DBMS > Elasticsearch vs. GeoMesa vs. Microsoft SQL Server

System Properties Comparison Elasticsearch vs. GeoMesa vs. Microsoft SQL Server

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Editorial information provided by DB-Engines

Name

Description

A distributed, RESTful modern search and analytics engine based on Apache Lucene

Elasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metric

GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.

Microsofts flagship relational DBMS

Primary database model

Search engine

Spatial DBMS

Relational DBMS

Secondary database models

Document store
Spatial DBMS

Document store
Graph DBMS
Spatial DBMS

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

Score	158.25
Rank	#8	Overall
	#1	Search engines

Score	0.76
Rank	#199	Overall
	#3	Spatial DBMS

Score	970.61
Rank	#3	Overall
	#3	Relational DBMS

Website

www.elastic.co/elasticsearch

www.geomesa.org

www.microsoft.com/en-us/sql-server

Technical documentation

www.elastic.co/guide/en/elasticsearch/reference/current/index.html

www.geomesa.org/documentation/stable/user/index.html

docs.microsoft.com/en-US/sql/sql-server

Developer

Elastic

CCRi and others

Microsoft

Initial release

2010

2014

1989

Current release

7.8.0, June 2020

3.1.1, January 2021

SQL Server 2019, November 2019

License

Commercial or Open Source

Open Source

Apache Version 2; Elastic License

Open Source

Apache License 2.0

commercial

restricted free version is available

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

Scala

C++

Server operating systems

All OS with a Java VM

Linux
Windows

Data scheme

schema-free

Flexible type definitions. Once a type is defined, it is persistent

yes

Typing

predefined data types such as float or date

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

SQL-like query language

yes

APIs and other access methods

Java API
RESTful HTTP/JSON API

ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)

Supported programming languages

.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby

C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic

Server-side scripts

Stored procedures

yes

Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Java

Triggers

yes

by using the 'percolation' feature

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

depending on storage layer

tables can be distributed across several files (horizontal partitioning); sharding through federation

Replication methods

Methods for redundantly storing data on multiple nodes

yes

depending on storage layer

yes, but depending on the SQL-Server Edition

MapReduce

Offers an API for user-defined Map/Reduce methods

ES-Hadoop Connector

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all

depending on storage layer

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

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

Memcached and Redis integration

depending on storage layer

yes

User concepts

Access control

yes

depending on the DBMS used for storage

fine grained access rights according to SQL-standard

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

3rd parties

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DBHawk: Secure access to SQL, NoSQL and Cloud databases with an all-in-one solution.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

DB-Engines blog posts

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

Elasticsearch moved into the top 10 most popular database management systems
3 July 2017, Matthias Gelbmann

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

show all

Spatial database management systems
6 April 2021, Matthias Gelbmann

show all

MySQL is the DBMS of the Year 2019
3 January 2020, Matthias Gelbmann, Paul Andlinger

The struggle for the hegemony in Oracle's database empire
2 May 2017, Paul Andlinger

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

show all

Recent citations in the news

How to install the Elasticsearch analytics engine with a handy GUI on AlmaLinux
7 October 2021, TechRepublic

Webinar: How to secure your sensitive data in Elasticsearch
13 October 2021, Help Net Security

Elastic Announces Native Integration with Google Cloud Dataflow in Elastic Cloud, and Enhancements to Runtime Fields in Elasticsearch and Kibana
24 September 2021, Yahoo Finance

Elastic Showcases How Customers Solve Data Challenges with the Power of Search at ElasticON Global Virtual Conference
7 October 2021, Business Wire

Telegraph newspaper bares 10TB of subscriber data and server logs to world+dog
5 October 2021, The Register

provided by Google News

The 4 Best SQL Server Tutorials to Watch on YouTube Right Now
27 September 2021, Solutions Review

Best practices for running Microsoft SQL Server on AWS
18 October 2021, IT PRO

That One Easy Trick for SQL Server Performance
28 September 2021, Redmondmag.com

FlexPod Datacenter & SQL Server: A Championship Team Gets Better!
18 October 2021, Marketscreener.com

It's time to get off Windows and SQL Server 2012 (or run them on Azure)
1 October 2021, TechRepublic

provided by Google News

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