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DBMS > Apache Impala vs. GBase vs. Hazelcast vs. Microsoft Azure SQL Database vs. Percona Server for MongoDB

System Properties Comparison Apache Impala vs. GBase vs. Hazelcast vs. Microsoft Azure SQL Database vs. Percona Server for MongoDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonGBase  Xexclude from comparisonHazelcast  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A widely adopted in-memory data gridDatabase as a Service offering with high compatibility to Microsoft SQL ServerA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMSDocument store
Secondary database modelsDocument storeDocument store infoJSON support with IMDG 3.12Document store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Websiteimpala.apache.orgwww.gbase.cnhazelcast.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationimpala.apache.org/­impala-docs.htmlhazelcast.org/­imdg/­docsdocs.microsoft.com/­en-us/­azure/­azure-sqldocs.percona.com/­percona-distribution-for-mongodb
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaGeneral Data Technology Co., Ltd.HazelcastMicrosoftPercona
Initial release20132004200820102015
Current release4.1.0, June 2022GBase 8a, GBase 8s, GBase 8c5.3.6, November 2023V123.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, Java, PythonJavaC++C++
Server operating systemsLinuxLinuxAll OS with a Java VMhostedLinux
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyesyes infothe object must implement a serialization strategyyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsStandard with numerous extensionsSQL-like query languageyesno
APIs and other access methodsJDBC
ODBC
ADO.NET
C API
JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
proprietary protocol using JSON
Supported programming languagesAll languages supporting JDBC/ODBCC#.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functionsyes infoEvent Listeners, Executor ServicesTransact SQLJavaScript
Triggersnoyesyes infoEventsyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash) and vertical partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyes infoReplicated Mapyes, with always 3 replicas availableSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDone or two-phase-commit; repeatable reads; read commitedACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesyes infovia In-Memory Engine
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosyesRole-based access controlfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
Apache ImpalaGBaseHazelcastMicrosoft Azure SQL Database infoformerly SQL AzurePercona Server for MongoDB
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