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DBMS > Blueflood vs. GigaSpaces vs. Microsoft Azure Cosmos DB vs. Oracle Rdb

System Properties Comparison Blueflood vs. GigaSpaces vs. Microsoft Azure Cosmos DB vs. Oracle Rdb

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonGigaSpaces  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonOracle Rdb  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsGlobally distributed, horizontally scalable, multi-model database service
Primary database modelTime Series DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Document store
Graph DBMS
Key-value store
Wide column store
Relational DBMS
Secondary database modelsGraph DBMS
Search engine
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.02
Rank#344  Overall
#31  Time Series DBMS
Score0.97
Rank#175  Overall
#30  Document stores
#6  Object oriented DBMS
Score40.22
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score1.18
Rank#162  Overall
#77  Relational DBMS
Websiteblueflood.iowww.gigaspaces.comazure.microsoft.com/­services/­cosmos-dbwww.oracle.com/­technetwork/­database/­database-technologies/­rdb/­overview/­index.html
Technical documentationgithub.com/­rackerlabs/­blueflood/­wikidocs.gigaspaces.com/­latest/­landing.htmldocs.microsoft.com/­azure/­cosmos-db
DeveloperRackspaceGigaspaces TechnologiesMicrosoftOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release2013200020141984
Current release15.5, September 20207.4.1.1, 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; Commercial licenses availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, C++, .Net
Server operating systemsLinux
OS X
Linux
macOS
Solaris
Windows
hostedHP Open VMS
Data schemepredefined schemeschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyes infoJSON typesyes
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.nono infoXML can be used for describing objects metadatano
Secondary indexesnoyesyes infoAll properties auto-indexed by defaultyes
SQL infoSupport of SQLnoSQL-99 for query and DML statementsSQL-like query languageyes
APIs and other access methodsHTTP RESTGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languages.Net
C++
Java
Python
Scala
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresnoyesJavaScript
Triggersnoyes, event driven architectureJavaScript
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDMulti-item ACID transactions with snapshot isolation within a partitionyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnoRole-based access controlAccess rights can be defined down to the item level
More information provided by the system vendor
BluefloodGigaSpacesMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBOracle Rdb
Specific characteristicsGigaSpaces, the pioneer of In-Memory Computing , drives enterprise digital transformation...
» more
Competitive advantages​ AI Driven Autonomous Operations – GigaSpaces’ unique AI driven technology simplifies...
» more
Typical application scenariosApplication Acceleration, Smart Caching, BI Acceleration on Fresh Data, Digital Integration...
» more
Key customersMorgan Stanley, Bank of America, Goldman Sachs, PriceRunner, Cerner, Societe Generale,...
» more
Market metricsForrester has positioned GigaSpaces as a strong performer in The Forrester Wave™:...
» more
Licensing and pricing modelsGigaSpaces offers both open source and commercial editions with annual subscriptions....
» more

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More resources
BluefloodGigaSpacesMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBOracle Rdb
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