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

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

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonOrientDB  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopElastic, 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.WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Document storeObject oriented DBMS
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
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
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websiteimpala.apache.orgazure.microsoft.com/­services/­synapse-analyticsorientdb.orgwww.percona.com/­mongodb/­software/­percona-server-for-mongodbwakanda.github.io
Technical documentationimpala.apache.org/­impala-docs.htmldocs.microsoft.com/­azure/­synapse-analyticswww.orientdb.com/­docs/­last/­index.htmldocs.percona.com/­percona-distribution-for-mongodbwakanda.github.io/­doc
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaMicrosoftOrientDB LTD; CallidusCloud; SAPPerconaWakanda SAS
Initial release20132016201020152012
Current release4.1.0, June 20223.2.29, March 20243.4.10-2.10, November 20172.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache version 2Open Source infoGPL Version 2Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++JavaC++C++, JavaScript
Server operating systemsLinuxhostedAll OS with a Java JDK (>= JDK 6)LinuxLinux
OS X
Windows
Data schemeyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")schema-freeyes
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 indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like query language, no joinsnono
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
proprietary protocol using JSONRESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCC#
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
JavaScript
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceTransact SQLJava, JavascriptJavaScriptyes
TriggersnonoHooksnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesMulti-source replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono infocould be achieved with distributed queriesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynono 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 datanoACIDACIDnoACID
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.noyes infovia In-Memory Engineno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosyesAccess rights for users and roles; record level security configurableAccess rights for users and rolesyes

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More resources
Apache ImpalaMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseOrientDBPercona Server for MongoDBWakandaDB
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