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DBMS > atoti vs. Hyprcubd vs. Kyligence Enterprise vs. Prometheus

System Properties Comparison atoti vs. Hyprcubd vs. Kyligence Enterprise vs. Prometheus

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonHyprcubd  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonPrometheus  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Serverless Time Series DBMSA distributed analytics engine for big data, built on top of Apache KylinOpen-source Time Series DBMS and monitoring system
Primary database modelObject oriented DBMSTime Series DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Websiteatoti.iohyprcubd.com (offline)kyligence.io/­kyligence-enterpriseprometheus.io
Technical documentationdocs.atoti.ioprometheus.io/­docs
DeveloperActiveViamHyprcubd, Inc.Kyligence, Inc.
Initial release20162015
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJavaGo
Server operating systemshostedLinuxLinux
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringyesNumeric data only
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 infoImport of XML data possible
Secondary indexesnoyesno
SQL infoSupport of SQLMultidimensional Expressions (MDX)SQL-like query languageANSI SQL for queries (using Apache Calcite)no
APIs and other access methodsgRPC (https)JDBC
ODBC
RESTful HTTP API
RESTful HTTP/JSON API
Supported programming languages.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresPythonnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)noyesyes
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.yesnonono
User concepts infoAccess controltoken accessno

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More resources
atotiHyprcubdKyligence EnterprisePrometheus
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