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DBMS > Apache Druid vs. SingleStore vs. Splunk

System Properties Comparison Apache Druid vs. SingleStore vs. Splunk

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeAnalytics Platform for Big Data
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.29
Rank#95  Overall
#49  Relational DBMS
#7  Time Series DBMS
Score5.91
Rank#61  Overall
#34  Relational DBMS
Score88.71
Rank#14  Overall
#2  Search engines
Websitedruid.apache.orgwww.singlestore.comwww.splunk.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.singlestore.comdocs.splunk.com/­Documentation/­Splunk
DeveloperApache Software Foundation and contributorsSingleStore Inc.Splunk Inc.
Initial release201220132003
Current release29.0.1, April 20248.5, January 2024
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infofree developer edition availablecommercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageJavaC++, Go
Server operating systemsLinux
OS X
Unix
Linux info64 bit version requiredLinux
OS X
Solaris
Windows
Data schemeyes infoschema-less columns are supportedyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL for queryingyes infobut no triggers and foreign keysno infoSplunk Search Processing Language for search commands
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
HTTP REST
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Bash
C
C#
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infohash partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replication infostores two copies of each physical data partition on two separate nodesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan define user-defined aggregate functions for map-reduce-style calculationsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemFine grained access control via users, groups and rolesAccess rights for users and roles
More information provided by the system vendor
Apache DruidSingleStore infoformer name was MemSQLSplunk
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Apache DruidSingleStore infoformer name was MemSQLSplunk
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SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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