DBMS > Atos Standard Common Repository vs. BigObject vs. H2 vs. Microsoft Azure Data Explorer vs. SAP Advantage Database Server

System Properties Comparison Atos Standard Common Repository vs. BigObject vs. H2 vs. Microsoft Azure Data Explorer vs. SAP Advantage Database Server

Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	BigObject  Xexclude from comparison	H2  Xexclude from comparison	Microsoft Azure Data Explorer  Xexclude from comparison	SAP Advantage Database Server former name: Sybase ADS  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.				SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
Description	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	Analytic DBMS for real-time computations and queries	Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.	Fully managed big data interactive analytics platform	Low-cost RDBMS with access to ISAM and FoxPro data structures
Primary database model	Document store Key-value store	Relational DBMS a hierachical model (tree) can be imposed	Relational DBMS	Relational DBMS column oriented	Relational DBMS
Secondary database models			Spatial DBMS	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 0.19 Rank #329   Overall #146   Relational DBMS	Score 8.33 Rank #46   Overall #30   Relational DBMS	Score 3.80 Rank #81   Overall #43   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	bigobject.io	www.h2database.com	azure.microsoft.com/­services/­data-explorer	www.sap.com/products/advantage-database-server.html
Technical documentation		docs.bigobject.io	www.h2database.com/­html/­main.html	docs.microsoft.com/­en-us/­azure/­data-explorer
Developer	Atos Convergence Creators	BigObject, Inc.	Thomas Mueller	Microsoft	Sybase, SAP
Initial release	2016	2015	2005	2019	1993
Current release	1703		2.2.220, July 2023	cloud service with continuous releases
License Commercial or Open Source	commercial	commercial free community edition available	Open Source dual-licence (Mozilla public license, Eclipse public license)	commercial	commercial
Cloud-based only Only available as a cloud service	no	no	no	yes	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java		Java
Server operating systems	Linux	Linux distributed as a docker-image OS X distributed as a docker-image (boot2docker) Windows distributed as a docker-image (boot2docker)	All OS with a Java VM	hosted	Linux Windows
Data scheme	Schema and schema-less with LDAP views	yes	yes	Fixed schema with schema-less datatypes (dynamic)	yes
Typing predefined data types such as float or date	optional	yes	yes	yes bool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types	yes
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.	yes	no	no	yes	no
Secondary indexes	yes	yes	yes	all fields are automatically indexed	yes
SQL Support of SQL	no	SQL-like DML and DDL statements	yes	Kusto Query Language (KQL), SQL subset	yes
APIs and other access methods	LDAP	fluentd ODBC RESTful HTTP API	JDBC ODBC	Microsoft SQL Server communication protocol (MS-TDS) RESTful HTTP API	.NET Client API ADO.NET JDBC ODBC OLE DB
Supported programming languages	All languages with LDAP bindings		Java	.Net Go Java JavaScript (Node.js) PowerShell Python R	Delphi Perl PHP
Server-side scripts Stored procedures	no	Lua	Java Stored Procedures and User-Defined Functions	Yes, possible languages: KQL, Python, R	yes
Triggers	yes	no	yes	yes see docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	none	none	Sharding Implicit feature of the cloud service	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	none	With clustering: 2 database servers on different computers operate on identical copies of a database	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
MapReduce Offers an API for user-defined Map/Reduce methods		no	no	Spark connector (open source): github.com/­Azure/­azure-kusto-spark	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	none	Immediate Consistency	Eventual Consistency Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	yes automatically between fact table and dimension tables	yes	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	ACID	no	ACID
Concurrency Support for concurrent manipulation of data	yes	yes Read/write lock on objects (tables, trees)	yes, multi-version concurrency control (MVCC)	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.	yes	yes	yes	no	no caching of (temporary) tables can be configured
User concepts Access control	LDAP bind authentication	no	fine grained access rights according to SQL-standard	Azure Active Directory Authentication	fine grained access rights according to SQL-standard
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
	Atos Standard Common Repository	BigObject	H2	Microsoft Azure Data Explorer	SAP Advantage Database Server former name: Sybase ADS
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) | Azure updates 20 February 2024, Microsoft Public Preview: Azure Data Explorer connector for Apache Flink | Azure updates 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

Share this page