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DBMS > Elasticsearch vs. HugeGraph vs. Memgraph vs. Oracle Berkeley DB

System Properties Comparison Elasticsearch vs. HugeGraph vs. Memgraph vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonHugeGraph  Xexclude from comparisonMemgraph  Xexclude from comparisonOracle Berkeley DB  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 metricA fast-speed and highly-scalable Graph DBMSAn open source graph database built for real-time streaming and compatible with Neo4jWidely used in-process key-value store
Primary database modelSearch engineGraph DBMSGraph DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score132.83
Rank#7  Overall
#1  Search engines
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score3.19
Rank#94  Overall
#8  Graph DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Websitewww.elastic.co/­elasticsearchgithub.com/­hugegraph
hugegraph.apache.org
memgraph.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlhugegraph.apache.org/­docsmemgraph.com/­docsdocs.oracle.com/­cd/­E17076_05/­html/­index.html
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperElasticBaiduMemgraph LtdOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2010201820171994
Current release8.6, January 20230.918.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoApache Version 2.0Open Source infoBSL 1.1; commercial license for enterprise edition availableOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC and C++C, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsAll OS with a Java VMLinux
macOS
Unix
LinuxAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-free and schema-optionalschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nononoyes infoonly with the Berkeley DB XML edition
Secondary indexesyes infoAll search fields are automatically indexedyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLSQL-like query languagenonoyes infoSQL interfaced based on SQLite is available
APIs and other access methodsJava API
RESTful HTTP/JSON API
Java API
RESTful HTTP API
TinkerPop Gremlin
Bolt protocol
Cypher query language
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Groovy
Java
Python
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresyesasynchronous Gremlin script jobsno
Triggersyes infoby using the 'percolation' featurenoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infodynamic graph partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replication using RAFTSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectorvia hugegraph-sparknono
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infowith snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyesyesyes
User concepts infoAccess controlUsers, roles and permissionsUsers, roles and permissionsno
More information provided by the system vendor
ElasticsearchHugeGraphMemgraphOracle Berkeley DB
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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ElasticsearchHugeGraphMemgraphOracle Berkeley DB
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