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DBMS > Databricks vs. Informix vs. Microsoft Azure SQL Database vs. NSDb

System Properties Comparison Databricks vs. Informix vs. Microsoft Azure SQL Database vs. NSDb

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonInformix  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonNSDb  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things dataDatabase as a Service offering with high compatibility to Microsoft SQL ServerScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelDocument store
Relational DBMS
Relational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
Document store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score17.12
Rank#34  Overall
#21  Relational DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Websitewww.databricks.comwww.ibm.com/­products/­informixazure.microsoft.com/­en-us/­products/­azure-sql/­databasensdb.io
Technical documentationdocs.databricks.cominformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
docs.microsoft.com/­en-us/­azure/­azure-sqlnsdb.io/­Architecture
DeveloperDatabricksIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.Microsoft
Initial release2013198420102017
Current release14.10.FC5, November 2020V12
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availablecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and JavaC++Java, Scala
Server operating systemshostedAIX
HP-UX
Linux
macOS
Solaris
Windows
hostedLinux
macOS
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyes infoSince Version 12.10 support for JSON/BSON datatypesyesyes: int, bigint, decimal, string
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.yesyesno
Secondary indexesyesyesyesall fields are automatically indexed
SQL infoSupport of SQLwith Databricks SQLyesyesSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
gRPC
HTTP REST
WebSocket
Supported programming languagesPython
R
Scala
.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesTransact SQLno
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
yes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlUsers with fine-grained authentication, authorization, and auditing controlsfine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksInformixMicrosoft Azure SQL Database infoformerly SQL AzureNSDb
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksInformixMicrosoft Azure SQL Database infoformerly SQL AzureNSDb
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