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DBMS > Elasticsearch vs. RavenDB vs. RocksDB

System Properties Comparison Elasticsearch vs. RavenDB vs. RocksDB

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonRavenDB  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 metricOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelSearch engineDocument storeKey-value store
Secondary database modelsDocument store
Spatial DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score160.24
Rank#8  Overall
#1  Search engines
Score3.46
Rank#92  Overall
#16  Document stores
Score3.73
Rank#88  Overall
#14  Key-value stores
Websitewww.elastic.co/­elasticsearchravendb.netrocksdb.org
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlravendb.net/­docsgithub.com/­facebook/­rocksdb/­wiki
DeveloperElasticHibernating RhinosFacebook, Inc.
Initial release201020102013
Current release7.8.0, June 20205.2, June 20216.22.1, July 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; Elastic LicenseOpen Source infoAGPL version 3, commercial license 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.
Implementation languageJavaC#C++
Server operating systemsAll OS with a Java VMLinux
macOS
Raspberry Pi
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeschema-free
Typing infopredefined data types such as float or dateyesnono
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 indexedyesno
SQL infoSupport of SQLSQL-like query languageSQL-like query language (RQL)no
APIs and other access methodsJava API
RESTful HTTP/JSON API
.NET Client API
Java Client API
Python Client API
RESTful HTTP API
C++ API
Java API
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C#
Go
Java
JavaScript (Node.js)
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresyesyesno
Triggersyes infoby using the 'percolation' featureyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryes infoMapReduce functions can be defined in Linqno
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
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID, Cluster-wide transaction availableyes
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 integrationyes
User concepts infoAccess controlAccess control on document level using the Authorization Bundleno
More information provided by the system vendor
ElasticsearchRavenDBRocksDB
Specific characteristicsRavenDB is the pioneer NoSQL Document Database that is fully transactional (ACID)...
» more
Competitive advantagesRavenDB is easy to setup and secure. You can do it in a matter of minutes . Easy...
» more
Typical application scenariosIoT for Edge Deployments Fraud Detection Recommendation Engines Product Catalogs...
» more
Key customersToyota, Capgemini, Vodafone, Medicaid, Asos, Nomura, RMS Automotive, MSNBC, Pluralsight,...
» more
Market metrics2 million+ downloads 1000+ customers including Fortune 500 large enterprises
» more
Licensing and pricing modelsRavenDB is available on-premise and in the cloud. RavenDB Cloud is available on AWS...
» more

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

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More resources
ElasticsearchRavenDBRocksDB
DB-Engines blog posts

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2 March 2016, Paul Andlinger

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Recent citations in the news

Amazon Elasticsearch Service is so flexible it wants to be called by a new name
10 September 2021, The Register

AWS Renames Amazon Elasticsearch Service to Amazon OpenSearch Service
15 September 2021, InfoQ.com

ElasticSearch Fork OpenSearch is Generally Available
1 September 2021, CTOvision

Elastic Completes the Acquisition of Cmd | National Business | joplinglobe.com
21 September 2021, Joplin Globe

Elastic Announces the General Availability of the Elastic Cloud Terraform Provider
9 September 2021, Business Wire

provided by Google News

How to create a new database with RavenDB
6 January 2021, TechRepublic

NoSQL Databases Software Market In-Depth Analysis | Key Players- Amazon, Arango DB, Azure Cosmos DB, Couchbase – Stillwater Current
20 September 2021, Stillwater Current

RavenDB outperforms Couchbase, saving 85% of storage budget
14 April 2021, TechGenix

How to install the RavenDB NoSQL database on Ubuntu 20.04
20 October 2020, TechRepublic

RavenDB 5 Improves Distributed Time-Series, Document Compression, and Indexing
3 August 2020, InfoQ.com

provided by Google News

Did Rockset Just Solve Real-Time Analytics?
25 August 2021, Datanami

Toshiba Memory America Optimizes RocksDB for SSDs
5 August 2019, Business Wire

All 51 startups that debuted at Y Combinator W17 Demo Day 2
22 March 2017, TechCrunch

Information Builders Bets on Kafka for Real-Time Analytics
7 June 2019, RTInsights

Alluxio Bolsters Data Orchestration for Hybrid Cloud World
11 July 2019, Datanami

provided by Google News

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