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DBMS > atoti vs. Kyligence Enterprise vs. NSDb vs. Postgres-XL

System Properties Comparison atoti vs. Kyligence Enterprise vs. NSDb vs. Postgres-XL

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonNSDb  Xexclude from comparisonPostgres-XL  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 KylinScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelObject oriented DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial 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
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websiteatoti.iokyligence.io/­kyligence-enterprisensdb.iowww.postgres-xl.org
Technical documentationdocs.atoti.ionsdb.io/­Architecturewww.postgres-xl.org/­documentation
DeveloperActiveViamKyligence, Inc.
Initial release201620172014 infosince 2012, originally named StormDB
Current release10 R1, October 2018
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Source infoApache Version 2.0Open Source infoMozilla public license
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 languageJavaJavaJava, ScalaC
Server operating systemsLinuxLinux
macOS
Linux
macOS
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyes
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.nonoyes infoXML type, but no XML query functionality
Secondary indexesyesall fields are automatically indexedyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)ANSI SQL for queries (using Apache Calcite)SQL-like query languageyes infodistributed, parallel query execution
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC
HTTP REST
WebSocket
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJava
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresPythonnouser defined functions
Triggersyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardinghorizontal partitioning
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standard

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More resources
atotiKyligence EnterpriseNSDbPostgres-XL
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