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DBMS > Blueflood vs. Google Cloud Datastore vs. InterSystems IRIS vs. Transbase vs. Warp 10

System Properties Comparison Blueflood vs. Google Cloud Datastore vs. InterSystems IRIS vs. Transbase vs. Warp 10

Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonTransbase  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityA resource-optimized, high-performance, universally applicable RDBMSTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelTime Series DBMSDocument storeDocument 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
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score3.54
Rank#84  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.17
Rank#334  Overall
#148  Relational DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websiteblueflood.iocloud.google.com/­datastorewww.intersystems.com/­products/­intersystems-iriswww.transaction.de/­en/­products/­transbase.htmlwww.warp10.io
Technical documentationgithub.com/­rax-maas/­blueflood/­wikicloud.google.com/­datastore/­docsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clswww.transaction.de/­en/­products/­transbase/­features.htmlwww.warp10.io/­content/­02_Getting_started
DeveloperRackspaceGoogleInterSystemsTransaction Software GmbHSenX
Initial release20132008201819872015
Current release2023.3, June 2023Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercial infofree development licenseOpen Source infoApache License 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 languageJavaC and C++Java
Server operating systemsLinux
OS X
hostedAIX
Linux
macOS
Ubuntu
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Linux
OS X
Windows
Data schemepredefined schemeschema-freedepending on used data modelyesschema-free
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.nonoyesnono
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLnoSQL-like query language (GQL)yesyesno
APIs and other access methodsHTTP RESTgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary native API
HTTP API
Jupyter
WebSocket
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnousing Google App Engineyesyesyes infoWarpScript
TriggersnoCallbacks using the Google Apps Engineyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraMulti-source replication using PaxosSource-replica replicationSource-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate 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 ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDyesno
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.nonoyesnoyes
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yesfine grained access rights according to SQL-standardMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
BluefloodGoogle Cloud DatastoreInterSystems IRISTransbaseWarp 10
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
BluefloodGoogle Cloud DatastoreInterSystems IRISTransbaseWarp 10
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