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DBMS > Apache Impala vs. Cubrid vs. DolphinDB vs. FoundationDB

System Properties Comparison Apache Impala vs. Cubrid vs. DolphinDB vs. FoundationDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonCubrid  Xexclude from comparisonDolphinDB  Xexclude from comparisonFoundationDB  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionAnalytic DBMS for HadoopCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPDolphinDB 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.Ordered key-value store. Core features are complimented by layers.
Primary database modelRelational DBMSRelational DBMSTime Series DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Websiteimpala.apache.orgcubrid.com (korean)
cubrid.org (english)
www.dolphindb.comgithub.com/­apple/­foundationdb
Technical documentationimpala.apache.org/­impala-docs.htmlcubrid.org/­manualsdocs.dolphindb.cn/­en/­help200/­index.htmlapple.github.io/­foundationdb
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCUBRID Corporation, CUBRID FoundationDolphinDB, IncFoundationDB
Initial release2013200820182013
Current release4.1.0, June 202211.0, January 2021v2.00.4, January 20226.2.28, November 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0commercial infofree community version availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, C++, JavaC++C++
Server operating systemsLinuxLinux
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeyesyesyesschema-free infosome layers support schemas
Typing infopredefined data types such as float or dateyesyesyesno infosome layers support typing
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like query languagesupported in specific SQL layer only
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceJava Stored Proceduresyesin SQL-layer only
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyLinearizable consistency
Foreign keys infoReferential integritynoyesnoin SQL-layer only
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardAdministrators, Users, Groupsno

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More resources
Apache ImpalaCubridDolphinDBFoundationDB
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