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DBMS > Kinetica vs. Microsoft Azure Synapse Analytics vs. Neo4j vs. ToroDB

System Properties Comparison Kinetica vs. Microsoft Azure Synapse Analytics vs. Neo4j vs. ToroDB

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNeo4j  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionFully vectorized database across both GPUs and CPUsElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSRelational DBMSGraph DBMSDocument store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score44.89
Rank#21  Overall
#1  Graph DBMS
Websitewww.kinetica.comazure.microsoft.com/­services/­synapse-analyticsneo4j.comgithub.com/­torodb/­server
Technical documentationdocs.kinetica.comdocs.microsoft.com/­azure/­synapse-analyticsneo4j.com/­docs
DeveloperKineticaMicrosoftNeo4j, Inc.8Kdata
Initial release2012201620072016
Current release7.1, August 20215.20, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version3, commercial licenses availableOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenoyesnono
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, C++C++Java, ScalaJava
Server operating systemsLinuxhostedLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
All OS with a Java 7 VM
Data schemeyesyesschema-free and schema-optionalschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infostring, integer, double, boolean, date, object_id
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.nonono
Secondary indexesyesyesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLSQL-like DML and DDL statementsyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
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 languagesC++
Java
JavaScript (Node.js)
Python
C#
Java
PHP
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functionsTransact SQLyes infoUser defined Procedures and Functions
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes infovia event handlerno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningyes using Neo4j FabricSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlySource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users and roles on table levelyesUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Access rights for users and roles
More information provided by the system vendor
KineticaMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNeo4jToroDB
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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