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DBMS > atoti vs. Badger vs. BigObject vs. searchxml

System Properties Comparison atoti vs. Badger vs. BigObject vs. searchxml

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonBadger  Xexclude from comparisonBigObject  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.An embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Analytic DBMS for real-time computations and queriesDBMS for structured and unstructured content wrapped with an application server
Primary database modelObject oriented DBMSKey-value storeRelational DBMS infoa hierachical model (tree) can be imposedNative XML DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Websiteatoti.iogithub.com/­dgraph-io/­badgerbigobject.iowww.searchxml.net/­category/­products
Technical documentationdocs.atoti.iogodoc.org/­github.com/­dgraph-io/­badgerdocs.bigobject.iowww.searchxml.net/­support/­handouts
DeveloperActiveViamDGraph LabsBigObject, Inc.informationpartners gmbh
Initial release201720152015
Current release1.0
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache 2.0commercial infofree community edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Windows
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesyes
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
Secondary indexesnoyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)noSQL-like DML and DDL statementsno
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesGoC++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresPythonnoLuayes infoon the application server
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnonenoneImmediate Consistency
Foreign keys infoReferential integritynoyes infoautomatically between fact table and dimension tablesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonomultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes infoRead/write lock on objects (tables, trees)yes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlnonoDomain, group and role-based access control at the document level and for application services

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atotiBadgerBigObjectsearchxml
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28 November 2023, Risk.net

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