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|
|Name||Hypertable Xexclude from comparison||PostgreSQL Xexclude from comparison||SQream DB Xexclude from comparison|
|Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.|
|Description||An open source BigTable implementation based on distributed file systems such as Hadoop||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL||a GPU-based, columnar RDBMS for big data analytics workloads|
|Primary database model||Wide column store||Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.||Relational DBMS|
|Secondary database models||Document store|
|Developer||Hypertable Inc.||PostgreSQL Global Development Group www.postgresql.org/developer||SQream Technologies|
|Initial release||2009||1989 1989: Postgres, 1996: PostgreSQL||2014|
|Current release||0.9.8.11, March 2016||14.3, May 2022||2021.2, September 2021|
|License Commercial or Open Source||Open Source GNU version 3. Commercial license available||Open Source BSD||commercial|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Implementation language||C++||C||C++, CUDA, Haskell, Java, Scala|
|Server operating systems||Linux|
Windows an inofficial Windows port is available
|Typing predefined data types such as float or date||no||yes||yes, ANSI Standard SQL Types|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||yes specific XML-type available, but no XML query functionality.|
|Secondary indexes||restricted only exact value or prefix value scans||yes||yes|
|SQL Support of SQL||no||yes standard with numerous extensions||yes|
|APIs and other access methods||C++ API|
native C library
streaming API for large objects
|Supported programming languages||C++|
|Server-side scripts Stored procedures||no||user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.||user defined functions in Python|
|Partitioning methods Methods for storing different data on different nodes||Sharding||partitioning by range, list and (since PostgreSQL 11) by hash||horizontal and vertical partitioning|
|Replication methods Methods for redundantly storing data on multiple nodes||selectable replication factor on file system level||Source-replica replication other methods possible by using 3rd party extensions||none|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no||yes||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||ACID||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no|
|User concepts Access control||no||fine grained access rights according to SQL-standard|
|More information provided by the system vendor|
|Specific characteristics||Due to exponentially growing data, organizations today are facing slowdowns, with...|
|Competitive advantages||Much faster time to insight Analyze significantly more data Achieve previously unobtainable...|
|Typical application scenarios||What can you do with 100x faster SQL analytics? Better and more timely decision making...|
|Key customers||Some of our customers include: LG Uplus, AIS (Advanced Info Service), ACL Mobile,...|
SQream Appoints Naama Saar as New COO
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