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DBMS > Axibase vs. DuckDB vs. Microsoft Azure SQL Database vs. Neo4j

System Properties Comparison Axibase vs. DuckDB vs. Microsoft Azure SQL Database vs. Neo4j

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Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonDuckDB  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationAn embeddable, in-process, column-oriented SQL OLAP RDBMSDatabase as a Service offering with high compatibility to Microsoft SQL ServerScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings
Primary database modelTime Series DBMSRelational DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.21
Rank#308  Overall
#25  Time Series DBMS
Score5.61
Rank#60  Overall
#34  Relational DBMS
Score72.95
Rank#16  Overall
#11  Relational DBMS
Score42.68
Rank#21  Overall
#1  Graph DBMS
Websiteaxibase.com/­docs/­atsd/­financeduckdb.orgazure.microsoft.com/­en-us/­products/­azure-sql/­databaseneo4j.com
Technical documentationduckdb.org/­docsdocs.microsoft.com/­en-us/­azure/­azure-sqlneo4j.com/­docs
DeveloperAxibase CorporationMicrosoftNeo4j, Inc.
Initial release2013201820102007
Current release155851.0.0, June 2024V125.23, August 2024
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidOpen Source infoMIT LicensecommercialOpen Source infoGPL version3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonoyesno
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++C++Java, Scala
Server operating systemsLinuxserver-lesshostedLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeyesyesyesschema-free and schema-optional
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyesyesyes
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.nonoyes
Secondary indexesnoyesyesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLSQL-like query languageyesyesno
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
ADO.NET
JDBC
ODBC
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Supported programming languagesGo
Java
PHP
Python
R
Ruby
C
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
.Net
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 proceduresyesnoTransact SQLyes infoUser defined Procedures and Functions
Triggersyesnoyesyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyes, with always 3 replicas availableCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
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 integritynonoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.yes
User concepts infoAccess controlnofine grained access rights according to SQL-standardUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
AxibaseDuckDBMicrosoft Azure SQL Database infoformerly SQL AzureNeo4j
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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