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DBMS > Elasticsearch vs. GRAKN.AI vs. RocksDB

System Properties Comparison Elasticsearch vs. GRAKN.AI vs. RocksDB

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonGRAKN.AI  Xexclude from comparisonRocksDB  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 metricGrakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.Embeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelSearch engineGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Key-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score150.25
Rank#7  Overall
#1  Search engines
Score0.23
Rank#248  Overall
#19  Graph DBMS
#116  Relational DBMS
Score2.42
Rank#99  Overall
#18  Key-value stores
Websitewww.elastic.co/­products/­elasticsearchgrakn.airocksdb.org
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldev.grakn.ai/­docsgithub.com/­facebook/­rocksdb/­wiki
DeveloperElasticGrakn Labs LtdFacebook, Inc.
Initial release201020162013
Current release7.3.0, August 20191.6.1, December 20196.3.6, October 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; Elastic LicenseOpen Source infoGPL Version 3, commercial licenses availableOpen Source infoBSD
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 AWS and GCP that's powered by the creators of Elasticsearch.
Implementation languageJavaJavaC++
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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 indexedyesno
SQL infoSupport of SQLSQL-like query languagenono
APIs and other access methodsJava API
RESTful HTTP/JSON API
console (shell)
gRPC protocol
Workbase (visualisation software)
C++ API
Java API
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
C++
Java
Server-side scripts infoStored proceduresyesnono
Triggersyes infoby using the 'percolation' featurenono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoby using Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMaster-master replication infoby using Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryes infoby using Apache Kafka and Apache Zookeeperno
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, allImmediate Consistency
Foreign keys infoReferential integritynono infosubstituted by the relationship featureno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationnoyes
User concepts infoAccess controlyes infoat REST API level; other APIs in progressno
More information provided by the system vendor
ElasticsearchGRAKN.AIRocksDB
Specific characteristicsElasticsearch is a highly scalable open source full-text search and analytics engine....
» more
Grakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more
Competitive advantagesOpen source, real-time index, search and analysis, horizontally scalable, distributed,...
» more
Expressive and flexible data model: The meta-schema of Grakn allows for modelling...
» more
Typical application scenarios
» more
Life sciences : Grakn makes working with biological data much easier and accelerates...
» more
Key customers
» more
Market metricsMore than 250 million cumulative downloads More than 100,000 community members in...
» more
Licensing and pricing modelsThe Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash) is free and open source...
» more
AGPL and Commercial . The commercial license is priced based on cluster resources...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
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 hosted Elasticsearch.
» more

Dremio: Analyze your data with standard SQL and any BI tool. Accelerate your queries up to 1,000x.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
ElasticsearchGRAKN.AIRocksDB
DB-Engines blog posts

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2 January 2018, Paul Andlinger, Matthias Gelbmann

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3 July 2017, Matthias Gelbmann

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2 March 2016, Paul Andlinger

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Conferences and events

Grakn Cosmos, the universal conference of technologies built using Grakn
London, UK, 6-7 February 2020

Recent citations in the news

AWS Bolsters Redshift, Elasticsearch Services
4 December 2019, Datanami

AWS announces UltraWarm tier for Amazon Elasticsearch Service
3 December 2019, TechCrunch

Exposed: Amazon Elasticsearch exposure
15 November 2019, Naked Security

Elasticsearch Server Exposed 1.2 Billion People Data
25 November 2019, CISO MAG

An unsecured Elasticsearch server exposed 1.2 billion user records containing their personal and social information
26 November 2019, Packt Hub

provided by Google News

GRAKN.AI: How Haikal Pribadi went from being a refugee to building a database for AI systems
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