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DBMS > IBM Db2 Event Store vs. JanusGraph vs. Microsoft Azure SQL Database vs. YottaDB

System Properties Comparison IBM Db2 Event Store vs. JanusGraph vs. Microsoft Azure SQL Database vs. YottaDB

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Database as a Service offering with high compatibility to Microsoft SQL ServerA fast and solid embedded Key-value store
Primary database modelEvent Store
Time Series DBMS
Graph DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Relational DBMS infousing the Octo plugin
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
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitewww.ibm.com/­products/­db2-event-storejanusgraph.orgazure.microsoft.com/­en-us/­products/­azure-sql/­databaseyottadb.com
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedocs.janusgraph.orgdocs.microsoft.com/­en-us/­azure/­azure-sqlyottadb.com/­resources/­documentation
DeveloperIBMLinux Foundation; originally developed as Titan by AureliusMicrosoftYottaDB, LLC
Initial release2017201720102001
Current release2.00.6.3, February 2023V12
License infoCommercial or Open Sourcecommercial infofree developer edition availableOpen Source infoApache 2.0commercialOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++JavaC++C
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinux
OS X
Unix
Windows
hostedDocker
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nonoyesno
Secondary indexesnoyesyesno
SQL infoSupport of SQLyes infothrough the embedded Spark runtimenoyesby using the Octo plugin
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
ODBC
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Clojure
Java
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresyesyesTransact SQL
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationyesyes, with always 3 replicas availableyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyes
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
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-standardUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standardUsers and groups based on OS-security mechanisms

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More resources
IBM Db2 Event StoreJanusGraph infosuccessor of TitanMicrosoft Azure SQL Database infoformerly SQL AzureYottaDB
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