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DBMS > BigchainDB vs. Brytlyt vs. Heroic vs. Hive vs. Microsoft Azure Table Storage

System Properties Comparison BigchainDB vs. Brytlyt vs. Heroic vs. Hive vs. Microsoft Azure Table Storage

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonBrytlyt  Xexclude from comparisonHeroic  Xexclude from comparisonHive  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchdata warehouse software for querying and managing large distributed datasets, built on HadoopA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelDocument storeRelational DBMSTime Series DBMSRelational DBMSWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Websitewww.bigchaindb.combrytlyt.iogithub.com/­spotify/­heroichive.apache.orgazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.brytlyt.iospotify.github.io/­heroiccwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperBrytlytSpotifyApache Software Foundation infoinitially developed by FacebookMicrosoft
Initial release20162016201420122012
Current release5.0, August 20233.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialOpen Source infoApache 2.0Open Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonC, C++ and CUDAJavaJava
Server operating systemsLinuxLinux
OS X
Windows
All OS with a Java VMhosted
Data schemeschema-freeyesschema-freeyesschema-free
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.noyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesyes infovia Elasticsearchyesno
SQL infoSupport of SQLnoyesnoSQL-like DML and DDL statementsno
APIs and other access methodsCLI Client
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
Thrift
RESTful HTTP API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C++
Java
PHP
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnoyes infouser defined functions and integration of map-reduceno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationyesselectable replication factoryes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonooptimistic locking
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.nono
User concepts infoAccess controlyesfine grained access rights according to SQL-standardAccess rights for users, groups and rolesAccess rights based on private key authentication or shared access signatures

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More resources
BigchainDBBrytlytHeroicHiveMicrosoft Azure Table Storage
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