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DBMS > Apache Kylin vs. Hypertable vs. Neo4j vs. YottaDB

System Properties Comparison Apache Kylin vs. Hypertable vs. Neo4j vs. YottaDB

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonHypertable  Xexclude from comparisonNeo4j  Xexclude from comparisonYottaDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackAn open source BigTable implementation based on distributed file systems such as HadoopScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsA fast and solid embedded Key-value store
Primary database modelRelational DBMSWide column storeGraph DBMSKey-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score44.89
Rank#21  Overall
#1  Graph DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitekylin.apache.orgneo4j.comyottadb.com
Technical documentationkylin.apache.org/­docsneo4j.com/­docsyottadb.com/­resources/­documentation
DeveloperApache Software Foundation, originally contributed from eBay IncHypertable Inc.Neo4j, Inc.YottaDB, LLC
Initial release2015200920072001
Current release3.1.0, July 20200.9.8.11, March 20165.20, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGNU version 3. Commercial license availableOpen Source infoGPL version3, commercial licenses availableOpen Source infoAGPL 3.0
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.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageJavaC++Java, ScalaC
Server operating systemsLinuxLinux
OS X
Windows infoan inofficial Windows port is available
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Docker
Linux
Data schemeyesschema-freeschema-free and schema-optionalschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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 indexesyesrestricted infoonly exact value or prefix value scansyes infopluggable indexing subsystem, by default Apache Luceneno
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)nonoby using the Octo plugin
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
C++ API
Thrift
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnoyes infoUser defined Procedures and Functions
Triggersnoyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesShardingyes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integritynoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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 controlnoUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Users and groups based on OS-security mechanisms
More information provided by the system vendor
Apache KylinHypertableNeo4jYottaDB
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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