DBMS > EventStoreDB vs. InfinityDB vs. Microsoft Azure Data Explorer vs. SAP Advantage Database Server vs. STSdb

System Properties Comparison EventStoreDB vs. InfinityDB vs. Microsoft Azure Data Explorer vs. SAP Advantage Database Server vs. STSdb

Editorial information provided by DB-Engines
Name	EventStoreDB  Xexclude from comparison	InfinityDB  Xexclude from comparison	Microsoft Azure Data Explorer  Xexclude from comparison	SAP Advantage Database Server former name: Sybase ADS  Xexclude from comparison	STSdb  Xexclude from comparison
				SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
Description	Industrial-strength, open-source database solution built from the ground up for event sourcing.	A Java embedded Key-Value Store which extends the Java Map interface	Fully managed big data interactive analytics platform	Low-cost RDBMS with access to ISAM and FoxPro data structures	Key-Value Store with special method for indexing optimized for high performance using a special indexing method
Primary database model	Event Store	Key-value store	Relational DBMS column oriented	Relational DBMS	Key-value store
Secondary database models			Document store If 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 this 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 support 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 see docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 1.19 Rank #173   Overall #1   Event Stores	Score 0.08 Rank #365   Overall #55   Key-value stores	Score 3.80 Rank #81   Overall #43   Relational DBMS		Score 0.10 Rank #357   Overall #51   Key-value stores
Website	www.eventstore.com	boilerbay.com	azure.microsoft.com/­services/­data-explorer	www.sap.com/products/advantage-database-server.html	github.com/­STSSoft/­STSdb4
Technical documentation	developers.eventstore.com	boilerbay.com/­infinitydb/­manual	docs.microsoft.com/­en-us/­azure/­data-explorer
Developer	Event Store Limited	Boiler Bay Inc.	Microsoft	Sybase, SAP	STS Soft SC
Initial release	2012	2002	2019	1993	2011
Current release	21.2, February 2021	4.0	cloud service with continuous releases		4.0.8, September 2015
License Commercial or Open Source	Open Source	commercial	commercial	commercial	Open Source GPLv2, commercial license available
Cloud-based only Only available as a cloud service	no	no	yes	no	no
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Implementation language		Java			C#
Server operating systems	Linux Windows	All OS with a Java VM	hosted	Linux Windows	Windows
Data scheme		yes nested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade	Fixed schema with schema-less datatypes (dynamic)	yes	yes
Typing predefined data types such as float or date		yes all Java primitives, Date, CLOB, BLOB, huge sparse arrays	yes bool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types	yes	yes primitive types and user defined types (classes)
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.		no	yes	no
Secondary indexes		no manual creation possible, using inversions based on multi-value capability	all fields are automatically indexed	yes	no
SQL Support of SQL		no	Kusto Query Language (KQL), SQL subset	yes	no
APIs and other access methods		Access via java.util.concurrent.ConcurrentNavigableMap Interface Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)	Microsoft SQL Server communication protocol (MS-TDS) RESTful HTTP API	.NET Client API ADO.NET JDBC ODBC OLE DB	.NET Client API
Supported programming languages		Java	.Net Go Java JavaScript (Node.js) PowerShell Python R	Delphi Perl PHP	C# Java
Server-side scripts Stored procedures		no	Yes, possible languages: KQL, Python, R	yes	no
Triggers		no	yes see docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy	yes	no
Partitioning methods Methods for storing different data on different nodes		none	Sharding Implicit feature of the cloud service	none	none
Replication methods Methods for redundantly storing data on multiple nodes		none	yes Implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.	Multi-source replication CONFLICT Trigger to resolve replication conflicts Source-replica replication	none
MapReduce Offers an API for user-defined Map/Reduce methods		no	Spark connector (open source): github.com/­Azure/­azure-kusto-spark	no	no
Consistency concepts Methods to ensure consistency in a distributed system		Immediate Consistency READ-COMMITTED or SERIALIZED	Eventual Consistency Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity		no manual creation possible, using inversions based on multi-value capability	no	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data		ACID Optimistic locking for transactions; no isolation for bulk loads	no	ACID	no
Concurrency Support for concurrent manipulation of data		yes	yes	yes	yes
Durability Support for making data persistent		yes	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.		no	no	no caching of (temporary) tables can be configured
User concepts Access control		no	Azure Active Directory Authentication	fine grained access rights according to SQL-standard	no
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More resources
	EventStoreDB	InfinityDB	Microsoft Azure Data Explorer	SAP Advantage Database Server former name: Sybase ADS	STSdb
Recent citations in the news			We’re retiring Azure Time Series Insights on 7 July 2024 – transition to Azure Data Explorer | Azure updates 31 May 2024, Microsoft Update records in a Kusto Database (public preview) 20 February 2024, Microsoft Public Preview: Azure Data Explorer connector for Apache Flink 8 January 2024, Microsoft Announcing General Availability to migrate Virtual Network injected Azure Data Explorer Cluster to Private Endpoints ... 5 February 2024, Microsoft Migration of Azure Virtual Network injected Azure Data Explorer cluster to Private Endpoints | Azure updates 4 December 2023, Microsoft provided by Google News	SAP Announces Q3 2023 Results: Asia Pacific and Japan View 19 October 2023, SAP News provided by Google News

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