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DBMS > HBase vs. LMDB vs. Microsoft Azure Table Storage vs. Postgres-XL

System Properties Comparison HBase vs. LMDB vs. Microsoft Azure Table Storage vs. Postgres-XL

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonLMDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableA high performant, light-weight, embedded key-value database libraryA Wide Column Store for rapid development using massive semi-structured datasetsBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelWide column storeKey-value storeWide column storeRelational 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
Score2.09
Rank#121  Overall
#20  Key-value stores
Score4.04
Rank#77  Overall
#6  Wide column stores
Score0.53
Rank#254  Overall
#117  Relational DBMS
Websitehbase.apache.orgwww.symas.com/­symas-embedded-database-lmdbazure.microsoft.com/­en-us/­services/­storage/­tableswww.postgres-xl.org
Technical documentationhbase.apache.org/­book.htmlwww.lmdb.tech/­docwww.postgres-xl.org/­documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetSymasMicrosoft
Initial release2008201120122014 infosince 2012, originally named StormDB
Current release2.3.4, January 20210.9.32, January 202410 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache version 2Open SourcecommercialOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC
Server operating systemsLinux
Unix
Windows infousing Cygwin
Linux
Unix
Windows
hostedLinux
macOS
Data schemeschema-free, schema definition possibleschema-freeschema-freeyes
Typing infopredefined data types such as float or dateoptions 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.nononoyes infoXML type, but no XML query functionality
Secondary indexesnononoyes
SQL infoSupport of SQLnononoyes infodistributed, parallel query execution
APIs and other access methodsJava API
RESTful HTTP API
Thrift
RESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyes infoCoprocessors in Javanonouser defined functions
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoImplicit feature of the cloud servicehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACIDoptimistic lockingACID infoMVCC
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.yesyesnono
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnoAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standard

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More resources
HBaseLMDBMicrosoft Azure Table StoragePostgres-XL
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