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DBMS > Blueflood vs. Google Cloud Bigtable vs. HBase vs. Valentina Server

System Properties Comparison Blueflood vs. Google Cloud Bigtable vs. HBase vs. Valentina Server

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHBase  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Wide-column store based on Apache Hadoop and on concepts of BigTableObject-relational database and reports server
Primary database modelTime Series DBMSKey-value store
Wide column store
Wide column storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websiteblueflood.iocloud.google.com/­bigtablehbase.apache.orgwww.valentina-db.net
Technical documentationgithub.com/­rax-maas/­blueflood/­wikicloud.google.com/­bigtable/­docshbase.apache.org/­book.htmlvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperRackspaceGoogleApache Software Foundation infoApache top-level project, originally developed by PowersetParadigma Software
Initial release2013201520081999
Current release2.3.4, January 20215.7.5
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsLinux
OS X
hostedLinux
Unix
Windows infousing Cygwin
Linux
OS X
Windows
Data schemepredefined schemeschema-freeschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesnooptions to bring your own types, AVROyes
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.nonono
Secondary indexesnononoyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsHTTP RESTgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Java API
RESTful HTTP API
Thrift
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnonoyes infoCoprocessors in Javayes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-row operationsSingle row ACID (across millions of columns)
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nonoyesyes
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standard

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More resources
BluefloodGoogle Cloud BigtableHBaseValentina Server
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