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DBMS > Brytlyt vs. GigaSpaces vs. InterSystems IRIS vs. Kinetica vs. Warp 10

System Properties Comparison Brytlyt vs. GigaSpaces vs. InterSystems IRIS vs. Kinetica vs. Warp 10

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonGigaSpaces  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonKinetica  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityFully vectorized database across both GPUs and CPUsTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Document store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSTime Series DBMS
Secondary database modelsGraph DBMS
Search engine
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#292  Overall
#132  Relational DBMS
Score0.91
Rank#197  Overall
#33  Document stores
#7  Object oriented DBMS
Score2.98
Rank#91  Overall
#17  Document stores
#14  Key-value stores
#1  Object oriented DBMS
#49  Relational DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score0.06
Rank#351  Overall
#35  Time Series DBMS
Websitebrytlyt.iowww.gigaspaces.comwww.intersystems.com/­products/­intersystems-iriswww.kinetica.comwww.warp10.io
Technical documentationdocs.brytlyt.iodocs.gigaspaces.com/­latest/­landing.htmldocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.kinetica.comwww.warp10.io/­content/­02_Getting_started
DeveloperBrytlytGigaspaces TechnologiesInterSystemsKineticaSenX
Initial release20162000201820122015
Current release5.0, August 202315.5, September 20202023.3, June 20237.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial licenses availablecommercialcommercialOpen Source infoApache License 2.0
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 CUDAJava, C++, .NetC, C++Java
Server operating systemsLinux
OS X
Windows
Linux
macOS
Solaris
Windows
AIX
Linux
macOS
Ubuntu
Windows
LinuxLinux
OS X
Windows
Data schemeyesschema-freedepending on used data modelyesschema-free
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.yes infospecific XML-type available, but no XML query functionality.no infoXML can be used for describing objects metadatayesnono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyesSQL-99 for query and DML statementsyesSQL-like DML and DDL statementsno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
HTTP API
Jupyter
WebSocket
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C++
Java
Python
Scala
.Net
C++
Java
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLyesyesuser defined functionsyes infoWarpScript
Triggersyesyes, event driven architectureyesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replicationSource-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlyesAccess rights for users and roles on table levelMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
BrytlytGigaSpacesInterSystems IRISKineticaWarp 10
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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BrytlytGigaSpacesInterSystems IRISKineticaWarp 10
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