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DBMS > Amazon Redshift vs. Apache Phoenix vs. Graph Engine vs. TerarkDB vs. WakandaDB

System Properties Comparison Amazon Redshift vs. Apache Phoenix vs. Graph Engine vs. TerarkDB vs. WakandaDB

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonApache Phoenix  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonTerarkDB  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsA scale-out RDBMS with evolutionary schema built on Apache HBaseA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSRelational DBMSGraph DBMS
Key-value store
Key-value storeObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.03
Rank#34  Overall
#21  Relational DBMS
Score2.02
Rank#130  Overall
#63  Relational DBMS
Score0.62
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.04
Rank#377  Overall
#58  Key-value stores
Score0.09
Rank#352  Overall
#16  Object oriented DBMS
Websiteaws.amazon.com/­redshiftphoenix.apache.orgwww.graphengine.iogithub.com/­bytedance/­terarkdbwakanda.github.io
Technical documentationdocs.aws.amazon.com/­redshiftphoenix.apache.orgwww.graphengine.io/­docs/­manualbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcwakanda.github.io/­doc
DeveloperAmazon (based on PostgreSQL)Apache Software FoundationMicrosoftByteDance, originally TerarkWakanda SAS
Initial release20122014201020162012
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoMIT Licensecommercial inforestricted open source version availableOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava.NET and CC++C++, JavaScript
Server operating systemshostedLinux
Unix
Windows
.NETLinux
OS X
Windows
Data schemeyesyes infolate-bound, schema-on-read capabilitiesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 indexesrestrictedyesno
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardyesnonono
APIs and other access methodsJDBC
ODBC
JDBCRESTful HTTP APIC++ API
Java API
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C#
C++
F#
Visual Basic
C++
Java
JavaScript
Server-side scripts infoStored proceduresuser defined functions infoin Pythonuser defined functionsyesnoyes
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyesno
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-tenancynoyes

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More resources
Amazon RedshiftApache PhoenixGraph Engine infoformer name: TrinityTerarkDBWakandaDB
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