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DBMS > Amazon Redshift vs. Datomic vs. Microsoft Azure Synapse Analytics vs. NSDb vs. Sphinx

System Properties Comparison Amazon Redshift vs. Datomic vs. Microsoft Azure Synapse Analytics vs. NSDb vs. Sphinx

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonDatomic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNSDb  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score24.27
Rank#32  Overall
#18  Relational DBMS
Score1.82
Rank#127  Overall
#62  Relational DBMS
Score17.27
Rank#39  Overall
#24  Relational DBMS
Score0.00
Rank#350  Overall
#33  Time Series DBMS
Score7.61
Rank#55  Overall
#5  Search engines
Websiteaws.amazon.com/­redshiftwww.datomic.comazure.microsoft.com/­services/­synapse-analyticsnsdb.iosphinxsearch.com
Technical documentationdocs.aws.amazon.com/­redshiftdocs.datomic.comdocs.microsoft.com/­azure/­synapse-analyticsnsdb.io/­Architecturesphinxsearch.com/­docs
DeveloperAmazon (based on PostgreSQL)CognitectMicrosoftSphinx Technologies Inc.
Initial release20122012201620172001
Current release0.9.5951, July 20193.4.1, July 2021
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialOpen Source infoApache Version 2.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava, ClojureC++Java, ScalaC++
Server operating systemshostedAll OS with a Java VMhostedLinux
macOS
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes: int, bigint, decimal, stringno
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.nononono
Secondary indexesrestrictedyesyesall fields are automatically indexedyes infofull-text index on all search fields
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnoyesSQL-like query languageSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIADO.NET
JDBC
ODBC
gRPC
HTTP REST
WebSocket
Proprietary protocol
Supported programming languagesAll languages supporting JDBC/ODBCClojure
Java
C#
Java
PHP
Java
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyes infoTransaction FunctionsTransact SQLnono
TriggersnoBy using transaction functionsnono
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersSharding, horizontal partitioningShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesUsing Apache Luceneyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and development
User concepts infoAccess controlfine grained access rights according to SQL-standardnoyesno

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More resources
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