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DBMS > IBM Db2 Event Store vs. Neo4j vs. Titan vs. Yaacomo

System Properties Comparison IBM Db2 Event Store vs. Neo4j vs. Titan vs. Yaacomo

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonNeo4j  Xexclude from comparisonTitan  Xexclude from comparisonYaacomo  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.Yaacomo seems to be discontinued and is removed 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 offeringsTitan is a Graph DBMS optimized for distributed clusters.OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelEvent Store
Time Series DBMS
Graph DBMSGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.18
Rank#315  Overall
#2  Event Stores
#26  Time Series DBMS
Score42.68
Rank#21  Overall
#1  Graph DBMS
Websitewww.ibm.com/­products/­db2-event-storeneo4j.comgithub.com/­thinkaurelius/­titanyaacomo.com
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storeneo4j.com/­docsgithub.com/­thinkaurelius/­titan/­wiki
DeveloperIBMNeo4j, Inc.Aurelius, owned by DataStaxQ2WEB GmbH
Initial release2017200720122009
Current release2.05.23, August 2024
License infoCommercial or Open Sourcecommercial infofree developer edition availableOpen Source infoGPL version3, commercial licenses availableOpen Source infoApache license, version 2.0commercial
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, ScalaJava
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
OS X
Unix
Windows
Android
Linux
Windows
Data schemeyesschema-free and schema-optionalyesyes
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 Luceneyesyes
SQL infoSupport of SQLyes infothrough the embedded Spark runtimenonoyes
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
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
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
Clojure
Java
Python
Server-side scripts infoStored proceduresyesyes infoUser defined Procedures and Functionsyes
Triggersnoyes infovia event handleryesyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes using Neo4j Fabricyes infovia pluggable storage backendshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics engineno
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
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsyes infoRelationships in graphyes
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 storageyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)User authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standard
More information provided by the system vendor
IBM Db2 Event StoreNeo4jTitanYaacomo
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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