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DBMS > AlaSQL vs. atoti vs. BigchainDB vs. Spark SQL

System Properties Comparison AlaSQL vs. atoti vs. BigchainDB vs. Spark SQL

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonatoti  Xexclude from comparisonBigchainDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionJavaScript DBMS libraryAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.BigchainDB is scalable blockchain database offering decentralization, immutability and native assetsSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Relational DBMS
Object oriented DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score0.85
Rank#208  Overall
#35  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitealasql.orgatoti.iowww.bigchaindb.comspark.apache.org/­sql
Technical documentationgithub.com/­AlaSQL/­alasqldocs.atoti.iobigchaindb.readthedocs.io/­en/­latestspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAndrey Gershun & Mathias R. WulffActiveViamApache Software Foundation
Initial release201420162014
Current release3.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoMIT-Licensecommercial infofree versions availableOpen Source infoAGPL v3Open 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 languageJavaScriptJavaPythonScala
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)LinuxLinux
OS X
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenonoyes
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 indexesnono
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.Multidimensional Expressions (MDX)noSQL-like DML and DDL statements
APIs and other access methodsJavaScript APICLI Client
RESTful HTTP API
JDBC
ODBC
Supported programming languagesJavaScriptGo
Haskell
Java
JavaScript
Python
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoPythonno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding, horizontal partitioningShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnone
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageno
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 FileStorageyes,with MongoDB ord RethinkDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlnoyesno

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More resources
AlaSQLatotiBigchainDBSpark SQL
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