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DBMS > Dolt vs. IBM Db2 Event Store vs. Neo4j vs. Newts

System Properties Comparison Dolt vs. IBM Db2 Event Store vs. Neo4j vs. Newts

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Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonNeo4j  Xexclude from comparisonNewts  Xexclude from comparison
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaDistributed Event Store optimized for Internet of Things use casesScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsTime Series DBMS based on Cassandra
Primary database modelRelational DBMSEvent Store
Time Series DBMS
Graph DBMSTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score44.89
Rank#21  Overall
#1  Graph DBMS
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
www.ibm.com/­products/­db2-event-storeneo4j.comopennms.github.io/­newts
Technical documentationdocs.dolthub.comwww.ibm.com/­docs/­en/­db2-event-storeneo4j.com/­docsgithub.com/­OpenNMS/­newts/­wiki
DeveloperDoltHub IncIBMNeo4j, Inc.OpenNMS Group
Initial release2018201720072014
Current release2.05.20, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree developer edition availableOpen Source infoGPL version3, commercial licenses availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
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 languageGoC and C++Java, ScalaJava
Server operating systemsLinux
macOS
Windows
Linux infoLinux, macOS, Windows for the developer additionLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesyesschema-free and schema-optionalschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesnoyes infopluggable indexing subsystem, by default Apache Luceneno
SQL infoSupport of SQLyesyes infothrough the embedded Spark runtimenono
APIs and other access methodsCLI Client
HTTP REST
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
HTTP REST
Java API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Java
Server-side scripts infoStored proceduresyes infocurrently in alpha releaseyesyes infoUser defined Procedures and Functionsno
Triggersyesnoyes infovia event handlerno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes using Neo4j FabricSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.Active-active shard replicationCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyesnoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupfine grained access rights according to SQL-standardUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)no
More information provided by the system vendor
DoltIBM Db2 Event StoreNeo4jNewts
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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