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DBMS > Apache Druid vs. HugeGraph vs. IRONdb vs. Oracle Coherence vs. ReductStore

System Properties Comparison Apache Druid vs. HugeGraph vs. IRONdb vs. Oracle Coherence vs. ReductStore

Editorial information provided by DB-Engines
NameApache Druid  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.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA 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 modelRelational DBMS
Time Series DBMS
Graph DBMSTime Series DBMSKey-value storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
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
Websitedruid.apache.orggithub.com/­hugegraph
hugegraph.apache.org
www.circonus.com/solutions/time-series-database/www.oracle.com/­java/­coherencegithub.com/­reductstore
www.reduct.store
Technical documentationdruid.apache.org/­docs/­latest/­designhugegraph.apache.org/­docsdocs.circonus.com/irondb/category/getting-starteddocs.oracle.com/­en/­middleware/­standalone/­coherencewww.reduct.store/­docs
DeveloperApache Software Foundation and contributorsBaiduCirconus LLC.OracleReductStore LLC
Initial release20122018201720072023
Current release29.0.1, April 20240.9V0.10.20, January 201814.1, August 20231.9, March 2024
License infoCommercial or Open SourceOpen Source infoApache license v2Open 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 systemsLinux
OS X
Unix
Linux
macOS
Unix
LinuxAll OS with a Java VMDocker
Linux
macOS
Windows
Data schemeyes infoschema-less columns are supportedyesschema-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 indexesyesyes infoalso supports composite index and range indexnono
SQL infoSupport of SQLSQL for queryingnoSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Java API
RESTful HTTP API
TinkerPop Gremlin
HTTP APIJCache
JPA
RESTful HTTP API
HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
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 proceduresnoasynchronous Gremlin script jobsyes, in Luano
Triggersnononoyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedyes infodepending on used storage backend, e.g. Cassandra and HBaseAutomatic, metric affinity per nodeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes 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 methodsnovia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual 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.noyesnoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemUsers, roles and permissionsnoauthentification to access the cache via certificates or http basic authentication

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More resources
Apache DruidHugeGraphIRONdbOracle CoherenceReductStore
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