DBMS > Elasticsearch vs. PostgreSQL vs. SQream DB
System Properties Comparison Elasticsearch vs. PostgreSQL vs. SQream DB
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|Editorial information provided by DB-Engines|
|Name||Elasticsearch Xexclude from comparison||PostgreSQL Xexclude from comparison||SQream DB Xexclude from comparison|
|Description||A distributed, RESTful modern search and analytics engine based on Apache Lucene Elasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metric||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||Search engine||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|
Graph DBMS with Apache Age
Vector DBMS with pgvector extension
|Developer||Elastic||PostgreSQL Global Development Group www.postgresql.org/developer||SQream Technologies|
|Initial release||2010||1989 1989: Postgres, 1996: PostgreSQL||2017|
|Current release||8.6, January 2023||16.1, November 2023||2022.1.6, December 2022|
|License Commercial or Open Source||Open Source Elastic License||Open Source BSD||commercial|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|Aiven for PostgreSQL: Fully managed PostgreSQL for developers with 70+ extensions and flexible orchestration tools.|
|Implementation language||Java||C||C++, CUDA, Haskell, Java, Scala|
|Server operating systems||All OS with a Java VM||FreeBSD|
|Data scheme||schema-free Flexible type definitions. Once a type is defined, it is persistent||yes||yes|
|Typing predefined data types such as float or date||yes||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.||no||yes specific XML-type available, but no XML query functionality.|
|Secondary indexes||yes All search fields are automatically indexed||yes||no|
|SQL Support of SQL||SQL-like query language||yes standard with numerous extensions||yes|
|APIs and other access methods||Java API|
RESTful HTTP/JSON API
native C library
streaming API for large objects
|Supported programming languages||.Net|
Community Contributed Clients
|Server-side scripts Stored procedures||yes||user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.||user defined functions in Python|
|Triggers||yes by using the 'percolation' feature||yes||no|
|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||yes||Source-replica replication other methods possible by using 3rd party extensions||none|
|MapReduce Offers an API for user-defined Map/Reduce methods||ES-Hadoop Connector||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all||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.||Memcached and Redis integration||no|
|User concepts Access control||fine grained access rights according to SQL-standard|
|More information provided by the system vendor|
|Specific characteristics||SQream allows companies to get answers from its data and get new business-insights...|
|Competitive advantages||Scalability when processing bigger datasets. Faster business insights, with more...|
|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-U+, AIS , ACL Mobile, Pubmatic, Telkomsel, LG Electronics|
We invite representatives of system vendors to contact us for updating and extending the system information,
|Related products and services|
|3rd parties||Timescale: Calling all PostgreSQL users – the 2023 State of PostgreSQL survey is now open! Share your favorite extensions, preferred frameworks, community experiences, and more. Take the survey today!
Fujitsu Enterprise Postgres: An Enterprise Grade PostgreSQL with the flexibility of a hybrid cloud solution combined with industry leading security, availability and performance.
Aiven for PostgreSQL: Fully managed PostgreSQL for developers with 70+ extensions and flexible orchestration tools.
Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
Datasentinel: Platform for Monitoring and Analyzing the performance problems of your PostgreSQL Clusters
Redgate webinars: A series of key topics for new PostgreSQL users.
pgDash: In-Depth PostgreSQL Monitoring.
Instaclustr: Fully Hosted & Managed PostgreSQL
Navicat Monitor is a safe, simple and agentless remote server monitoring tool for PostgreSQL and many other database management systems.
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
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