiblenono
Secondary indexesyesnoyes infowith tagsno
SQL infoSupport of SQLSQL-like query language infovia JavaScript builder patternnoSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP/JSON APIHTTP APIJDBC
ODBC
Supported programming languagesJavaScript.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Java
Python
R
Scala
Server-side scripts infoStored proceduresnononono
TriggersUsing read-only observersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoconsistent hashingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoby FederationSource-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDBnoyes infoTransient modeno
User concepts infoAccess controlnonoCryptographically strong user authentication and audit trailno

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LovefieldPrometheusQuasardbSpark SQL
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