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DBMS > Blueflood vs. LevelDB vs. Microsoft Azure Cosmos DB vs. SQream DB vs. Valentina Server

System Properties Comparison Blueflood vs. LevelDB vs. Microsoft Azure Cosmos DB vs. SQream DB vs. Valentina Server

Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonLevelDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonSQream DB  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesGlobally distributed, horizontally scalable, multi-model database servicea GPU-based, columnar RDBMS for big data analytics workloadsObject-relational database and reports server
Primary database modelTime Series DBMSKey-value storeDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.05
Rank#320  Overall
#29  Time Series DBMS
Score3.08
Rank#98  Overall
#16  Key-value stores
Score40.04
Rank#26  Overall
#3  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.59
Rank#226  Overall
#110  Relational DBMS
Score0.24
Rank#278  Overall
#129  Relational DBMS
Websiteblueflood.iogithub.com/­google/­leveldbazure.microsoft.com/­services/­cosmos-dbsqream.comwww.valentina-db.net
Technical documentationgithub.com/­rackerlabs/­blueflood/­wikigithub.com/­google/­leveldb/­blob/­master/­doc/­index.mddocs.microsoft.com/­azure/­cosmos-dbdocs.sqream.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperRackspaceGoogleMicrosoftSQream TechnologiesParadigma Software
Initial release20132011201420141999
Current release1.23, February 20212021.2, September 20215.7.5
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSDcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++, CUDA, Haskell, Java, Scala
Server operating systemsLinux
OS X
Illumos
Linux
OS X
Windows
hostedLinuxLinux
OS X
Windows
Data schemepredefined schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyes infoJSON typesyes, ANSI Standard SQL 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
Secondary indexesnonoyes infoAll properties auto-indexed by defaultyesyes
SQL infoSupport of SQLnonoSQL-like query languageyesyes
APIs and other access methodsHTTP RESTDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
.Net
JDBC
ODBC
ODBC
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C++
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnonoJavaScriptuser defined functions in Pythonyes
TriggersnonoJavaScriptnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandranoneSharding infoImplicit feature of the cloud servicehorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandranoneyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoMulti-item ACID transactions with snapshot isolation within a partitionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnonoAccess rights can be defined down to the item levelfine grained access rights according to SQL-standard
More information provided by the system vendor
BluefloodLevelDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBSQream DBValentina Server
Specific characteristicsDue to exponentially growing data, organizations today are facing slowdowns, with...
» more
Competitive advantagesMuch faster time to insight Analyze significantly more data Achieve previously unobtainable...
» more
Typical application scenariosWhat can you do with 100x faster SQL analytics? Better and more timely decision making...
» more
Key customersSome of our customers include: LG Uplus, AIS (Advanced Info Service), ACL Mobile,...
» more
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More resources
BluefloodLevelDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBSQream DBValentina Server
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