DBMS > Atos Standard Common Repository vs. Manticore Search vs. Microsoft Azure Data Explorer vs. OrigoDB

System Properties Comparison Atos Standard Common Repository vs. Manticore Search vs. Microsoft Azure Data Explorer vs. OrigoDB

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Name	Atos Standard Common Repository  Xexclude from comparison	Manticore Search  Xexclude from comparison	Microsoft Azure Data Explorer  Xexclude from comparison	OrigoDB  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.
Description	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	Multi-storage database for search, including full-text search.	Fully managed big data interactive analytics platform	A fully ACID in-memory object graph database
Primary database model	Document store Key-value store	Search engine	Relational DBMS column oriented	Document store Object oriented DBMS
Secondary database models		Time Series DBMS using the Manticore Columnar Library	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 0.29 Rank #302   Overall #21   Search engines	Score 3.80 Rank #81   Overall #43   Relational DBMS	Score 0.06 Rank #380   Overall #50   Document stores #18   Object oriented DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	manticoresearch.com	azure.microsoft.com/­services/­data-explorer	origodb.com
Technical documentation		manual.manticoresearch.com	docs.microsoft.com/­en-us/­azure/­data-explorer	origodb.com/­docs
Developer	Atos Convergence Creators	Manticore Software	Microsoft	Robert Friberg et al
Initial release	2016	2017	2019	2009 under the name LiveDB
Current release	1703	6.0, February 2023	cloud service with continuous releases
License Commercial or Open Source	commercial	Open Source GPL version 2	commercial	Open Source
Cloud-based only Only available as a cloud service	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	C++		C#
Server operating systems	Linux	FreeBSD Linux macOS Windows	hosted	Linux Windows
Data scheme	Schema and schema-less with LDAP views	Fixed schema	Fixed schema with schema-less datatypes (dynamic)	yes
Typing predefined data types such as float or date	optional	Int, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Boolean	yes bool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types	User defined using .NET types and collections
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	Can index from XML	yes	no can be achieved using .NET
Secondary indexes	yes	yes full-text index on all search fields	all fields are automatically indexed	yes
SQL Support of SQL	no	SQL-like query language	Kusto Query Language (KQL), SQL subset	no
APIs and other access methods	LDAP	Binary API RESTful HTTP/JSON API RESTful HTTP/SQL API SQL over MySQL	Microsoft SQL Server communication protocol (MS-TDS) RESTful HTTP API	.NET Client API HTTP API LINQ
Supported programming languages	All languages with LDAP bindings	Elixir Go Java JavaScript (Node.js) Perl PHP Python	.Net Go Java JavaScript (Node.js) PowerShell Python R	.Net
Server-side scripts Stored procedures	no	user defined functions	Yes, possible languages: KQL, Python, R	yes
Triggers	yes	no	yes see docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy	yes Domain Events
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding Partitioning is done manually, search queries against distributed index is supported	Sharding Implicit feature of the cloud service	horizontal partitioning client side managed; servers are not synchronized
Replication methods Methods for redundantly storing data on multiple nodes	yes	Synchronous replication based on Galera library	yes Implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.	Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods		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		Eventual Consistency Immediate Consistency
Foreign keys Referential integrity	no	no	no	depending on model
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	yes isolated transactions for atomic changes and binary logging for safe writes	no	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes The original contents of fields are not stored in the Manticore index.	yes	yes Write ahead log
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes		no	yes
User concepts Access control	LDAP bind authentication	no	Azure Active Directory Authentication	Role based authorization
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More resources
	Atos Standard Common Repository	Manticore Search	Microsoft Azure Data Explorer	OrigoDB
Recent citations in the news		Integrating Manticore Search with Apache Superset 8 August 2023, hackernoon.com Clickhouse vs Elasticsearch vs Manticore Search Query Times With a 1.7B NYC Taxi Rides Benchmark 1 June 2022, hackernoon.com Manticore is a Faster Alternative to Elasticsearch in C++ 25 July 2022, hackernoon.com 8 Google Alternatives: How to Search Crypto, the Dark Web, More 1 February 2023, Gizmodo Highlighting in Search Results 24 May 2020, hackernoon.com 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) | 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 New Features for graph-match KQL Operator: Enhanced Pattern Matching and Cycle Control | Azure updates 24 January 2024, Microsoft provided by Google News

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