DBMS > Apache Druid vs. Elasticsearch vs. SpatiaLite vs. Stardog vs. Yaacomo

System Properties Comparison Apache Druid vs. Elasticsearch vs. SpatiaLite vs. Stardog vs. Yaacomo

Editorial information provided by DB-Engines

Name

Description

Open-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality data

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

Spatial extension of SQLite

Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization

OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing

Primary database model

Relational DBMS
Time Series DBMS

Secondary database models

Document store
Spatial DBMS

Relational DBMS

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

Score	3.00
Rank	#105	Overall
	#54	Relational DBMS
	#6	Time Series DBMS

Score	157.69
Rank	#8	Overall
	#1	Search engines

Score	1.89
Rank	#127	Overall
	#2	Spatial DBMS

Score	1.88
Rank	#128	Overall
	#10	Graph DBMS
	#6	RDF stores

Score	0.00
Rank	#354	Overall
	#152	Relational DBMS

Website

druid.apache.org

www.elastic.co/elasticsearch

www.gaia-gis.it/fossil/libspatialite/index

www.stardog.com

yaacomo.com

Technical documentation

druid.apache.org/docs/latest/design

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

www.gaia-gis.it/gaia-sins/spatialite_topics.html

docs.stardog.com

Developer

Apache Software Foundation and contributors

Elastic

Alessandro Furieri

Stardog-Union

Q2WEB GmbH

Initial release

2012

2010

2008

2010

2009

Current release

0.22.1, December 2021

7.8.0, June 2020

5.0.0, August 2020

7.3.0, May 2020

License

Commercial or Open Source

Open Source

Apache license v2

Open Source

Elastic License

Open Source

MPL 1.1, GPL v2.0 or LGPL v2.1

commercial

60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students

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++

Java

Server operating systems

Linux
OS X
Unix

All OS with a Java VM

server-less

Linux
macOS
Windows

Android
Linux
Windows

Data scheme

yes

schema-less columns are supported

schema-free

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

yes

schema-free and OWL/RDFS-schema support

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.

Import/export of XML data possible

Secondary indexes

yes

All search fields are automatically indexed

yes

supports real-time indexing in full-text and geospatial

yes

SQL

Support of SQL

SQL for querying

SQL-like query language

yes

Yes, compatible with all major SQL variants through dedicated BI/SQL Server

yes

APIs and other access methods

JDBC
RESTful HTTP/JSON API

Java API
RESTful HTTP/JSON API

GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3

JDBC
ODBC

Supported programming languages

Clojure
JavaScript
PHP
Python
R
Ruby
Scala

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

.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby

Server-side scripts

Stored procedures

yes

user defined functions and aggregates, HTTP Server extensions in Java

Triggers

yes

by using the 'percolation' feature

yes

via event handlers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

manual/auto, time-based

Sharding

none

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

yes, via HDFS, S3 or other storage engines

yes

none

Multi-source replication in HA-Cluster

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

ES-Hadoop Connector

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

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

Immediate Consistency in HA-Cluster

Immediate Consistency

Foreign keys

Referential integrity

yes

relationships in graphs

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

yes

User concepts

Access control

RBAC using LDAP or Druid internals for users and groups for read/write by datasource and system

Access rights for users and roles

fine grained access rights according to SQL-standard

More information provided by the system vendor

Specific characteristics

Stardog is an Enterprise Knowledge Graph platform, uniquely combining graph storage...
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Competitive advantages

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Typical application scenarios

Stardog is frequently used for: Supply chain optimization Operational Risk Digital...
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Key customers

Bosch, NASA, Boehringer Ingelheim, Morgan Stanley, Schneider Electric, FINRA and...
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Market metrics

Stardog's technology is based on ground-breaking research by our founders cited 10,000+...
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Licensing and pricing models

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