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DBMS > Amazon Redshift vs. HugeGraph vs. Netezza vs. Newts vs. Quasardb

System Properties Comparison Amazon Redshift vs. HugeGraph vs. Netezza vs. Newts vs. Quasardb

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonHugeGraph  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonNewts  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsA fast-speed and highly-scalable Graph DBMSData warehouse and analytics appliance part of IBM PureSystemsTime Series DBMS based on CassandraDistributed, high-performance timeseries database
Primary database modelRelational DBMSGraph DBMSRelational DBMSTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websiteaws.amazon.com/­redshiftgithub.com/­hugegraph
hugegraph.apache.org
www.ibm.com/­products/­netezzaopennms.github.io/­newtsquasar.ai
Technical documentationdocs.aws.amazon.com/­redshifthugegraph.apache.org/­docsgithub.com/­OpenNMS/­newts/­wikidoc.quasar.ai/­master
DeveloperAmazon (based on PostgreSQL)BaiduIBMOpenNMS Groupquasardb
Initial release20122018200020142009
Current release0.93.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaJavaC++
Server operating systemshostedLinux
macOS
Unix
Linux infoincluded in applianceLinux
OS X
Windows
BSD
Linux
OS X
Windows
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes infointeger and binary
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.nononono
Secondary indexesrestrictedyes infoalso supports composite index and range indexyesnoyes infowith tags
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnoyesnoSQL-like query language
APIs and other access methodsJDBC
ODBC
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
OLE DB
HTTP REST
Java API
HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCGroovy
Java
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Java.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functions infoin Pythonasynchronous Gremlin script jobsyesnono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding infobased on CassandraSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationselectable replication factor infobased on CassandraSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparkyesnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyes infoedges in graphnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes infoTransient mode
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers, roles and permissionsUsers with fine-grained authorization conceptnoCryptographically strong user authentication and audit trail

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More resources
Amazon RedshiftHugeGraphNetezza infoAlso called PureData System for Analytics by IBMNewtsQuasardb
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