DBMS > Solr vs. SQream DB vs. TimesTen

System Properties Comparison Solr vs. SQream DB vs. TimesTen

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Editorial information provided by DB-Engines

Name

Description

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

a GPU-based, columnar RDBMS for big data analytics workloads

In-Memory RDBMS compatible to Oracle

Primary database model

Search engine

Relational DBMS

Secondary database models

Spatial DBMS

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

Score	56.61
Rank	#20	Overall
	#3	Search engines

Score	0.58
Rank	#224	Overall
	#108	Relational DBMS

Score	1.69
Rank	#138	Overall
	#68	Relational DBMS

Website

lucene.apache.org/solr

sqream.com

www.oracle.com/database/technologies/related/timesten.html

Technical documentation

lucene.apache.org/solr/resources.html

docs.sqream.com

docs.oracle.com/database/timesten-18.1

Developer

Apache Software Foundation

SQream Technologies

Oracle, TimesTen Performance Software, HP

originally founded in HP Labs it was acquired by Oracle in 2005

Initial release

2006

2014

1998

Current release

9.0.0, May 2022

2021.2, September 2021

11 Release 2 (11.2.2.8.0)

License

Commercial or Open Source

Open Source

Apache Version 2

commercial

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

C++, CUDA, Haskell, Java, Scala

Server operating systems

All OS with a Java VM

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

Linux

AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows

Data scheme

yes

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

yes

Typing

predefined data types such as float or date

yes

supports customizable data types and automatic typing

yes, ANSI Standard SQL Types

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

yes

SQL

Support of SQL

Solr Parallel SQL Interface

yes

APIs and other access methods

Java API
RESTful HTTP/JSON API

.Net
JDBC
ODBC

JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)

Supported programming languages

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

C++
Java
JavaScript (Node.js)
Python

C
C++
Java
PL/SQL

Server-side scripts

Stored procedures

Java plugins

user defined functions in Python

PL/SQL

Triggers

yes

User configurable commands triggered on index changes

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal and vertical partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

Multi-source replication
Source-replica replication

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

Eventual Consistency

Immediate Consistency

Immediate Consistency or Eventual Consistency depending on configuration

Foreign keys

Referential integrity

yes

Transaction concepts

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

optimistic locking

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

by means of logfiles and checkpoints

In-memory capabilities

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

yes

User concepts

Access control

yes

fine grained access rights according to SQL-standard

More information provided by the system vendor

Specific characteristics

Due to exponentially growing data, organizations today are facing slowdowns, with...
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Competitive advantages

Much faster time to insight Analyze significantly more data Achieve previously unobtainable...
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Typical application scenarios

What can you do with 100x faster SQL analytics? Better and more timely decision making...
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Key customers

Some of our customers include: LG Uplus, AIS (Advanced Info Service), ACL Mobile,...
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News

Women in Tech: “Positions and opportunities in the technology field are endless”
7 June 2022

Minimizing the carbon footprint of data analysis, maximizing sustainability for data centers
7 June 2022

SQream at Asia Tech x Singapore 2022: Big Data and AI Crucial for Customer Experience and QoS
2 June 2022

SQream Appoints Naama Saar as New COO
16 May 2022

Panoply Partners with Square to Offer Simplified Business Intelligence
16 May 2022

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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

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