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DBMS > BigchainDB vs. Elasticsearch vs. Heroic

System Properties Comparison BigchainDB vs. Elasticsearch vs. Heroic

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonElasticsearch  Xexclude from comparisonHeroic  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA 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 modelDocument storeSearch engineTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#184  Overall
#28  Document stores
Score152.32
Rank#8  Overall
#1  Search engines
Score0.45
Rank#229  Overall
#14  Time Series DBMS
Websitewww.bigchaindb.comwww.elastic.co/­elasticsearchspotify.github.io/­heroic/­#!/­index
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlspotify.github.io/­heroic/­#!/­docs/­overview
DeveloperElasticSpotify
Initial release201620102014
Current release7.8.0, June 2020
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache Version 2; Elastic LicenseOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase 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 Amazon Web Services, Google Cloud and Microsoft Azure that's powered by the creators of Elasticsearch.
Implementation languagePythonJavaJava
Server operating systemsLinuxAll OS with a Java VM
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free
Typing infopredefined data types such as float or datenoyesyes
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.nonono
Secondary indexesyes infoAll search fields are automatically indexedyes infovia Elasticsearch
SQL infoSupport of SQLnoSQL-like query languageno
APIs and other access methodsCLI Client
RESTful HTTP API
Java API
RESTful HTTP/JSON API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.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 nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-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 integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationno
User concepts infoAccess controlyes
More information provided by the system vendor
BigchainDBElasticsearchHeroic
Specific characteristicsElasticsearch is an open source search and analytics engine. As the heart of the...
» more
Competitive advantagesOpen source Real-time indexsearch, and analysis Horizontally scalable Distributed...
» more
Typical application scenariosEnterprise search (search experiences for your workplace, apps, and websites), observability...
» more
Key customersThousands of organizations worldwide, including Cisco, eBay, Goldman Sachs, Microsoft,...
» more
Market metricsPublic as of October 2018 Distributed workforce with 1900+ employees around the globe​...
» more
Licensing and pricing modelsThe Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash) is free and open source...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesElastic Cloud: Try the official managed Elasticsearch.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
BigchainDBElasticsearchHeroic
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Recent citations in the news

Global Blockchain for Enterprise Applications Market Projected to Reach USD XX.XX billion by 2025- Barclays, BigchainDB, Block Array, ConsenSys, Digital Asset Holdings, Ericsson, etc.
6 August 2020, Bulletin Line

Blockchain for Enterprise Applications Market Share 2020 | Applied Blockchain, Barclays, BigchainDB, BlockArray LLC , Blockchain Technologies Corporation, CareChain AB
5 August 2020, Owned

Global Automotive Blockchain Market 2025 Expected to Reach Highest CAGR During COVID 19 crisis : IBM Corporation, carVertical, Helbiz, ShiftMobility, BigchainDB, XAIN etc.
4 August 2020, Owned

Blockchain in Media, Advertising, and Entertainment Market 2020 COVID-19 Worldwide Spread and Top Key Players – Clearcoin, Accenture, Metax, Decent, Bigchaindb, etc – Bulletin Line
5 August 2020, Bulletin Line

Supply Chain Blockchain for Automotive Market Worth Observing Growth | Microsoft, ConsenSys, Mesosphere
5 August 2020, Bulletin Line

provided by Google News

Elasticsearch - Principal Performance Engineer - Sizing and Capacity Planning — Elastic
3 August 2020, Built In Austin

Hacking Attacks on Elasticsearch and MongoDB
27 July 2020, Search Engine Journal

Senior Product Marketing Manager, Elasticsearch and ML — Elastic
28 July 2020, Built In Austin

What Led To The Recent CyberAttacks On MongoDB and Elasticsearch Databases
1 August 2020, Analytics India Magazine

Family Tree Maker exposes records online via unsecured Elasticsearch database
21 July 2020, SiliconANGLE

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

Why BlackBerry should change its name
17 December 2018, ZDNet

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