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DBMS > Brytlyt vs. Google Cloud Datastore vs. GridGain vs. InterSystems IRIS vs. Lovefield

System Properties Comparison Brytlyt vs. Google Cloud Datastore vs. GridGain vs. InterSystems IRIS vs. Lovefield

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonGridGain  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformGridGain is an in-memory computing platform, built on Apache IgniteA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityEmbeddable relational database for web apps written in pure JavaScript
Primary database modelRelational DBMSDocument storeKey-value store
Relational DBMS
Document store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Websitebrytlyt.iocloud.google.com/­datastorewww.gridgain.comwww.intersystems.com/­products/­intersystems-irisgoogle.github.io/­lovefield
Technical documentationdocs.brytlyt.iocloud.google.com/­datastore/­docswww.gridgain.com/­docs/­index.htmldocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperBrytlytGoogleGridGain Systems, Inc.InterSystemsGoogle
Initial release20162008200720182014
Current release5.0, August 2023GridGain 8.5.12023.3, June 20232.1.12, February 2017
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAJava, C++, .NetJavaScript
Server operating systemsLinux
OS X
Windows
hostedLinux
OS X
Solaris
Windows
AIX
Linux
macOS
Ubuntu
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeyesschema-freeyesdepending on used data modelyes
Typing infopredefined data types such as float or dateyesyes, details hereyesyesyes
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.noyesyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesSQL-like query language (GQL)ANSI-99 for query and DML statements, subset of DDLyesSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C++
Java
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLusing Google App Engineyes (compute grid and cache interceptors can be used instead)yesno
TriggersyesCallbacks using the Google Apps Engineyes (cache interceptors and events)yesUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication using Paxosyes (replicated cache)Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infovia ReferenceProperties or Ancestor pathsnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infousing MemoryDB
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Security Hooks for custom implementationsyesno
More information provided by the system vendor
BrytlytGoogle Cloud DatastoreGridGainInterSystems IRISLovefield
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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BrytlytGoogle Cloud DatastoreGridGainInterSystems IRISLovefield
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