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DBMS > Amazon Redshift vs. LeanXcale vs. Manticore Search vs. Tigris

System Properties Comparison Amazon Redshift vs. LeanXcale vs. Manticore Search vs. Tigris

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonLeanXcale  Xexclude from comparisonManticore Search  Xexclude from comparisonTigris  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesMulti-storage database for search, including full-text search.A horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelRelational DBMSKey-value store
Relational DBMS
Search engineDocument store
Key-value store
Search engine
Time Series 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
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score0.02
Rank#369  Overall
#51  Document stores
#55  Key-value stores
#24  Search engines
#38  Time Series DBMS
Websiteaws.amazon.com/­redshiftwww.leanxcale.commanticoresearch.comwww.tigrisdata.com
Technical documentationdocs.aws.amazon.com/­redshiftmanual.manticoresearch.comwww.tigrisdata.com/­docs
DeveloperAmazon (based on PostgreSQL)LeanXcaleManticore SoftwareTigris Data, Inc.
Initial release2012201520172022
Current release6.0, February 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++
Server operating systemshostedFreeBSD
Linux
macOS
Windows
Linux
macOS
Windows
Data schemeyesyesFixed schemayes
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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 fieldsyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardyes infothrough Apache DerbySQL-like query languageno
APIs and other access methodsJDBC
ODBC
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
CLI Client
gRPC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCC
Java
Scala
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresuser defined functions infoin Pythonuser defined functionsno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication based on Galera libraryyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes infoisolated transactions for atomic changes and binary logging for safe writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users and roles

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More resources
Amazon RedshiftLeanXcaleManticore SearchTigris
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