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DBMS > BigchainDB vs. HEAVY.AI vs. Spark SQL vs. SQL.JS

System Properties Comparison BigchainDB vs. HEAVY.AI vs. Spark SQL vs. SQL.JS

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonSpark SQL  Xexclude from comparisonSQL.JS  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareSpark SQL is a component on top of 'Spark Core' for structured data processingPort of SQLite to JavaScript
Primary database modelDocument storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.53
Rank#252  Overall
#116  Relational DBMS
Websitewww.bigchaindb.comgithub.com/­heavyai/­heavydb
www.heavy.ai
spark.apache.org/­sqlsql.js.org
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.heavy.aispark.apache.org/­docs/­latest/­sql-programming-guide.htmlsql.js.org/­documentation/­index.html
DeveloperHEAVY.AI, Inc.Apache Software FoundationAlon Zakai infoenhancements implemented by others
Initial release2016201620142012
Current release5.10, January 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC++ and CUDAScalaJavaScript
Server operating systemsLinuxLinuxLinux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesnono
SQL infoSupport of SQLnoyesSQL-like DML and DDL statementsyes infoSQL-92 is not fully supported
APIs and other access methodsCLI Client
RESTful HTTP API
JDBC
ODBC
Thrift
Vega
JDBC
ODBC
JavaScript API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
Java
Python
R
Scala
JavaScript
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robinyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardnono

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More resources
BigchainDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Spark SQLSQL.JS
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