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DBMS > atoti vs. Hawkular Metrics vs. Kyligence Enterprise vs. NSDb

System Properties Comparison atoti vs. Hawkular Metrics vs. Kyligence Enterprise vs. NSDb

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonNSDb  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A distributed analytics engine for big data, built on top of Apache KylinScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
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
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websiteatoti.iowww.hawkular.orgkyligence.io/­kyligence-enterprisensdb.io
Technical documentationdocs.atoti.iowww.hawkular.org/­hawkular-metrics/­docs/­user-guidensdb.io/­Architecture
DeveloperActiveViamCommunity supported by Red HatKyligence, Inc.
Initial release201420162017
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0
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 languageJavaJavaJavaJava, Scala
Server operating systemsLinux
OS X
Windows
LinuxLinux
macOS
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, string
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 indexesnoyesall fields are automatically indexed
SQL infoSupport of SQLMultidimensional Expressions (MDX)noANSI SQL for queries (using Apache Calcite)SQL-like query language
APIs and other access methodsHTTP RESTJDBC
ODBC
RESTful HTTP API
gRPC
HTTP REST
WebSocket
Supported programming languagesGo
Java
Python
Ruby
Java
Scala
Server-side scripts infoStored proceduresPythonnono
Triggersyes infovia Hawkular Alerting
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency
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)yesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlno

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More resources
atotiHawkular MetricsKyligence EnterpriseNSDb
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