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DBMS > AlaSQL vs. Apache Drill vs. H2 vs. Spark SQL vs. Yanza

System Properties Comparison AlaSQL vs. Apache Drill vs. H2 vs. Spark SQL vs. Yanza

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonApache Drill  Xexclude from comparisonH2  Xexclude from comparisonSpark SQL  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionJavaScript DBMS librarySchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Spark SQL is a component on top of 'Spark Core' for structured data processingTime Series DBMS for IoT Applications
Primary database modelDocument store
Relational DBMS
Document store
Relational DBMS
Relational DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial 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
Score2.58
Rank#118  Overall
#23  Document stores
#56  Relational DBMS
Score8.14
Rank#50  Overall
#32  Relational DBMS
Score19.56
Rank#34  Overall
#21  Relational DBMS
Websitealasql.orgdrill.apache.orgwww.h2database.comspark.apache.org/­sqlyanza.com
Technical documentationgithub.com/­AlaSQL/­alasqldrill.apache.org/­docswww.h2database.com/­html/­main.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAndrey Gershun & Mathias R. WulffApache Software FoundationThomas MuellerApache Software FoundationYanza
Initial release20142012200520142015
Current release1.20.3, January 20232.2.220, July 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2Open Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptJavaScala
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
All OS with a Java VMLinux
OS X
Windows
Windows
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesno
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.nonononono
Secondary indexesnonoyesnono
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL SELECT statement is SQL:2003 compliantyesSQL-like DML and DDL statementsno
APIs and other access methodsJavaScript APIJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
JDBC
ODBC
HTTP API
Supported programming languagesJavaScriptC++JavaJava
Python
R
Scala
any language that supports HTTP calls
Server-side scripts infoStored proceduresnouser defined functionsJava Stored Procedures and User-Defined Functionsnono
Triggersyesnoyesnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneWith clustering: 2 database servers on different computers operate on identical copies of a databasenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnonenoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageDepending on the underlying data sourceyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesDepending on the underlying data sourceyesno
User concepts infoAccess controlnoDepending on the underlying data sourcefine grained access rights according to SQL-standardnono

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More resources
AlaSQLApache DrillH2Spark SQLYanza
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