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DBMS > Apache Impala vs. Galaxybase vs. Microsoft Azure Synapse Analytics vs. OrientDB vs. Percona Server for MongoDB

System Properties Comparison Apache Impala vs. Galaxybase vs. Microsoft Azure Synapse Analytics vs. OrientDB vs. Percona Server for MongoDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonGalaxybase  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonOrientDB  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopScalable, ACID-compliant native distributed parallel graph platformElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerMulti-model DBMS (Document, Graph, Key/Value)A drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelRelational DBMSGraph DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Document store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.00
Rank#383  Overall
#39  Graph DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Score0.52
Rank#254  Overall
#39  Document stores
Websiteimpala.apache.orggalaxybase.comazure.microsoft.com/­services/­synapse-analyticsorientdb.orgwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationimpala.apache.org/­impala-docs.htmldocs.microsoft.com/­azure/­synapse-analyticswww.orientdb.com/­docs/­last/­index.htmldocs.percona.com/­percona-distribution-for-mongodb
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司MicrosoftOrientDB LTD; CallidusCloud; SAPPercona
Initial release20132017201620102015
Current release4.1.0, June 2022Nov 20, November 20213.2.29, March 20243.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialOpen Source infoApache version 2Open Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C and JavaC++JavaC++
Server operating systemsLinuxLinuxhostedAll OS with a Java JDK (>= JDK 6)Linux
Data schemeyesStrong typed schemayesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")schema-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.nonononono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesSQL-like query language, no joinsno
APIs and other access methodsJDBC
ODBC
Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
ADO.NET
JDBC
ODBC
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
proprietary protocol using JSON
Supported programming languagesAll languages supporting JDBC/ODBCGo
Java
Python
C#
Java
PHP
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
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 procedures and functionsTransact SQLJava, JavascriptJavaScript
TriggersnonoHooksno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding, horizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono infocould be achieved with distributed queriesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes inforelationship in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDno
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 KerberosRole-based access controlyesAccess rights for users and roles; record level security configurableAccess rights for users and roles

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More resources
Apache ImpalaGalaxybaseMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseOrientDBPercona Server for MongoDB
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