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DBMS > BigchainDB vs. Google BigQuery vs. HEAVY.AI vs. Hive vs. Microsoft Azure AI Search

System Properties Comparison BigchainDB vs. Google BigQuery vs. HEAVY.AI vs. Hive vs. Microsoft Azure AI Search

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonHive  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsLarge scale data warehouse service with append-only tablesA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwaredata warehouse software for querying and managing large distributed datasets, built on HadoopSearch-as-a-service for web and mobile app development
Primary database modelDocument storeRelational DBMSRelational DBMSRelational DBMSSearch engine
Secondary database modelsSpatial DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Websitewww.bigchaindb.comcloud.google.com/­bigquerygithub.com/­heavyai/­heavydb
www.heavy.ai
hive.apache.orgazure.microsoft.com/­en-us/­services/­search
Technical documentationbigchaindb.readthedocs.io/­en/­latestcloud.google.com/­bigquery/­docsdocs.heavy.aicwiki.apache.org/­confluence/­display/­Hive/­Homelearn.microsoft.com/­en-us/­azure/­search
DeveloperGoogleHEAVY.AI, Inc.Apache Software Foundation infoinitially developed by FacebookMicrosoft
Initial release20162010201620122015
Current release5.10, January 20223.1.3, April 2022V1
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonC++ and CUDAJava
Server operating systemsLinuxhostedLinuxAll OS with a Java VMhosted
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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
SQL infoSupport of SQLnoyesyesSQL-like DML and DDL statementsno
APIs and other access methodsCLI Client
RESTful HTTP API
RESTful HTTP/JSON APIJDBC
ODBC
Thrift
Vega
JDBC
ODBC
Thrift
RESTful HTTP API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
C++
Java
PHP
Python
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnoyes infouser defined functions and integration of map-reduceno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoRound robinShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replicationselectable replication factoryes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlyesAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standardAccess rights for users, groups and rolesyes infousing Azure authentication

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More resources
BigchainDBGoogle BigQueryHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022HiveMicrosoft Azure AI Search
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