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DBMS > AlaSQL vs. Heroic vs. LevelDB vs. Spark SQL

System Properties Comparison AlaSQL vs. Heroic vs. LevelDB vs. Spark SQL

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonHeroic  Xexclude from comparisonLevelDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionJavaScript DBMS libraryTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Relational DBMS
Time Series DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.53
Rank#258  Overall
#40  Document stores
#119  Relational DBMS
Score0.63
Rank#242  Overall
#21  Time Series DBMS
Score3.32
Rank#100  Overall
#16  Key-value stores
Score19.56
Rank#34  Overall
#21  Relational DBMS
Websitealasql.orggithub.com/­spotify/­heroicgithub.com/­google/­leveldbspark.apache.org/­sql
Technical documentationgithub.com/­AlaSQL/­alasqlspotify.github.io/­heroicgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAndrey Gershun & Mathias R. WulffSpotifyGoogleApache Software Foundation
Initial release2014201420112014
Current release1.23, February 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache 2.0Open Source infoBSDOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptJavaC++Scala
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Illumos
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesnoyes
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.nononono
Secondary indexesnoyes infovia Elasticsearchnono
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.nonoSQL-like DML and DDL statements
APIs and other access methodsJavaScript APIHQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
Supported programming languagesJavaScriptC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Java
Python
R
Scala
Server-side scripts infoStored proceduresnononono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlnonono

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More resources
AlaSQLHeroicLevelDBSpark SQL
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