DBMS > Postgres-XL vs. Solr vs. TinkerGraph

System Properties Comparison Postgres-XL vs. Solr vs. TinkerGraph

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Editorial information provided by DB-Engines

Name

Description

Based on PostgreSQL enhanced with MPP and write-scale-out cluster features

A widely used distributed, scalable search engine based on Apache Lucene

A lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API

Primary database model

Relational DBMS

Search engine

Graph DBMS

Secondary database models

Document store
Spatial DBMS

Spatial DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.83
Rank	#254	Overall
	#117	Relational DBMS

Score	49.56
Rank	#24	Overall
	#3	Search engines

Score	0.37
Rank	#327	Overall
	#30	Graph DBMS

Website

www.postgres-xl.org

lucene.apache.org/solr

tinkerpop.apache.org/docs/current/reference/#tinkergraph-gremlin

Technical documentation

www.postgres-xl.org/documentation

lucene.apache.org/solr/resources.html

Developer

Apache Software Foundation

Initial release

2014

since 2012, originally named StormDB

2006

2009

Current release

10 R1, October 2018

9.2.1, May 2023

License

Commercial or Open Source

Open Source

Mozilla public license

Open Source

Apache Version 2

Open Source

Apache 2.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

Server operating systems

Linux
macOS

All OS with a Java VM

runs as a servlet in servlet container (e.g. Tomcat, Jetty is included)

Data scheme

yes

Dynamic Fields enables on-the-fly addition of new fields

schema-free

Typing

predefined data types such as float or date

yes

supports customizable data types and automatic typing

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

XML type, but no XML query functionality

yes

Secondary indexes

yes

All search fields are automatically indexed

SQL

Support of SQL

yes

distributed, parallel query execution

Solr Parallel SQL Interface

APIs and other access methods

ADO.NET
JDBC
native C library
ODBC
streaming API for large objects

Java API
RESTful HTTP/JSON API

TinkerPop 3

Supported programming languages

.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl

.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala

Groovy
Java

Server-side scripts

Stored procedures

user defined functions

Java plugins

Triggers

yes

User configurable commands triggered on index changes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

spark-solr: github.com/lucidworks/spark-solr and streaming expressions to reduce

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

none

Foreign keys

Referential integrity

yes

Relationships in graphs

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

MVCC

optimistic locking

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

optional

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

fine grained access rights according to SQL-standard

yes

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More resources

DB-Engines blog posts

Elasticsearch replaced Solr as the most popular search engine
12 January 2016, Paul Andlinger

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Recent citations in the news

Building a scalable PostgreSQL solution
14 April 2019, Packt Hub

Can someone share experience configuring Highly Available PgSQL? : r/PostgreSQL
26 March 2023, Reddit

EDB Docs - pglogical 2
3 April 2023, enterprisedb.com

Postgres-XL | Open Source Scalable SQL Database Cluster
17 June 2016, postgres-xl.org

Postgres-XL
30 May 2017, en.wikipedia.org

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IIROC Trading Resumption - SOLR
18 May 2023, Benzinga

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18 May 2023, Stockhouse Publishing

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9 May 2023, The Register

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Gremlin, a Language for Working with Graphs
15 January 2010, InfoQ.com

Graph Databases, NOSQL and Neo4j
12 May 2010, InfoQ.com

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