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DBMS > Kdb vs. Microsoft Azure Table Storage vs. Neo4j

System Properties Comparison Kdb vs. Microsoft Azure Table Storage vs. Neo4j

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Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionHigh performance Time Series DBMSA Wide Column Store for rapid development using massive semi-structured datasetsScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings
Primary database modelTime Series DBMS
Vector DBMS
Wide column storeGraph DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.79
Rank#50  Overall
#2  Time Series DBMS
#3  Vector DBMS
Score2.73
Rank#95  Overall
#6  Wide column stores
Score45.34
Rank#20  Overall
#1  Graph DBMS
Websitekx.comazure.microsoft.com/­en-us/­services/­storage/­tablesneo4j.com
Technical documentationcode.kx.comneo4j.com/­docs
DeveloperKx Systems, a division of First Derivatives plcMicrosoftNeo4j, Inc.
Initial release2000 infokdb was released 2000, kdb+ in 200320122007
Current release3.6, May 20185.23, August 2024
License infoCommercial or Open Sourcecommercial infofree 32-bit versioncommercialOpen Source infoGPL version3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageqJava, Scala
Server operating systemsLinux
OS X
Solaris
Windows
hostedLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeyesschema-freeschema-free and schema-optional
Typing infopredefined data types such as float or dateyesyesyes
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.yesno
Secondary indexesyes infotable attribute 'grouped'noyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLSQL-like query language (q)nono
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
RESTful HTTP APIBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functionsnoyes infoUser defined Procedures and Functions
Triggersyes infowith viewsnoyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoImplicit feature of the cloud serviceyes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Causal 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 processingnono
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 integrityyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlrights management via user accountsAccess rights based on private key authentication or shared access signaturesUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
KdbMicrosoft Azure Table StorageNeo4j
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
News

This Week in Neo4j: GraphAcademy, Knowledge Graph, Neo4j Recap, Hypermode and more
1 February 2025

This Week in Neo4j: Podcast, GraphRAG, Cluster, BAML and more
18 January 2025

Neo4j Joins Linux Foundation for AI and Data
15 January 2025

Neo4j in 2024: Delivering on Our Vision of Cloud-First Graph Technology
15 January 2025

Neo4j Positioned as a Visionary in the 2024 Gartner® Magic Quadrant™ for Cloud Database Management Systems
23 December 2024

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
KdbMicrosoft Azure Table StorageNeo4j
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