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DBMS > BigchainDB vs. Hive vs. MaxDB vs. Prometheus vs. Riak KV

System Properties Comparison BigchainDB vs. Hive vs. MaxDB vs. Prometheus vs. Riak KV

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonHive  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonPrometheus  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsdata warehouse software for querying and managing large distributed datasets, built on HadoopA robust and reliable RDBMS optimized to run all major SAP solutionsOpen-source Time Series DBMS and monitoring systemDistributed, fault tolerant key-value store
Primary database modelDocument storeRelational DBMSRelational DBMSTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score2.32
Rank#112  Overall
#55  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Websitewww.bigchaindb.comhive.apache.orgmaxdb.sap.comprometheus.io
Technical documentationbigchaindb.readthedocs.io/­en/­latestcwiki.apache.org/­confluence/­display/­Hive/­Homemaxdb.sap.com/­documentationprometheus.io/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperApache Software Foundation infoinitially developed by FacebookSAP, acquired from Software AG (Adabas-D) in 1997OpenSource, formerly Basho Technologies
Initial release20162012198420152009
Current release3.1.3, April 20227.9.10.12, February 20243.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache Version 2commercial infoLimited community edition freeOpen Source infoApache 2.0Open Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonJavaC++GoErlang
Server operating systemsLinuxAll OS with a Java VMAIX
HP-UX
Linux
Solaris
Windows
Linux
Windows
Linux
OS X
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesNumeric data onlyno
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 infoImport of XML data possibleno
Secondary indexesyesyesnorestricted
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesnono
APIs and other access methodsCLI Client
RESTful HTTP API
JDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
WebDAV
RESTful HTTP/JSON APIHTTP API
Native Erlang Interface
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C++
Java
PHP
Python
.Net
C#
Java
Perl
PHP
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesnoErlang
Triggersnoyesnoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factorSource-replica replicationyes infoby Federationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencynoneEventual Consistency
Foreign keys infoReferential integritynonoyesnono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
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 controlyesAccess rights for users, groups and rolesfine grained access rights according to SQL-standardnoyes, using Riak Security

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BigchainDBHiveMaxDB infoformerly named Adabas-DPrometheusRiak KV
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