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DBMS > Hypertable vs. Neo4j vs. Postgres-XL vs. YottaDB

System Properties Comparison Hypertable vs. Neo4j vs. Postgres-XL vs. YottaDB

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonNeo4j  Xexclude from comparisonPostgres-XL  Xexclude from comparisonYottaDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn 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 offeringsBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA fast and solid embedded Key-value store
Primary database modelWide column storeGraph DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score42.68
Rank#21  Overall
#1  Graph DBMS
Score0.43
Rank#260  Overall
#119  Relational DBMS
Score0.21
Rank#309  Overall
#43  Key-value stores
Websiteneo4j.comwww.postgres-xl.orgyottadb.com
Technical documentationneo4j.com/­docswww.postgres-xl.org/­documentationyottadb.com/­resources/­documentation
DeveloperHypertable Inc.Neo4j, Inc.YottaDB, LLC
Initial release200920072014 infosince 2012, originally named StormDB2001
Current release0.9.8.11, March 20165.23, August 202410 R1, October 2018
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availableOpen Source infoGPL version3, commercial licenses availableOpen Source infoMozilla public licenseOpen 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 languageC++Java, ScalaCC
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
macOS
Docker
Linux
Data schemeschema-freeschema-free and schema-optionalyesschema-free
Typing infopredefined data types such as float or datenoyesyesno
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.yes infoXML type, but no XML query functionalityno
Secondary indexesrestricted infoonly exact value or prefix value scansyes infopluggable indexing subsystem, by default Apache Luceneyesno
SQL infoSupport of SQLnonoyes infodistributed, parallel query executionby using the Octo plugin
APIs and other access methodsC++ API
Thrift
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
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
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnoyes infoUser defined Procedures and Functionsuser defined functions
Triggersnoyes infovia event handleryes
Partitioning methods infoMethods for storing different data on different nodesShardingyes using Neo4j Fabrichorizontal partitioning
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 methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoMVCCoptimistic 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)fine grained access rights according to SQL-standardUsers and groups based on OS-security mechanisms
More information provided by the system vendor
HypertableNeo4jPostgres-XLYottaDB
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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