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DBMS > AgensGraph vs. Bangdb vs. Microsoft Azure Data Explorer vs. Neo4j

System Properties Comparison AgensGraph vs. Bangdb vs. Microsoft Azure Data Explorer vs. Neo4j

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonBangdb  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLConverged and high performance database for device data, events, time series, document and graphFully managed big data interactive analytics platformScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings
Primary database modelGraph DBMS
Relational DBMS
Document store
Graph DBMS
Time Series DBMS
Relational DBMS infocolumn orientedGraph DBMS
Secondary database modelsSpatial DBMSDocument store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score3.80
Rank#81  Overall
#43  Relational DBMS
Score44.89
Rank#21  Overall
#1  Graph DBMS
Websitebitnine.net/­agensgraphbangdb.comazure.microsoft.com/­services/­data-explorerneo4j.com
Technical documentationbitnine.net/­documentationdocs.bangdb.comdocs.microsoft.com/­en-us/­azure/­data-explorerneo4j.com/­docs
DeveloperBitnine Global Inc.Sachin Sinha, BangDBMicrosoftNeo4j, Inc.
Initial release2016201220192007
Current release2.1, December 2018BangDB 2.0, October 2021cloud service with continuous releases5.20, May 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoBSD 3commercialOpen 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 languageCC, C++Java, Scala
Server operating systemsLinux
OS X
Windows
LinuxhostedLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemedepending on used data modelschema-freeFixed schema with schema-less datatypes (dynamic)schema-free and schema-optional
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyes
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 indexesyesyes infosecondary, composite, nested, reverse, geospatialall fields are automatically indexedyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLyesSQL like support with command line toolKusto Query Language (KQL), SQL subsetno
APIs and other access methodsCypher Query Language
JDBC
Proprietary protocol
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Supported programming languagesC
Java
JavaScript
Python
C
C#
C++
Java
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesnoYes, possible languages: KQL, Python, Ryes infoUser defined Procedures and Functions
Triggersnoyes, Notifications (with Streaming only)yes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding infoImplicit feature of the cloud serviceyes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor, Knob for CAP (enterprise version only)yes 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 methodsnonoSpark connector (open source): github.com/­Azure/­azure-kusto-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable consistency, set CAP knob accordinglyEventual Consistency
Immediate Consistency
Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integrityyesnonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, run db with in-memory only modeno
User concepts infoAccess controlfine grained access rights according to SQL-standardyes (enterprise version only)Azure Active Directory AuthenticationUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
AgensGraphBangdbMicrosoft Azure Data ExplorerNeo4j
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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