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DBMS > IBM Db2 Event Store vs. Microsoft Azure Synapse Analytics vs. RavenDB vs. YottaDB

System Properties Comparison IBM Db2 Event Store vs. Microsoft Azure Synapse Analytics vs. RavenDB vs. YottaDB

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRavenDB  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA fast and solid embedded Key-value store
Primary database modelEvent Store
Time Series DBMS
Relational DBMSDocument storeKey-value store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
Relational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score0.20
Rank#317  Overall
#47  Key-value stores
Websitewww.ibm.com/­products/­db2-event-storeazure.microsoft.com/­services/­synapse-analyticsravendb.netyottadb.com
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedocs.microsoft.com/­azure/­synapse-analyticsravendb.net/­docsyottadb.com/­resources/­documentation
DeveloperIBMMicrosoftHibernating RhinosYottaDB, LLC
Initial release2017201620102001
Current release2.05.4, July 2022
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercialOpen Source infoAGPL version 3, commercial license availableOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++C#C
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionhostedLinux
macOS
Raspberry Pi
Windows
Docker
Linux
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnono
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 indexesnoyesyesno
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeyesSQL-like query language (RQL)by using the Octo plugin
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
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
C#
Java
PHP
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresyesTransact SQLyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationyesMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID, Cluster-wide transaction availableoptimistic 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 storageyesyesyes
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-standardyesAuthorization levels configured per client per databaseUsers and groups based on OS-security mechanisms

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More resources
IBM Db2 Event StoreMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRavenDBYottaDB
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