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DBMS > Apache Impala vs. IBM Cloudant vs. Microsoft SQL Server vs. OpenEdge vs. OrigoDB

System Properties Comparison Apache Impala vs. IBM Cloudant vs. Microsoft SQL Server vs. OpenEdge vs. OrigoDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonOpenEdge  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopDatabase as a Service offering based on Apache CouchDBMicrosofts flagship relational DBMSApplication development environment with integrated database management systemA fully ACID in-memory object graph database
Primary database modelRelational DBMSDocument storeRelational DBMSRelational DBMSDocument store
Object oriented DBMS
Secondary database modelsDocument storeDocument 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
Score2.68
Rank#106  Overall
#20  Document stores
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websiteimpala.apache.orgwww.ibm.com/­products/­cloudantwww.microsoft.com/­en-us/­sql-serverwww.progress.com/­openedgeorigodb.com
Technical documentationimpala.apache.org/­impala-docs.htmlcloud.ibm.com/­docs/­Cloudantlearn.microsoft.com/­en-US/­sql/­sql-serverdocumentation.progress.com/­output/­ua/­OpenEdge_latestorigodb.com/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014MicrosoftProgress Software CorporationRobert Friberg et al
Initial release20132010198919842009 infounder the name LiveDB
Current release4.1.0, June 2022SQL Server 2022, November 2022OpenEdge 12.2, March 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial inforestricted free version is availablecommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ErlangC++C#
Server operating systemsLinuxhostedLinux
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesUser defined using .NET types and collections
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 infocan be achieved using .NET
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesyes infoclose to SQL 92no
APIs and other access methodsJDBC
ODBC
RESTful HTTP/JSON APIADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
.NET Client API
HTTP API
LINQ
Supported programming languagesAll languages supporting JDBC/ODBCC#
Java
JavaScript
Objective-C
PHP
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Progress proprietary ABL (Advanced Business Language).Net
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceView functions (Map-Reduce) in JavaScriptTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayesyes
Triggersnoyesyesyesyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesShardingShardingtables can be distributed across several files (horizontal partitioning); sharding through federationhorizontal partitioning infosince Version 11.4horizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
yes, but depending on the SQL-Server EditionSource-replica replicationSource-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 ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesdepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a document possibleACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users can be defined per databasefine grained access rights according to SQL-standardUsers and groupsRole based authorization

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More resources
Apache ImpalaIBM CloudantMicrosoft SQL ServerOpenEdgeOrigoDB
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