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DBMS > Amazon Redshift vs. HBase vs. NSDb vs. Sadas Engine

System Properties Comparison Amazon Redshift vs. HBase vs. NSDb vs. Sadas Engine

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonHBase  Xexclude from comparisonNSDb  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsWide-column store based on Apache Hadoop and on concepts of BigTableScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesSADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environments
Primary database modelRelational DBMSWide column storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score25.94
Rank#31  Overall
#18  Relational DBMS
Score43.19
Rank#26  Overall
#2  Wide column stores
Score0.00
Rank#354  Overall
#33  Time Series DBMS
Score0.00
Rank#354  Overall
#152  Relational DBMS
Websiteaws.amazon.com/­redshifthbase.apache.orgnsdb.iowww.sadasengine.com
Technical documentationdocs.aws.amazon.com/­redshifthbase.apache.orgnsdb.io/­Architecturewww.sadasengine.com/­index.php/­downloads/­documentation-columnar-db
DeveloperAmazon (based on PostgreSQL)Apache Software Foundation infoApache top-level project, originally developed by PowersetSADAS s.r.l.
Initial release2012200820172006
Current release2.3.4, January 20218.0
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoApache Version 2.0commercial infofree trial version available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Cloudera Operational Database: Cloud-native autonomous Apache HBase for unparalleled scale, performance and reliability. Automate and simplify database management with capabilities like auto-scale, auto-heal, and auto-tune.
Implementation languageCJavaJava, ScalaC++
Server operating systemshostedLinux
Unix
Windows infousing Cygwin
Linux
macOS
AIX
Linux
Windows
Data schemeyesschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyes: int, bigint, decimal, stringyes
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 indexesrestrictednoall fields are automatically indexedyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnoSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
Java API
RESTful HTTP API
Thrift
gRPC
HTTP REST
WebSocket
JDBC
ODBC
Proprietary protocol
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Groovy
Java
PHP
Python
Scala
Java
Scala
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyes infoCoprocessors in Javanono
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)no
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
Amazon RedshiftHBaseNSDbSadas Engine
Specific characteristicsApache HBase is the leading NoSQL, distributed database management system, well suited...
» more
Competitive advantagesNo single point of failure ensures very high availability with multiple customers...
» more
Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
» more
Key customersApple, Salesforce, Cerner, Allegis Group, Bloomberg, Airtel, Thomson Reuters, Dish,...
» more
Market metrics#1 largest NoSQL database by revenue
» more
Licensing and pricing modelsApache license P ricing for commercial distribution provided by Cloudera and available...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon RedshiftHBaseNSDbSadas Engine
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