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DBMS > Kdb vs. Neo4j vs. Ultipa

System Properties Comparison Kdb vs. Neo4j vs. Ultipa

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Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonNeo4j  Xexclude from comparisonUltipa  Xexclude from comparison
DescriptionHigh performance Time Series DBMSScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsHigh performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelTime Series DBMS
Vector DBMS
Graph DBMSGraph DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.58
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score45.75
Rank#21  Overall
#1  Graph DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Websitekx.comneo4j.comwww.ultipa.com
Technical documentationcode.kx.comneo4j.com/­docswww.ultipa.com/­document
DeveloperKx Systems, a division of First Derivatives plcNeo4j, Inc.Ultipa
Initial release2000 infokdb was released 2000, kdb+ in 200320072019
Current release3.6, May 20185.21.2, July 2024
License infoCommercial or Open Sourcecommercial infofree 32-bit versionOpen Source infoGPL version3, commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenonono
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 languageqJava, Scala
Server operating systemsLinux
OS X
Solaris
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeyesschema-free and schema-optional
Typing infopredefined data types such as float or dateyesyes
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
Secondary indexesyes infotable attribute 'grouped'yes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLSQL-like query language (q)no
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsyes infoUser defined Procedures and Functions
Triggersyes infowith viewsyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingno
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
Foreign keys infoReferential integrityyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlrights management via user accountsUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
KdbNeo4jUltipa
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Neo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Neo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Real-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Over 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Neo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsupon request
» more
GPL 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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More resources
KdbNeo4jUltipa
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Recent citations in the news

Turbocharging the Engine: KX Unleashes AI-First Transformation with kdb+
28 February 2024, Business Wire

Introducing Amazon FinSpace with Managed kdb Insights, a fully managed analytics engine, commonly used by capital markets customers for analysis of real-time and historical time series data
18 May 2023, AWS Blog

McLaren Applied and KX partner to enhance ATLAS software analytics capabilities
9 August 2023, Professional Motorsport World

KX ANNOUNCES KDB INSIGHTS AS FULLY MANAGED SERVICE ON AMAZON FINSPACE
18 May 2023, PR Newswire

KX Brings the Power and Performance of kdb+ to Python Developers with PyKX
7 June 2023, Datanami

provided by Google News

Neo4j Announces Collaboration with Microsoft to Advance GenAI and Data Solutions
26 March 2024, PR Newswire

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21 July 2024, MarkTechPost

Big data analytics with Neo4j and Java, Part 1
10 July 2024, InfoWorld

Neo4j Is Planning IPO on Nasdaq, Largest Owner Greenbridge Says
15 February 2024, Bloomberg

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