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DBMS > IBM Db2 Event Store vs. Neo4j vs. SurrealDB vs. Trafodion

System Properties Comparison IBM Db2 Event Store vs. Neo4j vs. SurrealDB vs. Trafodion

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonNeo4j  Xexclude from comparisonSurrealDB  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionDistributed 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 offeringsA fully ACID transactional, developer-friendly, multi-model DBMSTransactional SQL-on-Hadoop DBMS
Primary database modelEvent Store
Time Series DBMS
Graph DBMSDocument store
Graph DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score44.89
Rank#21  Overall
#1  Graph DBMS
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websitewww.ibm.com/­products/­db2-event-storeneo4j.comsurrealdb.comtrafodion.apache.org
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storeneo4j.com/­docssurrealdb.com/­docstrafodion.apache.org/­documentation.html
DeveloperIBMNeo4j, Inc.SurrealDB LtdApache Software Foundation, originally developed by HP
Initial release2017200720222014
Current release2.05.20, May 2024v1.5.0, May 20242.3.0, February 2019
License infoCommercial or Open Sourcecommercial infofree developer edition availableOpen Source infoGPL version3, commercial licenses availableOpen SourceOpen 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 languageC and C++Java, ScalaRustC++, Java
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
macOS
Windows
Linux
Data schemeyesschema-free and schema-optionalschema-freeyes
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.nono
Secondary indexesnoyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLyes infothrough the embedded Spark runtimenoSQL-like query languageyes
APIs and other access methodsADO.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
GraphQL
RESTful HTTP API
WebSocket
ADO.NET
JDBC
ODBC
Supported programming languagesC
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
Deno
Go
JavaScript (Node.js)
Rust
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyesyes infoUser defined Procedures and FunctionsJava Stored Procedures
Triggersnoyes infovia event handlerno
Partitioning methods infoMethods for storing different data on different nodesShardingyes using Neo4j FabricSharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia user defined functions and HBase
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
Immediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyesyes
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)yes, based on authentication and database rulesfine grained access rights according to SQL-standard
More information provided by the system vendor
IBM Db2 Event StoreNeo4jSurrealDBTrafodion
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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