DBMS > Heroic vs. Microsoft Azure Data Explorer vs. SAP Advantage Database Server vs. Tkrzw vs. YottaDB

System Properties Comparison Heroic vs. Microsoft Azure Data Explorer vs. SAP Advantage Database Server vs. Tkrzw vs. YottaDB

Editorial information provided by DB-Engines
Name	Heroic  Xexclude from comparison	Microsoft Azure Data Explorer  Xexclude from comparison	SAP Advantage Database Server former name: Sybase ADS  Xexclude from comparison	Tkrzw Successor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison	YottaDB  Xexclude from comparison
			SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
Description	Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch	Fully managed big data interactive analytics platform	Low-cost RDBMS with access to ISAM and FoxPro data structures	A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet	A fast and solid embedded Key-value store
Primary database model	Time Series DBMS	Relational DBMS column oriented	Relational DBMS	Key-value store	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			Relational DBMS using the Octo plugin
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.46 Rank #265   Overall #22   Time Series DBMS	Score 3.80 Rank #81   Overall #43   Relational DBMS		Score 0.07 Rank #372   Overall #57   Key-value stores	Score 0.28 Rank #306   Overall #44   Key-value stores
Website	github.com/­spotify/­heroic	azure.microsoft.com/­services/­data-explorer	www.sap.com/products/advantage-database-server.html	dbmx.net/­tkrzw	yottadb.com
Technical documentation	spotify.github.io/­heroic	docs.microsoft.com/­en-us/­azure/­data-explorer			yottadb.com/­resources/­documentation
Developer	Spotify	Microsoft	Sybase, SAP	Mikio Hirabayashi	YottaDB, LLC
Initial release	2014	2019	1993	2020	2001
Current release		cloud service with continuous releases		0.9.3, August 2020
License Commercial or Open Source	Open Source Apache 2.0	commercial	commercial	Open Source Apache Version 2.0	Open Source AGPL 3.0
Cloud-based only Only available as a cloud service	no	yes	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java			C++	C
Server operating systems		hosted	Linux Windows	Linux macOS	Docker Linux
Data scheme	schema-free	Fixed schema with schema-less datatypes (dynamic)	yes	schema-free	schema-free
Typing predefined data types such as float or date	yes	yes bool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types	yes	no	no
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	no	no
Secondary indexes	yes via Elasticsearch	all fields are automatically indexed	yes		no
SQL Support of SQL	no	Kusto Query Language (KQL), SQL subset	yes	no	by using the Octo plugin
APIs and other access methods	HQL (Heroic Query Language, a JSON-based language) HTTP API	Microsoft SQL Server communication protocol (MS-TDS) RESTful HTTP API	.NET Client API ADO.NET JDBC ODBC OLE DB		PostgreSQL wire protocol using the Octo plugin Proprietary protocol
Supported programming languages		.Net Go Java JavaScript (Node.js) PowerShell Python R	Delphi Perl PHP	C++ Java Python Ruby	C Go JavaScript (Node.js) Lua M Perl Python Rust
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	Sharding	Sharding Implicit feature of the cloud service	none	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	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	yes
MapReduce Offers an API for user-defined Map/Reduce methods	no	Spark connector (open source): github.com/­Azure/­azure-kusto-spark	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Eventual Consistency Immediate Consistency	Eventual Consistency Immediate Consistency	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	no	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	no	ACID		optimistic locking
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	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	yes using specific database classes	yes
User concepts Access control		Azure Active Directory Authentication	fine grained access rights according to SQL-standard	no	Users and groups based on OS-security mechanisms
More information provided by the system vendor We invite representatives of system vendors to contact us for updating and extending the system information, and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.
Related products and services We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
More resources
	Heroic	Microsoft Azure Data Explorer	SAP Advantage Database Server former name: Sybase ADS	Tkrzw Successor of Tokyo Cabinet and Kyoto Cabinet	YottaDB
Recent citations in the news	Review: Google Bigtable scales with ease 7 September 2016, InfoWorld provided by Google 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 New Features for graph-match KQL Operator: Enhanced Pattern Matching and Cycle Control | Azure updates 24 January 2024, Microsoft provided by Google News	SAP Announces Q3 2023 Results: Asia Pacific and Japan View 19 October 2023, SAP News provided by Google News

Share this page