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DBMS > HBase vs. LeanXcale vs. Newts vs. PouchDB vs. STSdb

System Properties Comparison HBase vs. LeanXcale vs. Newts vs. PouchDB vs. STSdb

Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonLeanXcale  Xexclude from comparisonNewts  Xexclude from comparisonPouchDB  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesTime Series DBMS based on CassandraJavaScript DBMS with an API inspired by CouchDBKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelWide column storeKey-value store
Relational DBMS
Time Series DBMSDocument storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score31.25
Rank#26  Overall
#2  Wide column stores
Score0.35
Rank#283  Overall
#41  Key-value stores
#128  Relational DBMS
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Score2.35
Rank#116  Overall
#22  Document stores
Score0.06
Rank#365  Overall
#55  Key-value stores
Websitehbase.apache.orgwww.leanxcale.comopennms.github.io/­newtspouchdb.comgithub.com/­STSSoft/­STSdb4
Technical documentationhbase.apache.org/­book.htmlgithub.com/­OpenNMS/­newts/­wikipouchdb.com/­guides
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetLeanXcaleOpenNMS GroupApache Software FoundationSTS Soft SC
Initial release20082015201420122011
Current release2.3.4, January 20217.1.1, June 20194.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoApache 2.0Open SourceOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaScriptC#
Server operating systemsLinux
Unix
Windows infousing Cygwin
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)Windows
Data schemeschema-free, schema definition possibleyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesnoyes infoprimitive types and user defined types (classes)
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 infovia viewsno
SQL infoSupport of SQLnoyes infothrough Apache Derbynonono
APIs and other access methodsJava API
RESTful HTTP API
Thrift
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
HTTP REST
Java API
HTTP REST infoonly for PouchDB Server
JavaScript API
.NET Client API
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C
Java
Scala
JavaJavaScriptC#
Java
Server-side scripts infoStored proceduresyes infoCoprocessors in JavanoView functions in JavaScriptno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor infobased on CassandraMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnonono

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More resources
HBaseLeanXcaleNewtsPouchDBSTSdb
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