DBMS > Elasticsearch vs. Heroic vs. Manticore Search vs. TigerGraph

System Properties Comparison Elasticsearch vs. Heroic vs. Manticore Search vs. TigerGraph

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Editorial information provided by DB-Engines

Name

Description

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

Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch

Open source search engine for searching in data from different sources. Forked of and compatible with Sphinx.

A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time

Primary database model

Secondary database models

Document store

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

Score	150.25
Rank	#7	Overall
	#1	Search engines

Score	0.19
Rank	#254	Overall
	#17	Time Series DBMS

Score	0.06
Rank	#304	Overall
	#16	Search engines

Score	0.96
Rank	#154	Overall
	#10	Graph DBMS

Website

www.elastic.co/products/elasticsearch

spotify.github.io/heroic/#!/index

manticoresearch.com

www.tigergraph.com

Technical documentation

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

spotify.github.io/heroic/#!/docs/overview

docs.manticoresearch.com/latest/html
github.com/manticoresoftware/manticoresearch

docs.tigergraph.com

Developer

Elastic

Spotify

Manticore Software

Initial release

2010

2014

2017

Current release

7.3.0, August 2019

License

Commercial or Open Source

Open Source info

Apache Version 2; Elastic License

Open Source info

Apache 2.0

Open Source info

GPL version 2

commercial

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++

Server operating systems

All OS with a Java VM

FreeBSD
Linux
NetBSD
OS X
Solaris
Windows

Linux

Data scheme

schema-free info

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

schema-free

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

yes

via Elasticsearch

yes

full-text index on all search fields

SQL

Support of SQL

SQL-like query language

SQL-like query language (GSQL)

APIs and other access methods

Java API
RESTful HTTP/JSON API

HQL (Heroic Query Language, a JSON-based language)
HTTP API

Proprietary protocol

GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API

Supported programming languages

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

C++

unofficial client library
Java
Perl info

unofficial client library
PHP
Python
Ruby info

unofficial client library

C++
Java

Server-side scripts info

Stored procedures

yes

Triggers

yes

by using the 'percolation' feature

Partitioning methods info

Methods for storing different data on different nodes

Sharding

Partitioning is done manually, search queries against distributed index is supported

Replication methods info

Methods for redundantly storing data on multiple nodes

yes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

ES-Hadoop Connector

yes

Consistency concepts info

Methods to ensure consistency in a distributed system

Eventual Consistency info

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

Eventual Consistency
Immediate Consistency

Foreign keys info

Referential integrity

yes

Relationships in graphs

Transaction concepts info

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

ACID

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

The original contents of fields are not stored in the Manticore index.

yes

In-memory capabilities info

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

Memcached and Redis integration

User concepts info

Access control

Role-based access control

More information provided by the system vendor

Specific characteristics

Elasticsearch is a highly scalable open source full-text search and analytics engine....
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TigerGraph is a native graph database, with massively parallel processing and fully...
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Competitive advantages

Open source, real-time index, search and analysis, horizontally scalable, distributed,...
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TigerGraph is the fastest and most scalable graph platform, powered by a native parallel...
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Typical application scenarios

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Anti Money Laundering Real-Time Fraud Detection Customer 360 Real-Time Personalized...
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Key customers

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TigerGraph’s proven technology supports applications such as fraud detection, customer...
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Market metrics

More than 250 million cumulative downloads More than 100,000 community members in...
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TigerGraph is 2x to more than 8000x faster at graph traversal and query response...
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Licensing and pricing models

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

NEW: TIGERGRAPH CLOUD - Fully managed Graph Database as a Service. Hourly pricing...
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