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DBMS > Hypertable vs. PostgreSQL vs. SQream DB

System Properties Comparison Hypertable vs. PostgreSQL vs. SQream DB

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSQream DB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelWide column storeRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score615.29
Rank#4  Overall
#4  Relational DBMS
Score0.60
Rank#221  Overall
#108  Relational DBMS
Websitewww.postgresql.orgsqream.com
Technical documentationwww.postgresql.org/­docsdocs.sqream.com
DeveloperHypertable Inc.PostgreSQL Global Development Group infowww.postgresql.org/­developerSQream Technologies
Initial release20091989 info1989: Postgres, 1996: PostgreSQL2014
Current release0.9.8.11, March 201614.3, May 20222021.2, September 2021
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availableOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CC++, CUDA, Haskell, Java, Scala
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes, ANSI Standard SQL Types
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.yes infospecific XML-type available, but no XML query functionality.
Secondary indexesrestricted infoonly exact value or prefix value scansyesyes
SQL infoSupport of SQLnoyes infostandard with numerous extensionsyes
APIs and other access methodsC++ API
Thrift
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.Net
JDBC
ODBC
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functions in Python
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingpartitioning by range, list and (since PostgreSQL 11) by hashhorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelSource-replica replication infoother methods possible by using 3rd party extensionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlnofine grained access rights according to SQL-standard
More information provided by the system vendor
HypertablePostgreSQLSQream DB
Specific characteristicsDue to exponentially growing data, organizations today are facing slowdowns, with...
» more
Competitive advantagesMuch faster time to insight Analyze significantly more data Achieve previously unobtainable...
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Typical application scenariosWhat can you do with 100x faster SQL analytics? Better and more timely decision making...
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Key customersSome of our customers include: LG Uplus, AIS (Advanced Info Service), ACL Mobile,...
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