DBMS > Elasticsearch vs. Splunk vs. TempoIQ vs. YottaDB

System Properties Comparison Elasticsearch vs. Splunk vs. TempoIQ vs. YottaDB

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Editorial information provided by DB-Engines

Name

TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.

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

Analytics Platform for Big Data

Scalable analytics DBMS for sensor data, provided as a service (SaaS)

A fast and solid embedded Key-value store

Primary database model

Search engine

Time Series DBMS

Key-value store

Secondary database models

Document store
Spatial DBMS
Vector DBMS

Relational DBMS

using the Octo plugin

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

Score	135.35
Rank	#7	Overall
	#1	Search engines

Score	86.45
Rank	#14	Overall
	#2	Search engines

Score	0.20
Rank	#317	Overall
	#47	Key-value stores

Website

www.elastic.co/elasticsearch

www.splunk.com

tempoiq.com (offline)

yottadb.com

Technical documentation

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

docs.splunk.com/Documentation/Splunk

yottadb.com/resources/documentation

Developer

Elastic

Splunk Inc.

TempoIQ

YottaDB, LLC

Initial release

2010

2003

2012

2001

Current release

8.6, January 2023

License

Commercial or Open Source

Open Source

Elastic License

commercial

Limited free edition and free developer edition available

commercial

Open Source

AGPL 3.0

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Java

Server operating systems

All OS with a Java VM

Linux
OS X
Solaris
Windows

Docker
Linux

Data scheme

schema-free

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

yes

schema-free

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

Splunk Search Processing Language for search commands

by using the Octo plugin

APIs and other access methods

Java API
RESTful HTTP/JSON API

HTTP REST

HTTP API

PostgreSQL wire protocol

using the Octo plugin
Proprietary protocol

Supported programming languages

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

C#
Java
JavaScript
PHP
Python
Ruby

C#
Java
JavaScript

Node.js
Python
Ruby

C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust

Server-side scripts

Stored procedures

yes

Triggers

yes

by using the 'percolation' feature

yes

Realtime Alerts

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Multi-source replication

yes

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

Eventual Consistency

Foreign keys

Referential integrity

Transaction concepts

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

A 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching

optimistic locking

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

Access rights for users and roles

simple authentication-based access control

Users and groups based on OS-security mechanisms

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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

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

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Recent citations in the news

Elasticsearch Open Inference API Now Supports Microsoft Azure AI Studio
22 May 2024, Business Wire

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21 May 2024, insider.govtech.com

Splunk vs Elasticsearch | A Comparison and How to Choose
12 January 2024, SentinelOne

Netflix Uses Elasticsearch Percolate Queries to Implement Reverse Searches Efficiently
29 April 2024, InfoQ.com

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provided by Google News

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