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DBMS > PostgreSQL vs. Splice Machine

System Properties Comparison PostgreSQL vs. Splice Machine

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Our visitors often compare PostgreSQL and Splice Machine with Snowflake, Amazon Redshift and Oracle.

Editorial information provided by DB-Engines
NamePostgreSQL  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational 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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score542.40
Rank#4  Overall
#4  Relational DBMS
Score0.79
Rank#190  Overall
#93  Relational DBMS
Websitewww.postgresql.orgsplicemachine.com
Technical documentationwww.postgresql.org/­docs/­manualsdoc.splicemachine.com
DeveloperPostgreSQL Global Development Group infowww.postgresql.org/­developerSplice Machine
Initial release1989 info1989: Postgres, 1996: PostgreSQL2014
Current release13.0, September 20202.0
License infoCommercial or Open SourceOpen Source infoBSDOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • ScaleGrid for PostgreSQL: Fully managed PostgreSQL hosting on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
  • Azure Database for PostgreSQL: A fully managed, scalable PostgreSQL relational database with high availability and security built in at no extra cost
Implementation languageCJava
Server operating systemsFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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 indexesyesyes
SQL infoSupport of SQLyes infostandard with numerous extensionsyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes infoJava
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and (since PostgreSQL 11) by hashShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
PostgreSQLSplice Machine
Specific characteristicsTHE ONLY SCALE-OUT SQL RDBMS WITH BUILT-IN MACHINE LEARNING For data-rich, real-time...
» more
Competitive advantagesOperational Workloads: Full ACID support with high performance at scale Multi-row...
» more
Typical application scenariosNew AI/ML and IoT Applications Data Warehouse Offloads Application Modernization...
» more
Licensing and pricing modelsKubernetes Community Edition: https://hub.helm.sh/charts/splicemachine/splice-helm...
» more
News

How To Get Real-Time Analytics By Consolidating Databases
21 May 2020

How to Cut Costs and Digitally Transform
1 May 2020

How To Migrate A Legacy SQL Application To The Cloud With AI
10 March 2020

Building Production-Ready Machine Learning Models
4 March 2020

Considerations of Moving Applications Off the Mainframe
22 January 2020

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesGeneral SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.
» more

pgDash: In-Depth PostgreSQL Monitoring.
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2ndQuadrant: Mission Critical Databases.
» more

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!
» more

Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
» more

Azure Database for PostgreSQL provides fully managed, enterprise-ready community PostgreSQL database as a service
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
PostgreSQLSplice Machine
DB-Engines blog posts

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

PostgreSQL is the DBMS of the Year 2017
2 January 2018, Paul Andlinger, Matthias Gelbmann

Microsoft SQL Server is the DBMS of the Year
4 January 2017, Matthias Gelbmann, Paul Andlinger

show all

Conferences and events

PostgreSQL Online Trainings
Online Training Courses, 4 May 2020 - 11 December 2020

Recent citations in the news

The year of PostgreSQL is every year
5 October 2020, Reseller News

RDBMS Software Market SWOT Analysis, by Key Players: Microsoft, Oracle, PostgreSQL Global Development Group, SQLite, IBM, SolarWinds IT Operations Management, Cubrid, TmaxSoft, CA Technologies, ThinkSQL, FrontBase, MonetDB, VoltDB
26 October 2020, TechnoWeekly

PostgreSQL 13 advances popular open source database
1 October 2020, TechTarget

EDB Completes Acquisition of 2ndQuadrant; Becomes Largest Dedicated Provider of PostgreSQL Products and Solutions Worldwide
30 September 2020, Business Wire

Postgres Professional Makes Postgres Pro Enterprise Database 12
26 October 2020, AiThority

provided by Google News

Splice Machine Announces the Launch of 'ML Minutes' - a Short-Form Podcast That Highlights Advances in Machine Learning
15 October 2020, WFMZ Allentown

Are you a big data laggard? Here's how to catch up
16 October 2020, TechRepublic

Splice Machine Announces 3.0 Version of its Intelligent, Distributed SQL Data Platform, Available in Q1 2020
15 January 2020, PRNewswire

Splice Machine Leans on Kubernetes to Manage DBs
3 August 2020, Container Journal

Splice Machine Data Platform 3.0 Supports Kubernetes Managed Service and New ML Manager
2 March 2020, InfoQ.com

provided by Google News

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