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DBMS > Elasticsearch vs. Heroic

System Properties Comparison Elasticsearch vs. Heroic

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Our visitors often compare Elasticsearch and Heroic with Trino, SingleStore and Couchbase.

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonHeroic  Xexclude from comparison
DescriptionA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch
Primary database modelSearch engine
Vector DBMS
Time Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score128.08
Rank#8  Overall
#1  Search engines
#1  Vector DBMS
Score0.02
Rank#364  Overall
#39  Time Series DBMS
Websitewww.elastic.co/­elasticsearchgithub.com/­spotify/­heroic
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlspotify.github.io/­heroic
DeveloperElasticSpotify
Initial release20102014
Current release8.6, January 2023
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemsAll OS with a Java VM
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free
Typing infopredefined data types such as float or dateyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesyes infoAll search fields are automatically indexedyes infovia Elasticsearch
SQL infoSupport of SQLSQL-like query languageno
APIs and other access methodsJava API
RESTful HTTP/JSON API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesno
Triggersyes infoby using the 'percolation' featureno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectorno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationno

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More resources
ElasticsearchHeroic
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Recent citations in the news

Elastic unveils upgrades for Elasticsearch on Google CPUs
15 April 2025, IT Brief Asia

Elastic Delivers Performance Gains for Users Running Elasticsearch on Google Axion Processors
10 April 2025, Business Wire

Elastic Delivers Performance Gains for Users Running Elasticsearch on Google Axion Processors
10 April 2025, Yahoo Finance

Elasticsearch will be open source again as CTO declares changed landscape
2 September 2024, devclass

Elastic Unlocks 40% Faster Search Performance with Google's New Axion Processors
10 April 2025, Stock Titan

provided by Google News

How Code Wizards load tested Heroic Labs’ Nakama to two million concurrent players with AWS
1 October 2024, Amazon Web Services

Review: Google Bigtable scales with ease
7 September 2016, InfoWorld

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