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DBMS > Brytlyt vs. InterSystems IRIS vs. VoltDB vs. Warp 10

System Properties Comparison Brytlyt vs. InterSystems IRIS vs. VoltDB vs. Warp 10

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonVoltDB  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionScalable 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 scalabilityDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memoryTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.41
Rank#252  Overall
#120  Relational DBMS
Score1.74
Rank#130  Overall
#21  Document stores
#24  Key-value stores
#2  Object oriented DBMS
#64  Relational DBMS
Score1.72
Rank#132  Overall
#66  Relational DBMS
Score0.15
Rank#302  Overall
#26  Time Series DBMS
Websitewww.brytlyt.comwww.intersystems.com/­products/­intersystems-iriswww.voltdb.comwww.warp10.io
Technical documentationdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.voltdb.comwww.warp10.io/­content/­02_Getting_started
DeveloperBrytlytInterSystemsVoltDB Inc.SenX
Initial release2016201820102015
Current release0.9, October 20162021.1, June 202110.1, October 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro EditionsOpen Source infoApache License 2.0
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 languageC, C++ and CUDAJava, C++Java
Server operating systemsLinux
OS X
Windows
AIX
Linux
macOS
Windows
Linux
OS X infofor development
Linux
OS X
Windows
Data schemeyesdepending on used data modelyesschema-free
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.yes infospecific XML-type available, but no XML query functionality.yesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesyesyes infoonly a subset of SQL 99no
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
RESTful HTTP API
Java API
JDBC
RESTful HTTP/JSON API
HTTP API
Jupyter
WebSocket
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C++
Java
JavaScript (Node.js)
Python
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLyesJavayes infoWarpScript
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationMulti-source replication
Source-replica replication
selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesyesno infoFOREIGN KEY constraints are not supportedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoTransactions are executed single-threaded within stored proceduresno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the serveryes
Durability infoSupport for making data persistentyesyesyes infoSnapshots and command loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesUsers and roles with access to stored proceduresMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
BrytlytInterSystems IRISVoltDBWarp 10
Recent citations in the news

Brytlyt Unleashes Serverless GPU-Acceleration for Analytics
15 September 2021, PRNewswire

Brytlyt Awarded US Patent for Relational JOINs Algorithm
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