DBMS > Hazelcast vs. PostgreSQL vs. Sqrrl
System Properties Comparison Hazelcast vs. PostgreSQL vs. Sqrrl
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|Editorial information provided by DB-Engines|
|Name||Hazelcast Xexclude from comparison||PostgreSQL Xexclude from comparison||Sqrrl Xexclude from comparison|
|Description||A widely adopted in-memory data grid||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL||Adaptable, secure NoSQL built on Apache Accumulo|
|Primary database model||Key-value store||Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.||Document store|
Wide column store
|Secondary database models||Document store JSON support with IMDG 3.12||Document store|
|Developer||Hazelcast||PostgreSQL Global Development Group www.postgresql.org/developer||Amazon originally Sqrrl Data, Inc.|
|Initial release||2008||1989 1989: Postgres, 1996: PostgreSQL||2012|
|Current release||3.12.2, August 2019||12.1, November 2019|
|License Commercial or Open Source||Open Source Apache Version 2; commercial licenses 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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|Server operating systems||All OS with a Java VM||FreeBSD|
|Typing predefined data types such as float or date||yes||yes||yes|
|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 the object must implement a serialization strategy||yes specific XML-type available, but no XML query functionality.|
|SQL Support of SQL||SQL-like query language||yes standard with numerous extensions||no|
|APIs and other access methods||JCache|
RESTful HTTP API
native C library
streaming API for large objects
RESTful HTTP API
|Supported programming languages||.Net|
C using GLib
|Server-side scripts Stored procedures||yes Event Listeners, Executor Services||user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding||partitioning by range, list and (since PostgreSQL 11) by hash||Sharding making use of Hadoop|
|Replication methods Methods for redundantly storing data on multiple nodes||yes Replicated Map||Master-slave replication other methods possible by using 3rd party extensions||selectable replication factor making use of Hadoop|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes||no||yes|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency or Eventual Consistency selectable by user Raft Consensus Algorithm||Immediate Consistency||Immediate Consistency Document store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.|
|Foreign keys Referential integrity||no||yes||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||one or two-phase-commit; repeatable reads; read commited||ACID||Atomic updates per row, document, or graph entity|
|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.||yes||no|
|User concepts Access control||Role-based access control||fine grained access rights according to SQL-standard||Cell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)|
More information provided by the system vendor
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|Related products and services|
|3rd parties||CYBERTEC: your professional partner for PostgreSQL services and Data Science based on PostgreSQL since 2000. With offices in Austria, Uruguay, Estonia and Switzerland, CYBERTEC operates worldwide!|
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