DBMS > Aerospike vs. Elasticsearch vs. Google Search Appliance vs. OmniSci

System Properties Comparison Aerospike vs. Elasticsearch vs. Google Search Appliance vs. OmniSci

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Editorial information provided by DB-Engines

Name

Description

Flash-optimized In-memory NoSQL Database

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

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

The Google Search Appliance consists of hardware and software for indexing documents in local networks.

A high performance, in-memory, column-oriented RDBMS, designed to run on GPUs

Primary database model

Key-value store

Search engine

Relational DBMS

Secondary database models

Document store

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

Score	6.21
Rank	#53	Overall
	#7	Key-value stores

Score	150.25
Rank	#7	Overall
	#1	Search engines

Score	2.81
Rank	#90	Overall
	#10	Search engines

Score	2.30
Rank	#104	Overall
	#50	Relational DBMS

Website

www.aerospike.com

www.elastic.co/products/elasticsearch

enterprise.google.com/search/products/gsa.html

www.omnisci.com

Technical documentation

www.aerospike.com/docs

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

support.google.com/gsa

docs.omnisci.com/latest

Developer

Aerospike

Elastic

Google

MapD Technologies, Inc.

Initial release

2012

2010

2002

2016

Current release

4.2.0.4, June 2018

7.3.0, August 2019

License

Commercial or Open Source

Open Source info

Apache and AGPL Licenses; open sourced in June 2014; commercial Enterprise Edition available

Open Source info

Apache Version 2; Elastic License

commercial

Open Source info

Apache Version 2; enterprise edition available

Cloud-based only info

Only available as a cloud service

DBaaS offerings (sponsored links) info

Database as a Service

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

Elasticsearch Service on Elastic Cloud: Try out the official hosted Elasticsearch and Kibana offering available on AWS and GCP that's powered by the creators of Elasticsearch.

Implementation language

Java

C++ and CUDA

Server operating systems

Linux

All OS with a Java VM

Linux

Data scheme

schema-free

schema-free info

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

yes

Typing

predefined data types such as float or date

yes

XML support info

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

All search fields are automatically indexed

SQL

Support of SQL

SQL-like query language

yes

APIs and other access methods

JDBC
Proprietary protocol

Java API
RESTful HTTP/JSON API

Administrative API
Browser interface
HTTP API

JDBC
ODBC
Thrift

Supported programming languages

.Net
C
C#
C++
Erlang
Go
Java
JavaScript (Node.js)
Lua
Perl
PHP
Python
Ruby

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

All languages supporting JDBC/ODBC/Thrift
Python

Server-side scripts info

Stored procedures

user defined functions info

with Lua

yes

Triggers

yes

by using the 'percolation' feature

Partitioning methods info

Methods for storing different data on different nodes

Sharding

Round robin

Replication methods info

Methods for redundantly storing data on multiple nodes

selectable replication factor

yes

Master-slave replication

Master-master replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Aerospike Aggregation Framework is similar to Map/Reduce

ES-Hadoop Connector

Consistency concepts info

Methods to ensure consistency in a distributed system

Eventual Consistency in cross-datacenter configuration and Immediate Consistency in local cluster configuration

Eventual Consistency info

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

Immediate Consistency

Foreign keys info

Referential integrity

Transaction concepts info

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

Atomic execution of operations

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

In-memory capabilities info

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

yes

Memcached and Redis integration

yes

User concepts info

Access control

Access rights for users and roles info

with Enterprise Edition only

User authentication via various security protocols

fine grained access rights according to SQL-standard

More information provided by the system vendor

Specific characteristics

Aerospike is an enterprise-class, NoSQL database solution delivering predictable...
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Elasticsearch is a highly scalable open source full-text search and analytics engine....
» more

Competitive advantages

Optimized for use with SSDs (solid-state hard drives) Scales horizontally and vertically...
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Open source, real-time index, search and analysis, horizontally scalable, distributed,...
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Typical application scenarios

Aerospike excels in mission-critical applications that have mixed read/write workloads...
» more

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Key customers

Nielsen, Williams-Sonoma, Inmobi, AppNexus, Telco (confidential), Financial Services...
» more

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Market metrics

Aerospike's combination of speed, scalability, and reliability delivers 10x performance...
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More than 250 million cumulative downloads More than 100,000 community members in...
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Licensing and pricing models

Subscription-based Enterprise Edition and free, open-source Community Edition
» more

The Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash) is free and open source...
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