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DBMS > Apache Kylin vs. Manticore Search vs. Microsoft Azure Synapse Analytics vs. Netezza vs. OrientDB

System Properties Comparison Apache Kylin vs. Manticore Search vs. Microsoft Azure Synapse Analytics vs. Netezza vs. OrientDB

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOrientDB  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackMulti-storage database for search, including full-text search.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerData warehouse and analytics appliance part of IBM PureSystemsMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelRelational DBMSSearch engineRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.14
Rank#171  Overall
#77  Relational DBMS
Score0.23
Rank#301  Overall
#21  Search engines
Score18.98
Rank#31  Overall
#19  Relational DBMS
Score7.56
Rank#48  Overall
#31  Relational DBMS
Score3.02
Rank#88  Overall
#16  Document stores
#6  Graph DBMS
#12  Key-value stores
Websitekylin.apache.orgmanticoresearch.comazure.microsoft.com/­services/­synapse-analyticswww.ibm.com/­products/­netezzaorientdb.org
Technical documentationkylin.apache.org/­docsmanual.manticoresearch.comdocs.microsoft.com/­azure/­synapse-analyticswww.orientdb.com/­docs/­last/­index.html
DeveloperApache Software Foundation, originally contributed from eBay IncManticore SoftwareMicrosoftIBMOrientDB LTD; CallidusCloud; SAP
Initial release20152017201620002010
Current release3.1.0, July 20206.0, February 20233.2.29, March 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPL version 2commercialcommercialOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++Java
Server operating systemsLinuxFreeBSD
Linux
macOS
Windows
hostedLinux infoincluded in applianceAll OS with a Java JDK (>= JDK 6)
Data schemeyesFixed schemayesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyesyes
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.noCan index from XMLnono
Secondary indexesyesyes infofull-text index on all search fieldsyesyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)SQL-like query languageyesyesSQL-like query language, no joins
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
ADO.NET
JDBC
ODBC
JDBC
ODBC
OLE DB
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C#
Java
PHP
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functionsTransact SQLyesJava, Javascript
TriggersnononoHooks
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding, horizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication based on Galera libraryyesSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyesno infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnoyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoisolated transactions for atomic changes and binary logging for safe writesACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlnoyesUsers with fine-grained authorization conceptAccess rights for users and roles; record level security configurable

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More resources
Apache KylinManticore SearchMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNetezza infoAlso called PureData System for Analytics by IBMOrientDB
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