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DBMS > Amazon Redshift vs. Microsoft Azure Cosmos DB vs. Sphinx vs. Transbase

System Properties Comparison Amazon Redshift vs. Microsoft Azure Cosmos DB vs. Sphinx vs. Transbase

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonSphinx  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsGlobally distributed, horizontally scalable, multi-model database serviceOpen source search engine for searching in data from different sources, e.g. relational databasesA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Search engineRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.88
Rank#35  Overall
#22  Relational DBMS
Score27.71
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score5.95
Rank#55  Overall
#5  Search engines
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websiteaws.amazon.com/­redshiftazure.microsoft.com/­services/­cosmos-dbsphinxsearch.comwww.transaction.de/­en/­products/­transbase.html
Technical documentationdocs.aws.amazon.com/­redshiftlearn.microsoft.com/­azure/­cosmos-dbsphinxsearch.com/­docswww.transaction.de/­en/­products/­transbase/­features.html
DeveloperAmazon (based on PostgreSQL)MicrosoftSphinx Technologies Inc.Transaction Software GmbH
Initial release2012201420011987
Current release3.5.1, February 2023Transbase 8.3, 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2, commercial licence availablecommercial infofree development license
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++C and C++
Server operating systemshostedhostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infoJSON typesnoyes
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.nono
Secondary indexesrestrictedyes infoAll properties auto-indexed by defaultyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL-like query languageSQL-like query language (SphinxQL)yes
APIs and other access methodsJDBC
ODBC
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Proprietary protocolADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin PythonJavaScriptnoyes
TriggersnoJavaScriptnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud servicenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDMulti-item ACID transactions with snapshot isolation within a partitionnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights can be defined down to the item levelnofine grained access rights according to SQL-standard

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More resources
Amazon RedshiftMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBSphinxTransbase
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