DBMS > AntDB vs. Apache Impala vs. Atos Standard Common Repository vs. Machbase Neo

System Properties Comparison AntDB vs. Apache Impala vs. Atos Standard Common Repository vs. Machbase Neo

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	AntDB  Xexclude from comparison	Apache Impala  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	Machbase Neo Former name was Infiniflux  Xexclude from comparison
			This system has been discontinued and will be removed from the DB-Engines ranking.
Description	A scalable, multi-tenant, MPP-architectured RDBMS for OLTP and OLAP operations, highly compatible with Oracle	Analytic DBMS for Hadoop	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	TimeSeries DBMS for AIoT and BigData
Primary database model	Relational DBMS	Relational DBMS	Document store Key-value store	Time Series DBMS
Secondary database models		Document store
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.23 Rank #317   Overall #141   Relational DBMS	Score 12.45 Rank #40   Overall #24   Relational DBMS		Score 0.17 Rank #337   Overall #30   Time Series DBMS
Website	www.asiainfo.com/­en_us/­product_aisware_antdb_detail.html	impala.apache.org	atos.net/en/convergence-creators/portfolio/standard-common-repository	machbase.com
Technical documentation		impala.apache.org/­impala-docs.html		machbase.com/­dbms
Developer	AsiaInfo Technologies Limited	Apache Software Foundation Apache top-level project, originally developed by Cloudera	Atos Convergence Creators	Machbase
Initial release		2013	2016	2013
Current release		4.1.0, June 2022	1703	V8.0, August 2023
License Commercial or Open Source	commercial	Open Source Apache Version 2	commercial	commercial free test version available
Cloud-based only Only available as a cloud service	no	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language		C++	Java	C
Server operating systems		Linux	Linux	Linux macOS Windows
Data scheme	yes	yes	Schema and schema-less with LDAP views	yes
Typing predefined data types such as float or date	yes	yes	optional	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.		no	yes	no
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	SQL2016 compliant	SQL-like DML and DDL statements	no	SQL-like query language
APIs and other access methods	JDBC MySQL protocol compliant ODBC	JDBC ODBC	LDAP	gRPC HTTP REST JDBC MQTT (Message Queue Telemetry Transport) ODBC
Supported programming languages		All languages supporting JDBC/ODBC	All languages with LDAP bindings	C C# C++ Go Java JavaScript PHP via ODBC Python R via ODBC Scala
Server-side scripts Stored procedures		yes user defined functions and integration of map-reduce	no	no
Triggers	yes	no	yes	no
Partitioning methods Methods for storing different data on different nodes		Sharding	Sharding cell division	Sharding
Replication methods Methods for redundantly storing data on multiple nodes		selectable replication factor	yes	selectable replication factor
MapReduce Offers an API for user-defined Map/Reduce methods		yes query execution via MapReduce		no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Eventual Consistency	Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys Referential integrity	yes	no	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	no	Atomic execution of specific operations	no
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	no
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	no	yes	yes volatile and lookup table
User concepts Access control		Access rights for users, groups and roles based on Apache Sentry and Kerberos	LDAP bind authentication	simple password-based access control
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
	AntDB	Apache Impala	Atos Standard Common Repository	Machbase Neo Former name was Infiniflux
DB-Engines blog posts	AntDB: Answer to Database Evolution - Hyperconverged All-in-One Streaming Engine 22 June 2023,  Bei Mo, AntDB (sponsor)  show all
Recent citations in the news		Apache Impala becomes Top-Level Project 28 November 2017, SDTimes.com Cloudera Bringing Impala to AWS Cloud 28 November 2017, Datanami Apache Doris just 'graduated': Why care about this SQL data warehouse 24 June 2022, InfoWorld Hudi: Uber Engineering’s Incremental Processing Framework on Apache Hadoop 12 March 2017, Uber Updates & Upserts in Hadoop Ecosystem with Apache Kudu 27 October 2017, KDnuggets provided by Google News	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google News

Share this page