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DBMS > atoti vs. Kyligence Enterprise vs. Microsoft Azure AI Search vs. NSDb

System Properties Comparison atoti vs. Kyligence Enterprise vs. Microsoft Azure AI Search vs. NSDb

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonNSDb  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A distributed analytics engine for big data, built on top of Apache KylinSearch-as-a-service for web and mobile app developmentScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelObject oriented DBMSRelational DBMSSearch engineTime Series DBMS
Secondary database modelsVector 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
Score5.59
Rank#63  Overall
#7  Search engines
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websiteatoti.iokyligence.io/­kyligence-enterpriseazure.microsoft.com/­en-us/­services/­searchnsdb.io
Technical documentationdocs.atoti.iolearn.microsoft.com/­en-us/­azure/­searchnsdb.io/­Architecture
DeveloperActiveViamKyligence, Inc.Microsoft
Initial release201620152017
Current releaseV1
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJava, Scala
Server operating systemsLinuxhostedLinux
macOS
Data schemeyesyes
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 indexesyesyesall fields are automatically indexed
SQL infoSupport of SQLMultidimensional Expressions (MDX)ANSI SQL for queries (using Apache Calcite)noSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIgRPC
HTTP REST
WebSocket
Supported programming languagesC#
Java
JavaScript
Python
Java
Scala
Server-side scripts infoStored proceduresPythonnono
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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 controlyes infousing Azure authentication

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More resources
atotiKyligence EnterpriseMicrosoft Azure AI SearchNSDb
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