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DBMS > Apache Drill vs. Brytlyt vs. InterSystems IRIS vs. SiteWhere vs. Splice Machine

System Properties Comparison Apache Drill vs. Brytlyt vs. InterSystems IRIS vs. SiteWhere vs. Splice Machine

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonBrytlyt  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonSiteWhere  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityM2M integration platform for persisting/querying time series dataOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#124  Overall
#22  Document stores
#59  Relational DBMS
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score3.54
Rank#84  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitedrill.apache.orgbrytlyt.iowww.intersystems.com/­products/­intersystems-irisgithub.com/­sitewhere/­sitewheresplicemachine.com
Technical documentationdrill.apache.org/­docsdocs.brytlyt.iodocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clssitewhere1.sitewhere.io/­index.htmlsplicemachine.com/­how-it-works
DeveloperApache Software FoundationBrytlytInterSystemsSiteWhereSplice Machine
Initial release20122016201820102014
Current release1.20.3, January 20235.0, August 20232023.3, June 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialOpen Source infoCommon Public Attribution License Version 1.0Open Source infoAGPL 3.0, commercial license available
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 languageC, C++ and CUDAJavaJava
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
AIX
Linux
macOS
Ubuntu
Windows
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesdepending on used data modelpredefined schemeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyes infospecific XML-type available, but no XML query functionality.yesno
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantyesyesnoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
RESTful HTTP API
HTTP RESTJDBC
Native Spark Datasource
ODBC
Supported programming languagesC++.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C++
Java
JavaScript (Node.js)
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsuser defined functions infoin PL/pgSQLyesyes infoJava
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on HBaseShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationselectable replication factor infobased on HBaseMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesnoyes
User concepts infoAccess controlDepending on the underlying data sourcefine grained access rights according to SQL-standardyesUsers with fine-grained authorization conceptAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
Apache DrillBrytlytInterSystems IRISSiteWhereSplice Machine
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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Apache DrillBrytlytInterSystems IRISSiteWhereSplice Machine
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