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DBMS > Apache Druid vs. Heroic vs. Splice Machine vs. STSdb

System Properties Comparison Apache Druid vs. Heroic vs. Splice Machine vs. STSdb

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonHeroic  Xexclude from comparisonSplice Machine  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.57
Rank#92  Overall
#48  Relational DBMS
#6  Time Series DBMS
Score0.04
Rank#323  Overall
#29  Time Series DBMS
Score0.87
Rank#185  Overall
#89  Relational DBMS
Score0.08
Rank#306  Overall
#45  Key-value stores
Websitedruid.apache.orgspotify.github.io/­heroic/­#!/­indexsplicemachine.comgithub.com/­STSSoft/­STSdb4
Technical documentationdruid.apache.org/­docs/­latest/­designspotify.github.io/­heroic/­#!/­docs/­overviewdoc.splicemachine.com
DeveloperApache Software Foundation and contributorsSpotifySplice MachineSTS Soft SC
Initial release2012201420142011
Current release0.21.0, April 20213.1, March 20214.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0Open Source infoAGPL 3.0, commercial license availableOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC#
Server operating systemsLinux
OS X
Unix
Linux
OS X
Solaris
Windows
Windows
Data schemeyes infoschema-less columns are supportedschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes infoprimitive types and user defined types (classes)
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.nono
Secondary indexesyesyes infovia Elasticsearchyesno
SQL infoSupport of SQLSQL for queryingnoyesno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
Native Spark Datasource
ODBC
.NET Client API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresnonoyes infoJavano
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users, groups and roles according to SQL-standardno
More information provided by the system vendor
Apache DruidHeroicSplice MachineSTSdb
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More resources
Apache DruidHeroicSplice MachineSTSdb
Recent citations in the news

Imply Introduces Project Shapeshift, the Next Step in the Evolution of the Druid Experience
9 November 2021, Business Wire

Imply Names HR Veteran Jennifer Palecki As Chief People Officer
7 December 2021, Galveston County Daily News

Eric Tschetter Joins Imply as Field Chief Technology Officer, Reuniting with the Other Original Authors of Apache Druid
18 November 2021, Business Wire

NetSpring raises $13M to fuel operational intelligence suite
7 December 2021, TechTarget

SD Times news digest: Microsoft Design Kit 2.1 release; Imply introduces Project Shapeshift; Kyndryl and Microsoft announce partnership
12 November 2021, SDTimes.com

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Machine learning data pipeline outfit Splice Machine files for insolvency
26 August 2021, The Register

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Splice Machine Introduces New Edition of Livewire Operational AI Platform for Industrial Users
25 May 2021, PRNewswire

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