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DBMS > Elasticsearch vs. FeatureBase vs. NebulaGraph vs. Prometheus

System Properties Comparison Elasticsearch vs. FeatureBase vs. NebulaGraph vs. Prometheus

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonFeatureBase  Xexclude from comparisonNebulaGraph  Xexclude from comparisonPrometheus  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 metricReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.A distributed, linear scalable, high perfomant Graph DBMSOpen-source Time Series DBMS and monitoring system
Primary database modelSearch engineRelational DBMSGraph DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score128.79
Rank#8  Overall
#1  Search engines
Score0.23
Rank#296  Overall
#134  Relational DBMS
Score1.92
Rank#122  Overall
#11  Graph DBMS
Score7.56
Rank#49  Overall
#3  Time Series DBMS
Websitewww.elastic.co/­elasticsearchwww.featurebase.comgithub.com/­vesoft-inc/­nebula
www.nebula-graph.io
prometheus.io
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.featurebase.comdocs.nebula-graph.ioprometheus.io/­docs
DeveloperElasticMolecula and Pilosa Open Source ContributorsVesoft Inc.
Initial release2010201720192015
Current release8.6, January 20232022, May 2022
License infoCommercial or Open SourceOpen Source infoElastic LicensecommercialOpen Source infoApache Version 2.0 + Common Clause 1.0Open Source infoApache 2.0
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.
Implementation languageJavaGoC++Go
Server operating systemsAll OS with a Java VMLinux
macOS
LinuxLinux
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesStrong typed schemayes
Typing infopredefined data types such as float or dateyesyesyesNumeric data only
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 infoImport of XML data possible
Secondary indexesyes infoAll search fields are automatically indexednoyes infoNebula Graph internally uses the Key-Value store RocksDB for persistency. The vertices, edges, and their properties are stored as Key while their values are stored as Value. The primary indexes are per Key and secondary indexes are per Value.no
SQL infoSupport of SQLSQL-like query languageSQL queriesSQL-like query languageno
APIs and other access methodsJava API
RESTful HTTP/JSON API
gRPC
JDBC
Kafka Connector
ODBC
Browser interface
console (shell)
Cypher Query Language
GO Object Graph Mapper
Java Object Graph Mapper
NGBatis infoORM framework for NebulaGraph and Spring-Boot
Proprietary native API
Python Object Graph Mapper
Query language nGQL
RESTful HTTP/JSON API
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Java
Python
.Net
C++
Go
Java
PHP
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyesuser defined functionsno
Triggersyes infoby using the 'percolation' featurenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesCausal Clustering using Raft protocolyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornono
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 Consistencynone
Foreign keys infoReferential integritynoyesyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using Linux fsyncyes infousing RocksDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyesyesno
User concepts infoAccess controlRole-based access controlno
More information provided by the system vendor
ElasticsearchFeatureBaseNebulaGraphPrometheus
Specific characteristicsNebulaGraph is a truly distributed, linearly scalable, lightning-fast graph database,...
» more
Competitive advantagesNebulaGraph boasts the world's only graph database solution that is able to host...
» more
Typical application scenariosSocial networking Fraud detection Knowledge graph Data warehouse management Anti...
» more
Key customersCompanies from a variety of industries have implemented NebulaGraph Database in production,...
» more
Market metricsAt our very early stage, NebulaGraph has already received over 10,000 stars on GitHub...
» more
Licensing and pricing modelsNebulaGraph is open source and free to use under Apache 2.0 license.
» more

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More resources
ElasticsearchFeatureBaseNebulaGraphPrometheus
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