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DBMS > Amazon Redshift vs. Datomic vs. NSDb vs. Sphinx vs. Yaacomo

System Properties Comparison Amazon Redshift vs. Datomic vs. NSDb vs. Sphinx vs. Yaacomo

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonDatomic  Xexclude from comparisonNSDb  Xexclude from comparisonSphinx  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
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 durabilityScalable, 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 databasesOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSRelational DBMSTime Series DBMSSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.63
Rank#33  Overall
#20  Relational DBMS
Score2.08
Rank#132  Overall
#64  Relational DBMS
Score0.07
Rank#369  Overall
#40  Time Series DBMS
Score6.06
Rank#61  Overall
#6  Search engines
Websiteaws.amazon.com/­redshiftwww.datomic.comnsdb.iosphinxsearch.comyaacomo.com
Technical documentationdocs.aws.amazon.com/­redshiftdocs.datomic.comnsdb.io/­Architecturesphinxsearch.com/­docs
DeveloperAmazon (based on PostgreSQL)CognitectSphinx Technologies Inc.Q2WEB GmbH
Initial release20122012201720012009
Current release1.0.6735, June 20233.5.1, February 2023
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoApache Version 2.0Open Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava, ClojureJava, ScalaC++
Server operating systemshostedAll OS with a Java VMLinux
macOS
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Android
Linux
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringnoyes
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 indexesrestrictedyesall fields are automatically indexedyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnoSQL-like query languageSQL-like query language (SphinxQL)yes
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIgRPC
HTTP REST
WebSocket
Proprietary protocolJDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCClojure
Java
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 Functionsnono
TriggersnoBy using transaction functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID
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)Using Apache Luceneyes 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.yesyes inforecommended only for testing and developmentyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnonofine grained access rights according to SQL-standard

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More resources
Amazon RedshiftDatomicNSDbSphinxYaacomo
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