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DBMS > IBM Db2 Event Store vs. Manticore Search vs. Microsoft Azure Data Explorer vs. Prometheus vs. Riak TS

System Properties Comparison IBM Db2 Event Store vs. Manticore Search vs. Microsoft Azure Data Explorer vs. Prometheus vs. Riak TS

Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonPrometheus  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesMulti-storage database for search, including full-text search.Fully managed big data interactive analytics platformOpen-source Time Series DBMS and monitoring systemRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelEvent Store
Time Series DBMS
Search engineRelational DBMS infocolumn orientedTime Series DBMSTime Series DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryDocument store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
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
Score0.22
Rank#312  Overall
#21  Search engines
Score4.38
Rank#77  Overall
#41  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Websitewww.ibm.com/­products/­db2-event-storemanticoresearch.comazure.microsoft.com/­services/­data-explorerprometheus.io
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storemanual.manticoresearch.comdocs.microsoft.com/­en-us/­azure/­data-explorerprometheus.io/­docswww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperIBMManticore SoftwareMicrosoftOpen Source, formerly Basho Technologies
Initial release20172017201920152015
Current release2.06.0, February 2023cloud service with continuous releases3.0.0, September 2022
License infoCommercial or Open Sourcecommercial infofree developer edition availableOpen Source infoGPL version 2commercialOpen Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++GoErlang
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionFreeBSD
Linux
macOS
Windows
hostedLinux
Windows
Linux
OS X
Data schemeyesFixed schemaFixed schema with schema-less datatypes (dynamic)yesschema-free
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesNumeric data onlyno
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.noCan index from XMLyesno infoImport of XML data possibleno
Secondary indexesnoyes infofull-text index on all search fieldsall fields are automatically indexednorestricted
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeSQL-like query languageKusto Query Language (KQL), SQL subsetnoyes, limited
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
RESTful HTTP/JSON APIHTTP API
Native Erlang Interface
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresyesuser defined functionsYes, possible languages: KQL, Python, RnoErlang
Triggersnonoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoImplicit feature of the cloud serviceShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationSynchronous replication based on Galera libraryyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes infoby Federationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoSpark connector (open source): github.com/­Azure/­azure-kusto-sparknoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency
noneEventual Consistency
Foreign keys infoReferential integritynonononono infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infoisolated transactions for atomic changes and binary logging for safe writesnonono
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 storageyes infoThe original contents of fields are not stored in the Manticore index.yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAzure Active Directory Authenticationnono

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More resources
IBM Db2 Event StoreManticore SearchMicrosoft Azure Data ExplorerPrometheusRiak TS
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