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DBMS > BoltDB vs. DolphinDB vs. Elasticsearch vs. Quasardb

System Properties Comparison BoltDB vs. DolphinDB vs. Elasticsearch vs. Quasardb

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonDolphinDB  Xexclude from comparisonElasticsearch  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Time Series DBMS for big data, integrated with a lightweight distributed computing framework and a vector programming languageA 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 metricDistributed, high-performance timeseries database
Primary database modelKey-value storeTime Series DBMSSearch engineTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.59
Rank#218  Overall
#37  Key-value stores
Score0.68
Rank#205  Overall
#12  Time Series DBMS
Score151.55
Rank#8  Overall
#1  Search engines
Score0.25
Rank#272  Overall
#23  Time Series DBMS
Websitegithub.com/­boltdb/­boltwww.dolphindb.comwww.elastic.co/­elasticsearchquasardb.net
Technical documentationwww.dolphindb.com/­helpwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldoc.quasardb.net
DeveloperDolphinDB, IncElasticquasardb
Initial release2013201820102009
Current release7.8.0, June 20203.1, January 2019
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercial infofree community version availableOpen Source infoApache Version 2; Elastic Licensecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
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 languageGoC++JavaC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
Windows
All OS with a Java VMBSD
Linux
OS X
Windows
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free
Typing infopredefined data types such as float or datenoyesyesyes infointeger and binary
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.nononono
Secondary indexesnonoyes infoAll search fields are automatically indexedyes infowith tags
SQL infoSupport of SQLnoSQL-like query languageSQL-like query languageSQL-like query language
APIs and other access methodsJDBC
ODBC
Java API
RESTful HTTP/JSON API
HTTP API
Supported programming languagesGoC#
C++
Java
JavaScript
Python
R
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoyesyesno
Triggersnonoyes infoby using the 'percolation' featureno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyesSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesES-Hadoop Connectorwith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual 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 integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesMemcached and Redis integrationyes infoTransient mode
User concepts infoAccess controlnoAdministrators, Users, GroupsCryptographically strong user authentication and audit trail
More information provided by the system vendor
BoltDBDolphinDBElasticsearchQuasardb
Specific characteristicsElasticsearch is an open source search and analytics engine. As the heart of the...
» more
High-performance , high-speed, fully integrated timeseries database Seamlessly combines...
» more
Competitive advantagesOpen source Real-time indexsearch, and analysis Horizontally scalable Distributed...
» more
High performance in a cost-effective small package Real-time results for even large...
» more
Typical application scenariosEnterprise search (search experiences for your workplace, apps, and websites), observability...
» more
Tick database Predictive maintenance Pre-deal checks Large scale monitoring
» more
Key customersThousands of organizations worldwide, including Cisco, eBay, Goldman Sachs, Microsoft,...
» more
Large EU investment banks US based hedge funds Orolia Tellmeplus
» more
Market metricsPublic as of October 2018 Distributed workforce with 1900+ employees around the globe​...
» more
Has been running in very demanding production environments since 2013 Rapid adoption...
» more
Licensing and pricing modelsThe Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash) is free and open source...
» more
Community edition limited to 2 nodes and 16 GiB of storage per node available for...
» more

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

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3rd partiesElastic Cloud: Try the official managed Elasticsearch.
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More resources
BoltDBDolphinDBElasticsearchQuasardb
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