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DBMS > Ignite vs. PostgreSQL vs. Spark SQL

System Properties Comparison Ignite vs. PostgreSQL vs. Spark SQL

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Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value store
Relational DBMS
Relational 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
Score4.85
Rank#74  Overall
#10  Key-value stores
#41  Relational DBMS
Score577.50
Rank#4  Overall
#4  Relational DBMS
Score21.87
Rank#34  Overall
#20  Relational DBMS
Websiteignite.apache.orgwww.postgresql.orgspark.apache.org/­sql
Technical documentationapacheignite.readme.io/­docswww.postgresql.org/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software FoundationPostgreSQL Global Development Group infowww.postgresql.org/­developerApache Software Foundation
Initial release20151989 info1989: Postgres, 1996: PostgreSQL2014
Current releaseApache Ignite 2.613.4, August 20213.1.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSDOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .NetCScala
Server operating systemsLinux
OS X
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
OS X
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyes infostandard with numerous extensionsSQL-like DML and DDL statements
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
Python
R
Scala
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)user defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesShardingpartitioning by range, list and (since PostgreSQL 11) by hashyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replication infoother methods possible by using 3rd party extensionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
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.yesnono
User concepts infoAccess controlSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardno

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More resources
IgnitePostgreSQLSpark SQL
DB-Engines blog posts

The Inexorable Rise of PostgreSQL
24 September 2021,  Matt Yonkovit, Percona (sponsor) 

PostgreSQL is the DBMS of the Year 2020
4 January 2021, Paul Andlinger, Matthias Gelbmann

PostgreSQL is the DBMS of the Year 2018
2 January 2019, Paul Andlinger, Matthias Gelbmann

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Recent citations in the news

Break point: Apache Ignite, DKP, WebAssembly PaaS, JupyterLab, and Google Cloud Deploy • DEVCLASS
24 September 2021, DevClass

GridGain Opens Registration, Announces Call for Papers for Ignite Summit
31 August 2021, GlobeNewswire

First Apache Ignite Summit Energizes Global Audience
10 June 2021, GlobeNewswire

The Apache® Software Foundation Announces Annual Report for
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GridGain Announces Keynote Speakers for First Ignite Summit
6 May 2021, GlobeNewswire

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Crunchy Data Delivers Trusted PostgreSQL Containers In Collaboration With The U.S. Department Of Defense
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Instaclustr Adds PostgreSQL to Managed Platform in Public Preview
14 September 2021, Yahoo Finance

Get PostgreSQL PGCES-02 Certification with PGCES-02 Practice Dumps Questions
25 September 2021, The African Exponent

Crunchy Data provides trusted PostgreSQL containers in partnership with DoD
21 September 2021, Geospatial World

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Online workshop: Data Science with Python and Spark
21 September 2021, Market Research Telecast

Databricks raises $1.6B more to boost data lakehouse
31 August 2021, TechTarget

Best Data Warehouse Tools for Managing Your Data | ESF
24 September 2021, Enterprise Storage Forum

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16 July 2021, Analytics India Magazine

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