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

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

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonEsgynDB  Xexclude from comparisonGridGain  Xexclude from comparisonMySQL  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGridGain is an in-memory computing platform, built on Apache IgniteWidely used open source RDBMSNewSQL database with distributed OLTP and SQL
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Relational DBMS infoKey/Value like access via memcached APIDocument store
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
Score1.59
Rank#158  Overall
#26  Key-value stores
#73  Relational DBMS
Score1101.50
Rank#2  Overall
#2  Relational DBMS
Score0.50
Rank#264  Overall
#42  Document stores
#121  Relational DBMS
Websiteimpala.apache.orgwww.esgyn.cnwww.gridgain.comwww.mysql.comwww.sequoiadb.com
Technical documentationimpala.apache.org/­impala-docs.htmlwww.gridgain.com/­docs/­index.htmldev.mysql.com/­docwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaEsgynGridGain Systems, Inc.Oracle infosince 2010, originally MySQL AB, then SunSequoiadb Ltd.
Initial release20132015200719952013
Current release4.1.0, June 2022GridGain 8.5.18.3.0, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++, JavaJava, C++, .NetC and C++C++
Server operating systemsLinuxLinuxLinux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Linux
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes infooid, date, timestamp, binary, regex
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.nonoyesyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesANSI-99 for query and DML statements, subset of DDLyes infowith proprietary extensionsSQL-like query language
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
Proprietary native API
proprietary protocol using JSON
Supported programming languagesAll languages supporting JDBC/ODBCAll languages supporting JDBC/ODBC/ADO.NetC#
C++
Java
PHP
Python
Ruby
Scala
Ada
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
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceJava Stored Proceduresyes (compute grid and cache interceptors can be used instead)yes infoproprietary syntaxJavaScript
Triggersnonoyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardinghorizontal partitioning, sharding with MySQL Cluster or MySQL FabricSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication between multi datacentersyes (replicated cache)Multi-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID infonot for MyISAM storage engineDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardSecurity Hooks for custom implementationsUsers with fine-grained authorization concept infono user groups or rolessimple password-based access control

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More resources
Apache ImpalaEsgynDBGridGainMySQLSequoiadb
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