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DBMS > atoti vs. Prometheus vs. Splunk

System Properties Comparison atoti vs. Prometheus vs. Splunk

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonPrometheus  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Open-source Time Series DBMS and monitoring systemAnalytics Platform for Big Data
Primary database modelObject oriented DBMSTime Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.59
Rank#242  Overall
#10  Object oriented DBMS
Score7.92
Rank#51  Overall
#2  Time Series DBMS
Score88.71
Rank#14  Overall
#2  Search engines
Websiteatoti.ioprometheus.iowww.splunk.com
Technical documentationdocs.atoti.ioprometheus.io/­docsdocs.splunk.com/­Documentation/­Splunk
DeveloperActiveViamSplunk Inc.
Initial release20152003
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache 2.0commercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGo
Server operating systemsLinux
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateNumeric data onlyyes
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.no infoImport of XML data possibleyes
Secondary indexesnoyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)nono infoSplunk Search Processing Language for search commands
APIs and other access methodsRESTful HTTP/JSON APIHTTP REST
Supported programming languages.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresPythonnoyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby FederationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlnoAccess rights for users and roles

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More resources
atotiPrometheusSplunk
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