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DBMS > EXASOL vs. NSDb vs. Postgres-XL vs. ReductStore

System Properties Comparison EXASOL vs. NSDb vs. Postgres-XL vs. ReductStore

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonNSDb  Xexclude from comparisonPostgres-XL  Xexclude from comparisonReductStore  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.
Primary database modelRelational DBMSTime Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Websitewww.exasol.comnsdb.iowww.postgres-xl.orggithub.com/­reductstore
www.reduct.store
Technical documentationwww.exasol.com/­resourcesnsdb.io/­Architecturewww.postgres-xl.org/­documentationwww.reduct.store/­docs
DeveloperExasolReductStore LLC
Initial release200020172014 infosince 2012, originally named StormDB2023
Current release10 R1, October 20181.9, March 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoMozilla public licenseOpen Source infoBusiness Source License 1.1
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ScalaCC++, Rust
Server operating systemsLinux
macOS
Linux
macOS
Docker
Linux
macOS
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyes
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.nonoyes infoXML type, but no XML query functionality
Secondary indexesyesall fields are automatically indexedyes
SQL infoSupport of SQLyesSQL-like query languageyes infodistributed, parallel query execution
APIs and other access methods.Net
JDBC
ODBC
WebSocket
gRPC
HTTP REST
WebSocket
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Supported programming languagesJava
Lua
Python
R
Java
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresuser defined functionsnouser defined functions
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
EXASOLNSDbPostgres-XLReductStore
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