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DBMS > AlaSQL vs. FoundationDB vs. H2 vs. Heroic vs. HugeGraph

System Properties Comparison AlaSQL vs. FoundationDB vs. H2 vs. Heroic vs. HugeGraph

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonFoundationDB  Xexclude from comparisonH2  Xexclude from comparisonHeroic  Xexclude from comparisonHugeGraph  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionJavaScript DBMS libraryOrdered key-value store. Core features are complimented by layers.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA fast-speed and highly-scalable Graph DBMS
Primary database modelDocument store
Relational DBMS
Document store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSTime Series DBMSGraph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Websitealasql.orggithub.com/­apple/­foundationdbwww.h2database.comgithub.com/­spotify/­heroicgithub.com/­hugegraph
hugegraph.apache.org
Technical documentationgithub.com/­AlaSQL/­alasqlapple.github.io/­foundationdbwww.h2database.com/­html/­main.htmlspotify.github.io/­heroichugegraph.apache.org/­docs
DeveloperAndrey Gershun & Mathias R. WulffFoundationDBThomas MuellerSpotifyBaidu
Initial release20142013200520142018
Current release6.2.28, November 20202.2.220, July 20230.9
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++JavaJavaJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
All OS with a Java VMLinux
macOS
Unix
Data schemeschema-freeschema-free infosome layers support schemasyesschema-freeyes
Typing infopredefined data types such as float or datenono infosome layers support typingyesyesyes
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 indexesnonoyesyes infovia Elasticsearchyes infoalso supports composite index and range index
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.supported in specific SQL layer onlyyesnono
APIs and other access methodsJavaScript APIJDBC
ODBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesJavaScript.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
JavaGroovy
Java
Python
Server-side scripts infoStored proceduresnoin SQL-layer onlyJava Stored Procedures and User-Defined Functionsnoasynchronous Gremlin script jobs
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneShardingyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesWith clustering: 2 database servers on different computers operate on identical copies of a databaseyesyes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononovia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneLinearizable consistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integrityyesin SQL-layer onlyyesnoyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDACIDnoACID
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 FileStorageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlnonofine grained access rights according to SQL-standardUsers, roles and permissions

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More resources
AlaSQLFoundationDBH2HeroicHugeGraph
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