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DBMS > HBase vs. InfinityDB vs. Postgres-XL vs. Quasardb

System Properties Comparison HBase vs. InfinityDB vs. Postgres-XL vs. Quasardb

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonInfinityDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableA Java embedded Key-Value Store which extends the Java Map interfaceBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresDistributed, high-performance timeseries database
Primary database modelWide column storeKey-value storeRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.08
Rank#365  Overall
#55  Key-value stores
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitehbase.apache.orgboilerbay.comwww.postgres-xl.orgquasar.ai
Technical documentationhbase.apache.org/­book.htmlboilerbay.com/­infinitydb/­manualwww.postgres-xl.org/­documentationdoc.quasar.ai/­master
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetBoiler Bay Inc.quasardb
Initial release200820022014 infosince 2012, originally named StormDB2009
Current release2.3.4, January 20214.010 R1, October 20183.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoMozilla public licensecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaCC++
Server operating systemsLinux
Unix
Windows infousing Cygwin
All OS with a Java VMLinux
macOS
BSD
Linux
OS X
Windows
Data schemeschema-free, schema definition possibleyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesschema-free
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyes infointeger and binary
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.nonoyes infoXML type, but no XML query functionalityno
Secondary indexesnono infomanual creation possible, using inversions based on multi-value capabilityyesyes infowith tags
SQL infoSupport of SQLnonoyes infodistributed, parallel query executionSQL-like query language
APIs and other access methodsJava API
RESTful HTTP API
Thrift
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
Java.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes infoCoprocessors in Javanouser defined functionsno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioningSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACID infoOptimistic locking for transactions; no isolation for bulk loadsACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes infoTransient mode
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnofine grained access rights according to SQL-standardCryptographically strong user authentication and audit trail

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More resources
HBaseInfinityDBPostgres-XLQuasardb
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