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DBMS > IBM Db2 Event Store vs. InfinityDB vs. IRONdb vs. Microsoft Access vs. Microsoft Azure AI Search

System Properties Comparison IBM Db2 Event Store vs. InfinityDB vs. IRONdb vs. Microsoft Access vs. Microsoft Azure AI Search

Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonInfinityDB  Xexclude from comparisonIRONdb  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionDistributed Event Store optimized for Internet of Things use casesA Java embedded Key-Value Store which extends the Java Map interfaceA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Search-as-a-service for web and mobile app development
Primary database modelEvent Store
Time Series DBMS
Key-value storeTime Series DBMSRelational DBMSSearch engine
Secondary database modelsVector DBMS
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
Score0.00
Rank#378  Overall
#57  Key-value stores
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Websitewww.ibm.com/­products/­db2-event-storeboilerbay.comwww.circonus.com/solutions/time-series-database/www.microsoft.com/­en-us/­microsoft-365/­accessazure.microsoft.com/­en-us/­services/­search
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storeboilerbay.com/­infinitydb/­manualdocs.circonus.com/irondb/category/getting-starteddeveloper.microsoft.com/­en-us/­accesslearn.microsoft.com/­en-us/­azure/­search
DeveloperIBMBoiler Bay Inc.Circonus LLC.MicrosoftMicrosoft
Initial release20172002201719922015
Current release2.04.0V0.10.20, January 20181902 (16.0.11328.20222), March 2019V1
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercialcommercialcommercial infoBundled with Microsoft Officecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++JavaC and C++C++
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionAll OS with a Java VMLinuxWindows infoNot a real database server, but making use of DLLshosted
Data schemeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes infotext, numeric, histogramsyesyes
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.nononono
Secondary indexesnono infomanual creation possible, using inversions based on multi-value capabilitynoyesyes
SQL infoSupport of SQLyes infothrough the embedded Spark runtimenoSQL-like query language (Circonus Analytics Query Language: CAQL)yes infobut not compliant to any SQL standardno
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
HTTP APIADO.NET
DAO
ODBC
OLE DB
RESTful HTTP API
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Java.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresyesnoyes, in Luayes infosince Access 2010 using the ACE-engineno
Triggersnononoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneAutomatic, metric affinity per nodenoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationnoneconfigurable replication factor, datacenter awarenoneyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilitynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoOptimistic locking for transactions; no isolation for bulk loadsnoACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyesyesyes
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlfine grained access rights according to SQL-standardnonono infoa simple user-level security was built in till version Access 2003yes infousing Azure authentication

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More resources
IBM Db2 Event StoreInfinityDBIRONdbMicrosoft AccessMicrosoft Azure AI Search
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