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

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

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonIRONdb  Xexclude from comparisonOracle Coherence  Xexclude from comparisonQuasardb  Xexclude from comparisonReductStore  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA 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 solutionDistributed, high-performance timeseries databaseDesigned 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 modelGraph DBMSTime Series DBMSKey-value storeTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score1.97
Rank#129  Overall
#22  Key-value stores
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.circonus.com/solutions/time-series-database/www.oracle.com/­java/­coherencequasar.aigithub.com/­reductstore
www.reduct.store
Technical documentationhugegraph.apache.org/­docsdocs.circonus.com/irondb/category/getting-starteddocs.oracle.com/­en/­middleware/­standalone/­coherencedoc.quasar.ai/­masterwww.reduct.store/­docs
DeveloperBaiduCirconus LLC.OraclequasardbReductStore LLC
Initial release20182017200720092023
Current release0.9V0.10.20, January 201814.1, August 20233.14.1, January 20241.9, March 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen 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 languageJavaC and C++JavaC++C++, Rust
Server operating systemsLinux
macOS
Unix
LinuxAll OS with a Java VMBSD
Linux
OS X
Windows
Docker
Linux
macOS
Windows
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyesyes 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 indexesyes infoalso supports composite index and range indexnonoyes infowith tags
SQL infoSupport of SQLnoSQL-like query language (Circonus Analytics Query Language: CAQL)noSQL-like query language
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
HTTP APIJCache
JPA
RESTful HTTP API
HTTP APIHTTP API
Supported programming languagesGroovy
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
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyes, in Luanono
Triggersnonoyes infoLive Eventsno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseAutomatic, metric affinity per nodeShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseconfigurable replication factor, datacenter awareyes, with selectable consistency levelSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate consistency per node, eventual consistency across nodesEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoconfigurableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infooptionallyyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes infoTransient mode
User concepts infoAccess controlUsers, roles and permissionsnoauthentification to access the cache via certificates or http basic authenticationCryptographically strong user authentication and audit trail

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More resources
HugeGraphIRONdbOracle CoherenceQuasardbReductStore
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