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DBMS > IBM Db2 warehouse vs. NSDb vs. Sadas Engine vs. ScyllaDB

System Properties Comparison IBM Db2 warehouse vs. NSDb vs. Sadas Engine vs. ScyllaDB

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Editorial information provided by DB-Engines
NameIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonNSDb  Xexclude from comparisonSadas Engine  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionCloud-based data warehousing serviceScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsCassandra and DynamoDB compatible wide column store
Primary database modelRelational DBMSTime Series DBMSRelational DBMSWide column store
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score4.75
Rank#68  Overall
#5  Wide column stores
Websitewww.ibm.com/­products/­db2/­warehousensdb.iowww.sadasengine.comwww.scylladb.com
Technical documentationnsdb.io/­Architecturewww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.scylladb.com
DeveloperIBMSADAS s.r.l.ScyllaDB
Initial release2014201720062015
Current release8.0ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial infofree trial version availableOpen Source infoOpen Source (AGPL), commercial license available
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.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageJava, ScalaC++C++
Server operating systemshostedLinux
macOS
AIX
Linux
Windows
Linux
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyesyes
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.no infoImport/export of XML data possiblenonono
Secondary indexesyesall fields are automatically indexedyesyes infocluster global secondary indices
SQL infoSupport of SQLyesSQL-like query languageyesSQL-like DML and DDL statements (CQL)
APIs and other access methods.NET Client API
JDBC
ODBC
OLE DB
gRPC
HTTP REST
WebSocket
JDBC
ODBC
Proprietary protocol
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesJava
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Java
Scala
.Net
C
C#
C++
Groovy
Java
PHP
Python
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresPL/SQL, SQL PLnonoyes, Lua
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infoAtomicity and isolation are supported for single operations
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.yesyes infomanaged by 'Learn by Usage'yes infoin-memory tables
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardAccess rights for users can be defined per object
More information provided by the system vendor
IBM Db2 warehouse infoformerly named IBM dashDBNSDbSadas EngineScyllaDB
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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More resources
IBM Db2 warehouse infoformerly named IBM dashDBNSDbSadas EngineScyllaDB
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