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DBMS > Blueflood vs. HBase vs. Kyligence Enterprise vs. Spark SQL

System Properties Comparison Blueflood vs. HBase vs. Kyligence Enterprise vs. Spark SQL

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonHBase  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraWide-column store based on Apache Hadoop and on concepts of BigTableA distributed analytics engine for big data, built on top of Apache KylinSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelTime Series DBMSWide column storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websiteblueflood.iohbase.apache.orgkyligence.io/­kyligence-enterprisespark.apache.org/­sql
Technical documentationgithub.com/­rax-maas/­blueflood/­wikihbase.apache.org/­book.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperRackspaceApache Software Foundation infoApache top-level project, originally developed by PowersetKyligence, Inc.Apache Software Foundation
Initial release2013200820162014
Current release2.3.4, January 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache version 2commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaScala
Server operating systemsLinux
OS X
Linux
Unix
Windows infousing Cygwin
LinuxLinux
OS X
Windows
Data schemepredefined schemeschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesyes
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.nononono
Secondary indexesnonoyesno
SQL infoSupport of SQLnonoANSI SQL for queries (using Apache Calcite)SQL-like DML and DDL statements
APIs and other access methodsHTTP RESTJava API
RESTful HTTP API
Thrift
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javano
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoSingle row ACID (across millions of columns)no
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.noyesnono
User concepts infoAccess controlnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACno

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More resources
BluefloodHBaseKyligence EnterpriseSpark SQL
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