DBMS > Apache Impala vs. DolphinDB vs. Lovefield vs. SAP Advantage Database Server

System Properties Comparison Apache Impala vs. DolphinDB vs. Lovefield vs. SAP Advantage Database Server

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	Apache Impala  Xexclude from comparison	DolphinDB  Xexclude from comparison	Lovefield  Xexclude from comparison	SAP Advantage Database Server former name: Sybase ADS  Xexclude from comparison
				SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
Description	Analytic DBMS for Hadoop	DolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.	Embeddable relational database for web apps written in pure JavaScript	Low-cost RDBMS with access to ISAM and FoxPro data structures
Primary database model	Relational DBMS	Time Series DBMS	Relational DBMS	Relational DBMS
Secondary database models	Document store	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 12.45 Rank #40   Overall #24   Relational DBMS	Score 4.03 Rank #78   Overall #6   Time Series DBMS	Score 0.33 Rank #286   Overall #131   Relational DBMS
Website	impala.apache.org	www.dolphindb.com	google.github.io/­lovefield	www.sap.com/products/advantage-database-server.html
Technical documentation	impala.apache.org/­impala-docs.html	docs.dolphindb.cn/­en/­help200/­index.html	github.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
Developer	Apache Software Foundation Apache top-level project, originally developed by Cloudera	DolphinDB, Inc	Google	Sybase, SAP
Initial release	2013	2018	2014	1993
Current release	4.1.0, June 2022	v2.00.4, January 2022	2.1.12, February 2017
License Commercial or Open Source	Open Source Apache Version 2	commercial free community version available	Open Source Apache 2.0	commercial
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++	C++	JavaScript
Server operating systems	Linux	Linux Windows	server-less, requires a JavaScript environment (browser, Node.js) tested with Chrome, Firefox, IE, Safari	Linux Windows
Data scheme	yes	yes	yes	yes
Typing predefined data types such as float or date	yes	yes	yes	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	no	no	no
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	SQL-like DML and DDL statements	SQL-like query language	SQL-like query language via JavaScript builder pattern	yes
APIs and other access methods	JDBC ODBC	JDBC JSON over HTTP Kafka MQTT (Message Queue Telemetry Transport) ODBC OPC DA OPC UA RabbitMQ WebSocket		.NET Client API ADO.NET JDBC ODBC OLE DB
Supported programming languages	All languages supporting JDBC/ODBC	C# C++ Go Java JavaScript MatLab Python R Rust	JavaScript	Delphi Perl PHP
Server-side scripts Stored procedures	yes user defined functions and integration of map-reduce	yes	no	yes
Triggers	no	no	Using read-only observers	yes
Partitioning methods Methods for storing different data on different nodes	Sharding	horizontal partitioning	none	none
Replication methods Methods for redundantly storing data on multiple nodes	selectable replication factor	yes	none	Multi-source replication CONFLICT Trigger to resolve replication conflicts Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	yes query execution via MapReduce	yes	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Eventual Consistency	Immediate Consistency		Immediate Consistency
Foreign keys Referential integrity	no	no	yes	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	yes	ACID	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes, by using IndexedDB or the cloud service Firebase Realtime Database	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no	yes	yes using MemoryDB	no caching of (temporary) tables can be configured
User concepts Access control	Access rights for users, groups and roles based on Apache Sentry and Kerberos	Administrators, Users, Groups	no	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
	Apache Impala	DolphinDB	Lovefield	SAP Advantage Database Server former name: Sybase ADS
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		Kagiso interactive shares: all eyes on android at google I/O 11 May 2015, WhaTech 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