DBMS > Sadas Engine vs. Solr vs. TinkerGraph

System Properties Comparison Sadas Engine vs. Solr vs. TinkerGraph

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

SADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environments

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

Spatial DBMS

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

Score	0.00
Rank	#403	Overall
	#163	Relational DBMS

Score	49.56
Rank	#24	Overall
	#3	Search engines

Score	0.37
Rank	#327	Overall
	#30	Graph DBMS

Website

www.sadasengine.com

lucene.apache.org/solr

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

Technical documentation

www.sadasengine.com/en/sadas-engine-download-free-trial-and-documentation/#documentation

lucene.apache.org/solr/resources.html

Developer

SADAS s.r.l.

Apache Software Foundation

Initial release

2006

2009

Current release

8.0

9.2.1, May 2023

License

Commercial or Open Source

commercial

free trial version available

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

C++

Java

Server operating systems

AIX
Linux
Windows

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

Secondary indexes

yes

All search fields are automatically indexed

SQL

Support of SQL

yes

Solr Parallel SQL Interface

APIs and other access methods

JDBC
ODBC
Proprietary protocol

Java API
RESTful HTTP/JSON API

TinkerPop 3

Supported programming languages

.Net
C
C#
C++
Groovy
Java
PHP
Python

.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

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

none

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

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

managed by 'Learn by Usage'

yes

User concepts

Access control

Access rights for users, groups and roles according to SQL-standard

yes

More information provided by the system vendor

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

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

More resources

DB-Engines blog posts

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

Enterprise Search Engines almost double their popularity in the last 12 months
2 July 2014, Paul Andlinger

The DB-Engines ranking includes now search engines
4 February 2013, Paul Andlinger

show all

Recent citations in the news

Sadas Engine Software Reviews, Demo & Pricing - 2023
9 April 2023, Software Advice

Sadas Engine Software - 2023 Reviews, Pricing & Demo
18 May 2023, softwareadvice.ie

The DBMS for Big Data Analytics - Sadas Engine - DBMS for Data Analytics
27 February 2021, sadasengine.com

Sadas Engine Reviews, Prices & Ratings
2 August 2022, getapp.co.uk

Sadas Engine Pricing, Cost & Reviews
14 August 2022, capterra.ie

provided by Google News

IIROC Trading Resumption - SOLR
18 May 2023, Benzinga

2023-05-31 | TSXV:SOLR | Press Release | Solar Alliance Energy Inc
31 May 2023, Stockhouse Publishing

IIROC Trading Halt - SOLR
17 May 2023, Benzinga

2023-05-18 | TSXV:SOLR | Press Release | Solar Alliance Energy Inc
18 May 2023, Stockhouse Publishing

GitHub dumps frustrating code search engine for Rust-powered Blackbird
9 May 2023, The Register

provided by Google News

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

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

provided by Google News

Job opportunities

Clean Energy Consultant
SOLR - The Future is Clean, Aspen, CO

Solr Developer
Vertex Group, Remote

Linux Administrator
IT-SCIENT, Remote

Customer Service Manager
Semper Solr, Glenview, IL

Solr Developer
Hemanth, Alpharetta, GA

jobs by

Share this page