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DBMS > Apache Hive vs. BigchainDB vs. ReductStore

System Properties Comparison Apache Hive vs. BigchainDB vs. ReductStore

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Editorial information provided by DB-Engines
NameApache Hive  Xexclude from comparisonBigchainDB  Xexclude from comparisonReductStore  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.
Primary database modelRelational DBMSDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score62.49
Rank#18  Overall
#12  Relational DBMS
Score0.74
Rank#210  Overall
#35  Document stores
Score0.00
Rank#381  Overall
#40  Time Series DBMS
Websitehive.apache.orgwww.bigchaindb.comgithub.com/­reductstore
www.reduct.store
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homebigchaindb.readthedocs.io/­en/­latestwww.reduct.store/­docs
DeveloperApache Software Foundation infoinitially developed by FacebookReductStore LLC
Initial release201220162023
Current release3.1.3, April 20221.9, March 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoAGPL v3Open Source infoBusiness Source License 1.1
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaPythonC++, Rust
Server operating systemsAll OS with a Java VMLinuxDocker
Linux
macOS
Windows
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesno
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.no
Secondary indexesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
Thrift
CLI Client
RESTful HTTP API
HTTP API
Supported programming languagesC++
Java
PHP
Python
Go
Haskell
Java
JavaScript
Python
Ruby
C++
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduce
Triggersno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDB
User concepts infoAccess controlAccess rights for users, groups and rolesyes

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More resources
Apache HiveBigchainDBReductStore
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