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DBMS > BigchainDB vs. Google Cloud Bigtable vs. HEAVY.AI vs. Interbase vs. Microsoft Azure AI Search

System Properties Comparison BigchainDB vs. Google Cloud Bigtable vs. HEAVY.AI vs. Interbase vs. Microsoft Azure AI Search

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonInterbase  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareLight-weight proven RDBMS infooriginally from BorlandSearch-as-a-service for web and mobile app development
Primary database modelDocument storeKey-value store
Wide column store
Relational 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
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Websitewww.bigchaindb.comcloud.google.com/­bigtablegithub.com/­heavyai/­heavydb
www.heavy.ai
www.embarcadero.com/­products/­interbaseazure.microsoft.com/­en-us/­services/­search
Technical documentationbigchaindb.readthedocs.io/­en/­latestcloud.google.com/­bigtable/­docsdocs.heavy.aidocs.embarcadero.com/­products/­interbaselearn.microsoft.com/­en-us/­azure/­search
DeveloperGoogleHEAVY.AI, Inc.EmbarcaderoMicrosoft
Initial release20162015201619842015
Current release5.10, January 2022InterBase 2020, December 2019V1
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialOpen Source infoApache Version 2; enterprise edition availablecommercialcommercial
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 CUDAC
Server operating systemsLinuxhostedLinuxAndroid
iOS
Linux
OS X
Windows
hosted
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or datenonoyesyesyes
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 infoexport as XML data possibleno
Secondary indexesnonoyesyes
SQL infoSupport of SQLnonoyesyesno
APIs and other access methodsCLI Client
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnonoyes infoInterbase procedure and trigger languageno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoRound robinnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replicationInterbase Change Viewsyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMultiversion concurreny controlyes
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.noyesyesno
User concepts infoAccess controlyesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes infousing Azure authentication

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More resources
BigchainDBGoogle Cloud BigtableHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022InterbaseMicrosoft Azure AI Search
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