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DBMS > Kyligence Enterprise vs. Microsoft Azure SQL Database vs. Netezza vs. ScyllaDB

System Properties Comparison Kyligence Enterprise vs. Microsoft Azure SQL Database vs. Netezza vs. ScyllaDB

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Editorial information provided by DB-Engines
NameKyligence Enterprise  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionA distributed analytics engine for big data, built on top of Apache KylinDatabase as a Service offering with high compatibility to Microsoft SQL ServerData warehouse and analytics appliance part of IBM PureSystemsCassandra and DynamoDB compatible wide column store
Primary database modelRelational DBMSRelational DBMSRelational DBMSWide column store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score4.75
Rank#68  Overall
#5  Wide column stores
Websitekyligence.io/­kyligence-enterpriseazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.ibm.com/­products/­netezzawww.scylladb.com
Technical documentationdocs.microsoft.com/­en-us/­azure/­azure-sqldocs.scylladb.com
DeveloperKyligence, Inc.MicrosoftIBMScyllaDB
Initial release2016201020002015
Current releaseV12ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
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 languageJavaC++C++
Server operating systemsLinuxhostedLinux infoincluded in applianceLinux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesno
Secondary indexesyesyesyesyes infocluster global secondary indices
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)yesyesSQL-like DML and DDL statements (CQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
JDBC
ODBC
OLE DB
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languages.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
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 proceduresTransact SQLyesyes, Lua
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with always 3 replicas availableSource-replica replicationselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoin-memory tables
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptAccess rights for users can be defined per object
More information provided by the system vendor
Kyligence EnterpriseMicrosoft Azure SQL Database infoformerly SQL AzureNetezza infoAlso called PureData System for Analytics by IBMScyllaDB
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
Kyligence EnterpriseMicrosoft Azure SQL Database infoformerly SQL AzureNetezza infoAlso called PureData System for Analytics by IBMScyllaDB
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