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DBMS > Elasticsearch vs. HugeGraph vs. IRONdb vs. Oracle Coherence vs. ReductStore

System Properties Comparison Elasticsearch vs. HugeGraph vs. IRONdb vs. Oracle Coherence vs. ReductStore

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonHugeGraph  Xexclude from comparisonIRONdb  Xexclude from comparisonOracle Coherence  Xexclude from comparisonReductStore  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
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 DBMSA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityOracles in-memory data grid solutionDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.
Primary database modelSearch engineGraph DBMSTime Series DBMSKey-value storeTime Series DBMS
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
Score1.97
Rank#129  Overall
#22  Key-value stores
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Websitewww.elastic.co/­elasticsearchgithub.com/­hugegraph
hugegraph.apache.org
www.circonus.com/solutions/time-series-database/www.oracle.com/­java/­coherencegithub.com/­reductstore
www.reduct.store
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlhugegraph.apache.org/­docsdocs.circonus.com/irondb/category/getting-starteddocs.oracle.com/­en/­middleware/­standalone/­coherencewww.reduct.store/­docs
DeveloperElasticBaiduCirconus LLC.OracleReductStore LLC
Initial release20102018201720072023
Current release8.6, January 20230.9V0.10.20, January 201814.1, August 20231.9, March 2024
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoApache Version 2.0commercialcommercialOpen Source infoBusiness Source License 1.1
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC and C++JavaC++, Rust
Server operating systemsAll OS with a Java VMLinux
macOS
Unix
LinuxAll OS with a Java VMDocker
Linux
macOS
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsyes
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 indexesyes infoAll search fields are automatically indexedyes infoalso supports composite index and range indexnono
SQL infoSupport of SQLSQL-like query languagenoSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsJava API
RESTful HTTP/JSON API
Java API
RESTful HTTP API
TinkerPop Gremlin
HTTP APIJCache
JPA
RESTful HTTP API
HTTP API
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Groovy
Java
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C++
Java
C++
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresyesasynchronous Gremlin script jobsyes, in Luano
Triggersyes infoby using the 'percolation' featurenonoyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseAutomatic, metric affinity per nodeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infodepending on used storage backend, e.g. Cassandra and HBaseconfigurable replication factor, datacenter awareyes, with selectable consistency level
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 per node, eventual consistency across nodesEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyesnoyes
User concepts infoAccess controlUsers, roles and permissionsnoauthentification to access the cache via certificates or http basic authentication

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More resources
ElasticsearchHugeGraphIRONdbOracle CoherenceReductStore
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