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DBMS > atoti vs. EJDB vs. HBase vs. PouchDB vs. UniData,UniVerse

System Properties Comparison atoti vs. EJDB vs. HBase vs. PouchDB vs. UniData,UniVerse

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonEJDB  Xexclude from comparisonHBase  Xexclude from comparisonPouchDB  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Embeddable document-store database library with JSON representation of queries (in MongoDB style)Wide-column store based on Apache Hadoop and on concepts of BigTableJavaScript DBMS with an API inspired by CouchDBMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelObject oriented DBMSDocument storeWide column storeDocument storeMultivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.27
Rank#297  Overall
#44  Document stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score2.28
Rank#115  Overall
#21  Document stores
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websiteatoti.iogithub.com/­Softmotions/­ejdbhbase.apache.orgpouchdb.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationdocs.atoti.iogithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdhbase.apache.org/­book.htmlpouchdb.com/­guidesdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperActiveViamSoftmotionsApache Software Foundation infoApache top-level project, originally developed by PowersetApache Software FoundationRocket Software
Initial release2012200820121985
Current release2.3.4, January 20217.1.1, June 2019
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoGPLv2Open Source infoApache version 2Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCJavaJavaScriptC
Server operating systemsserver-lessLinux
Unix
Windows infousing Cygwin
server-less, requires a JavaScript environment (browser, Node.js)AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeschema-free, schema definition possibleschema-freeschema-free
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idoptions to bring your own types, AVROnooptional
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.nono
Secondary indexesnonoyes infovia viewsyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)nononoyes
APIs and other access methodsin-process shared libraryJava API
RESTful HTTP API
Thrift
HTTP REST infoonly for PouchDB Server
JavaScript API
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
JavaScript.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresPythonnoyes infoCoprocessors in JavaView functions in JavaScriptyes
Triggersnoyesyesyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnoneShardingSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoSingle row ACID (across millions of columns)noACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes infoRead/Write Lockingyesyes
Durability infoSupport for making data persistentyesyesyes 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.yesyesyes
User concepts infoAccess controlnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnoAccess rights according to SQL-standard and operating system based

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atotiEJDBHBasePouchDBUniData,UniVerse
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