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DBMS > Elasticsearch vs. Yaacomo

System Properties Comparison Elasticsearch vs. Yaacomo

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonYaacomo  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 metricOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelSearch engineRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score158.25
Rank#8  Overall
#1  Search engines
Score0.01
Rank#346  Overall
#145  Relational DBMS
Websitewww.elastic.co/­elasticsearchyaacomo.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.html
DeveloperElasticQ2WEB GmbH
Initial release20102009
Current release7.8.0, June 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; Elastic Licensecommercial
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 languageJava
Server operating systemsAll OS with a Java VMAndroid
Linux
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyes
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
SQL infoSupport of SQLSQL-like query languageyes
APIs and other access methodsJava API
RESTful HTTP/JSON API
JDBC
ODBC
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes
Triggersyes infoby using the 'percolation' featureyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication
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, allImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
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 integrationyes
User concepts infoAccess controlfine grained access rights according to SQL-standard

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More resources
ElasticsearchYaacomo
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Recent citations in the news

How to install the Elasticsearch analytics engine with a handy GUI on AlmaLinux
7 October 2021, TechRepublic

Scaling Elasticsearch Percolation for Government Data | by Jake Sager | FiscalNoteworthy | Oct, 2021
22 October 2021, Medium

Webinar: How to secure your sensitive data in Elasticsearch
13 October 2021, Help Net Security

Elastic Showcases How Customers Solve Data Challenges with the Power of Search at ElasticON Global Virtual Conference
7 October 2021, Business Wire

Telegraph newspaper bares 10TB of subscriber data and server logs to world+dog
5 October 2021, The Register

provided by Google News

Staying power: the growing impact of PostgreSQL on enterprise marks Postgres Vision 2021
15 June 2021, SiliconANGLE News

provided by Google News

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