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DBMS > EXASOL vs. NSDb vs. Postgres-XL vs. SQream DB

System Properties Comparison EXASOL vs. NSDb vs. Postgres-XL vs. SQream DB

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonNSDb  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSQream DB  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 featuresa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational 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
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitewww.exasol.comnsdb.iowww.postgres-xl.orgsqream.com
Technical documentationwww.exasol.com/­resourcesnsdb.io/­Architecturewww.postgres-xl.org/­documentationdocs.sqream.com
DeveloperExasolSQream Technologies
Initial release200020172014 infosince 2012, originally named StormDB2017
Current release10 R1, October 20182022.1.6, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoMozilla public licensecommercial
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++, CUDA, Haskell, Java, Scala
Server operating systemsLinux
macOS
Linux
macOS
Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyesyes, ANSI Standard SQL Types
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 indexedyesno
SQL infoSupport of SQLyesSQL-like query languageyes infodistributed, parallel query executionyes
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
.Net
JDBC
ODBC
Supported programming languagesJava
Lua
Python
R
Java
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsnouser defined functionsuser defined functions in Python
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioninghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyes
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-XLSQream DB
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