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DBMS > Apache Druid vs. Datomic vs. HugeGraph vs. Splunk

System Properties Comparison Apache Druid vs. Datomic vs. HugeGraph vs. Splunk

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonDatomic  Xexclude from comparisonHugeGraph  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA fast-speed and highly-scalable Graph DBMSAnalytics Platform for Big Data
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSGraph DBMSSearch engine
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
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score89.10
Rank#14  Overall
#2  Search engines
Websitedruid.apache.orgwww.datomic.comgithub.com/­hugegraph
hugegraph.apache.org
www.splunk.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.datomic.comhugegraph.apache.org/­docsdocs.splunk.com/­Documentation/­Splunk
DeveloperApache Software Foundation and contributorsCognitectBaiduSplunk Inc.
Initial release2012201220182003
Current release29.0.1, April 20241.0.6735, June 20230.9
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infolimited edition freeOpen Source infoApache Version 2.0commercial infoLimited free edition and free developer edition available
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 languageJavaJava, ClojureJava
Server operating systemsLinux
OS X
Unix
All OS with a Java VMLinux
macOS
Unix
Linux
OS X
Solaris
Windows
Data schemeyes infoschema-less columns are supportedyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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
Secondary indexesyesyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLSQL for queryingnonono infoSplunk Search Processing Language for search commands
APIs and other access methodsJDBC
RESTful HTTP/JSON API
RESTful HTTP APIJava API
RESTful HTTP API
TinkerPop Gremlin
HTTP REST
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Clojure
Java
Groovy
Java
Python
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsasynchronous Gremlin script jobsyes
TriggersnoBy using transaction functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednone infoBut extensive use of caching in the application peersyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnone infoBut extensive use of caching in the application peersyes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonovia hugegraph-sparkyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoUsers, roles and permissionsAccess rights for users and roles

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More resources
Apache DruidDatomicHugeGraphSplunk
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