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DBMS > Apache Impala vs. EsgynDB vs. MySQL vs. Sequoiadb vs. VoltDB

System Properties Comparison Apache Impala vs. EsgynDB vs. MySQL vs. Sequoiadb vs. VoltDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonEsgynDB  Xexclude from comparisonMySQL  Xexclude from comparisonSequoiadb  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionWidely used open source RDBMSNewSQL database with distributed OLTP and SQLDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelRelational DBMSRelational DBMSRelational DBMS infoKey/Value like access via memcached APIDocument store
Relational DBMS
Relational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.06
Rank#39  Overall
#24  Relational DBMS
Score0.26
Rank#311  Overall
#141  Relational DBMS
Score1101.50
Rank#2  Overall
#2  Relational DBMS
Score0.50
Rank#264  Overall
#42  Document stores
#121  Relational DBMS
Score1.51
Rank#165  Overall
#75  Relational DBMS
Websiteimpala.apache.orgwww.esgyn.cnwww.mysql.comwww.sequoiadb.comwww.voltdb.com
Technical documentationimpala.apache.org/­impala-docs.htmldev.mysql.com/­docwww.sequoiadb.com/­en/­index.php?m=Files&a=indexdocs.voltdb.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaEsgynOracle infosince 2010, originally MySQL AB, then SunSequoiadb Ltd.VoltDB Inc.
Initial release20132015199520132010
Current release4.1.0, June 20228.3.0, January 202411.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoServer: AGPL; Client: Apache V2Open Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++, JavaC and C++C++Java, C++
Server operating systemsLinuxLinuxFreeBSD
Linux
OS X
Solaris
Windows
LinuxLinux
OS X infofor development
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes infooid, date, timestamp, binary, regexyes
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.nonoyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes infowith proprietary extensionsSQL-like query languageyes infoonly a subset of SQL 99
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
proprietary protocol using JSONJava API
JDBC
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBCAll languages supporting JDBC/ODBC/ADO.NetAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C++
Java
PHP
Python
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceJava Stored Proceduresyes infoproprietary syntaxJavaScriptJava
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning, sharding with MySQL Cluster or MySQL FabricShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication between multi datacentersMulti-source replication
Source-replica replication
Source-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyes infonot for MyISAM storage enginenono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infonot for MyISAM storage engineDocument is locked during a transactionACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or rolessimple password-based access controlUsers and roles with access to stored procedures

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More resources
Apache ImpalaEsgynDBMySQLSequoiadbVoltDB
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