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DBMS > atoti vs. eXtremeDB vs. Kyligence Enterprise vs. Lovefield vs. Microsoft Azure SQL Database

System Properties Comparison atoti vs. eXtremeDB vs. Kyligence Enterprise vs. Lovefield vs. Microsoft Azure SQL Database

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisoneXtremeDB  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonLovefield  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Natively in-memory DBMS with options for persistency, high-availability and clusteringA distributed analytics engine for big data, built on top of Apache KylinEmbeddable relational database for web apps written in pure JavaScriptDatabase as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelObject oriented DBMSRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score0.46
Rank#266  Overall
#124  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Websiteatoti.iowww.mcobject.comkyligence.io/­kyligence-enterprisegoogle.github.io/­lovefieldazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationdocs.atoti.iowww.mcobject.com/­docs/­extremedb.htmgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperActiveViamMcObjectKyligence, Inc.GoogleMicrosoft
Initial release2001201620142010
Current release8.2, 20212.1.12, February 2017V12
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialcommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++JavaJavaScriptC++
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
Linuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safarihosted
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 infosupport of XML interfaces availablenonoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)yes infowith the option: eXtremeSQLANSI SQL for queries (using Apache Calcite)SQL-like query language infovia JavaScript builder patternyes
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
JavaScript.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresPythonyesnoTransact SQL
Triggersyes infoby defining eventsUsing read-only observersyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioninghorizontal partitioning / shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
noneyes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes infousing MemoryDB
User concepts infoAccess controlnofine grained access rights according to SQL-standard
More information provided by the system vendor
atotieXtremeDBKyligence EnterpriseLovefieldMicrosoft Azure SQL Database infoformerly SQL Azure
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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More resources
atotieXtremeDBKyligence EnterpriseLovefieldMicrosoft Azure SQL Database infoformerly SQL Azure
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