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DBMS > Amazon Redshift vs. Apache Phoenix vs. Bangdb vs. BigchainDB vs. Yanza

System Properties Comparison Amazon Redshift vs. Apache Phoenix vs. Bangdb vs. BigchainDB vs. Yanza

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonApache Phoenix  Xexclude from comparisonBangdb  Xexclude from comparisonBigchainDB  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionLarge scale data warehouse service for use with business intelligence toolsA scale-out RDBMS with evolutionary schema built on Apache HBaseConverged and high performance database for device data, events, time series, document and graphBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsTime Series DBMS for IoT Applications
Primary database modelRelational DBMSRelational DBMSDocument store
Graph DBMS
Time Series DBMS
Document storeTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.88
Rank#35  Overall
#22  Relational DBMS
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score0.85
Rank#208  Overall
#35  Document stores
Websiteaws.amazon.com/­redshiftphoenix.apache.orgbangdb.comwww.bigchaindb.comyanza.com
Technical documentationdocs.aws.amazon.com/­redshiftphoenix.apache.orgdocs.bangdb.combigchaindb.readthedocs.io/­en/­latest
DeveloperAmazon (based on PostgreSQL)Apache Software FoundationSachin Sinha, BangDBYanza
Initial release20122014201220162015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019BangDB 2.0, October 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoBSD 3Open Source infoAGPL v3commercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC, C++Python
Server operating systemshostedLinux
Unix
Windows
LinuxLinuxWindows
Data schemeyesyes infolate-bound, schema-on-read capabilitiesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes: string, long, double, int, geospatial, stream, eventsnono
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.nonononono
Secondary indexesrestrictedyesyes infosecondary, composite, nested, reverse, geospatialno
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardyesSQL like support with command line toolnono
APIs and other access methodsJDBC
ODBC
JDBCProprietary protocol
RESTful HTTP API
CLI Client
RESTful HTTP API
HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C#
C++
Java
Python
Go
Haskell
Java
JavaScript
Python
Ruby
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functions infoin Pythonuser defined functionsnono
Triggersnonoyes, Notifications (with Streaming only)yes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
selectable replication factor, Knob for CAP (enterprise version only)selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyTunable consistency, set CAP knob accordinglyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyesyesyes, implements WAL (Write ahead log) as wellyes,with MongoDB ord RethinkDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes, run db with in-memory only mode
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyyes (enterprise version only)yesno

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More resources
Amazon RedshiftApache PhoenixBangdbBigchainDBYanza
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