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DBMS > Apache Kylin vs. ArangoDB vs. HugeGraph vs. Netezza

System Properties Comparison Apache Kylin vs. ArangoDB vs. HugeGraph vs. Netezza

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonArangoDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.A fast-speed and highly-scalable Graph DBMSData warehouse and analytics appliance part of IBM PureSystems
Primary database modelRelational DBMSDocument store
Graph DBMS
Key-value store
Search engine
Graph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score3.26
Rank#88  Overall
#15  Document stores
#5  Graph DBMS
#12  Key-value stores
#10  Search engines
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websitekylin.apache.orgarangodb.comgithub.com/­hugegraph
hugegraph.apache.org
www.ibm.com/­products/­netezza
Technical documentationkylin.apache.org/­docsdocs.arangodb.comhugegraph.apache.org/­docs
Social network pagesLinkedInTwitterYouTubeFacebookInstagram
DeveloperApache Software Foundation, originally contributed from eBay IncArangoDB Inc.BaiduIBM
Initial release2015201220182000
Current release3.1.0, July 20203.11.5, November 20230.9
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; Commercial license (Enterprise) availableOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java
Server operating systemsLinuxLinux
OS X
Windows
Linux
macOS
Unix
Linux infoincluded in appliance
Data schemeyesschema-free infoautomatically recognizes schema within a collectionyesyes
Typing infopredefined data types such as float or dateyesyes infostring, double, boolean, list, hashyesyes
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.nono
Secondary indexesyesyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)nonoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
AQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
OLE DB
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
Groovy
Java
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresJavaScriptasynchronous Gremlin script jobsyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0yes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factoryes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno infocan be done with stored procedures in JavaScriptvia hugegraph-sparkyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Eventual Consistency
Foreign keys infoReferential integrityyes inforelationships in graphsyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlyesUsers, roles and permissionsUsers with fine-grained authorization concept
More information provided by the system vendor
Apache KylinArangoDBHugeGraphNetezza infoAlso called PureData System for Analytics by IBM
Specific characteristicsGraph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» more
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» more
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» more
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more
Market metricsArangoDB is the leading native multi-model database with over 11,000 stargazers on...
» more
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» more

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More resources
Apache KylinArangoDBHugeGraphNetezza infoAlso called PureData System for Analytics by IBM
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