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DBMS > Hypertable vs. MonetDB vs. Oracle NoSQL vs. Teradata Aster

System Properties Comparison Hypertable vs. MonetDB vs. Oracle NoSQL vs. Teradata Aster

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonMonetDB  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopA relational database management system that stores data in columnsA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesPlatform for big data analytics on multistructured data sources and types
Primary database modelWide column storeRelational DBMSDocument store
Key-value store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score3.05
Rank#97  Overall
#17  Document stores
#16  Key-value stores
#50  Relational DBMS
Websitewww.monetdb.orgwww.oracle.com/­database/­nosql/­technologies/­nosql
Technical documentationwww.monetdb.org/­Documentationdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.html
DeveloperHypertable Inc.MonetDB BVOracleTeradata
Initial release2009200420112005
Current release0.9.8.11, March 2016Dec2023 (11.49), December 202324.1, May 2024
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availableOpen Source infoMozilla Public License 2.0Open Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CJava
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
FreeBSD
Linux
OS X
Solaris
Windows
Linux
Solaris SPARC/x86
Linux
Data schemeschema-freeyesSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.Flexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or datenoyesoptionalyes
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.noyes infoin Aster File Store
Secondary indexesrestricted infoonly exact value or prefix value scansyesyesyes
SQL infoSupport of SQLnoyes infoSQL 2003 with some extensionsSQL-like DML and DDL statementsyes
APIs and other access methodsC++ API
Thrift
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
RESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C#
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoyes, in SQL, C, RnoR packages
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding via remote tablesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelnone infoSource-replica replication available in experimental statusElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featureyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnowith Hadoop integrationyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDconfigurable infoACID within a storage node (=shard)ACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infooff heap cacheno
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users and rolesfine grained access rights according to SQL-standard

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HypertableMonetDBOracle NoSQLTeradata Aster
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