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DBMS > HBase vs. Newts vs. Quasardb vs. VoltDB

System Properties Comparison HBase vs. Newts vs. Quasardb vs. VoltDB

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonNewts  Xexclude from comparisonQuasardb  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableTime Series DBMS based on CassandraDistributed, high-performance timeseries databaseDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelWide column storeTime Series DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websitehbase.apache.orgopennms.github.io/­newtsquasar.aiwww.voltdb.com
Technical documentationhbase.apache.org/­book.htmlgithub.com/­OpenNMS/­newts/­wikidoc.quasar.ai/­masterdocs.voltdb.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetOpenNMS GroupquasardbVoltDB Inc.
Initial release2008201420092010
Current release2.3.4, January 20213.14.1, January 202411.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++Java, C++
Server operating systemsLinux
Unix
Windows infousing Cygwin
Linux
OS X
Windows
BSD
Linux
OS X
Windows
Linux
OS X infofor development
Data schemeschema-free, schema definition possibleschema-freeschema-freeyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyes infointeger and binaryyes
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 indexesnonoyes infowith tagsyes
SQL infoSupport of SQLnonoSQL-like query languageyes infoonly a subset of SQL 99
APIs and other access methodsJava API
RESTful HTTP API
Thrift
HTTP REST
Java API
HTTP APIJava API
JDBC
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
Java.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyes infoCoprocessors in JavanonoJava
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor infobased on CassandraSource-replica replication with selectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynononono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)noACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTransient mode
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnoCryptographically strong user authentication and audit trailUsers and roles with access to stored procedures

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More resources
HBaseNewtsQuasardbVoltDB
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