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DBMS > HBase vs. LMDB vs. SiriDB vs. Spark SQL

System Properties Comparison HBase vs. LMDB vs. SiriDB vs. Spark SQL

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonLMDB  Xexclude from comparisonSiriDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableA high performant, light-weight, embedded key-value database libraryOpen Source Time Series DBMSSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelWide column storeKey-value storeTime Series DBMSRelational 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
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitehbase.apache.orgwww.symas.com/­symas-embedded-database-lmdbsiridb.comspark.apache.org/­sql
Technical documentationhbase.apache.org/­book.htmlwww.lmdb.tech/­docdocs.siridb.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetSymasCesbitApache Software Foundation
Initial release2008201120172014
Current release2.3.4, January 20210.9.32, January 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache version 2Open SourceOpen Source infoMIT LicenseOpen 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 languageJavaCCScala
Server operating systemsLinux
Unix
Windows infousing Cygwin
Linux
Unix
Windows
LinuxLinux
OS X
Windows
Data schemeschema-free, schema definition possibleschema-freeyesyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyes infoNumeric datayes
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 SQLnononoSQL-like DML and DDL statements
APIs and other access methodsJava API
RESTful HTTP API
Thrift
HTTP APIJDBC
ODBC
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
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Java
Python
R
Scala
Server-side scripts infoStored proceduresyes infoCoprocessors in Javanonono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACIDnono
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.yesyesyesno
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnosimple rights management via user accountsno

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More resources
HBaseLMDBSiriDBSpark SQL
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