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DBMS > Amazon Redshift vs. Manticore Search vs. Realm vs. Splice Machine

System Properties Comparison Amazon Redshift vs. Manticore Search vs. Realm vs. Splice Machine

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonManticore Search  Xexclude from comparisonRealm  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsMulti-storage database for search, including full-text search.A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSSearch engineDocument storeRelational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score7.60
Rank#52  Overall
#9  Document stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websiteaws.amazon.com/­redshiftmanticoresearch.comrealm.iosplicemachine.com
Technical documentationdocs.aws.amazon.com/­redshiftmanual.manticoresearch.comrealm.io/­docssplicemachine.com/­how-it-works
DeveloperAmazon (based on PostgreSQL)Manticore SoftwareRealm, acquired by MongoDB in May 2019Splice Machine
Initial release2012201720142014
Current release6.0, February 20233.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2Open SourceOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++Java
Server operating systemshostedFreeBSD
Linux
macOS
Windows
Android
Backend: server-less
iOS
Windows
Linux
OS X
Solaris
Windows
Data schemeyesFixed schemayesyes
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyes
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.noCan index from XMLno
Secondary indexesrestrictedyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL-like query languagenoyes
APIs and other access methodsJDBC
ODBC
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
JDBC
Native Spark Datasource
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
Java infowith Android only
Objective-C
React Native
Swift
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functions infoin Pythonuser defined functionsno inforuns within the applications so server-side scripts are unnecessaryyes infoJava
Triggersnonoyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportednoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication based on Galera librarynoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infoisolated transactions for atomic changes and binary logging for safe writesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoIn-Memory realmyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoyesAccess rights for users, groups and roles according to SQL-standard

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More resources
Amazon RedshiftManticore SearchRealmSplice Machine
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