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DBMS > Databricks vs. IBM Db2 vs. NSDb vs. Riak KV

System Properties Comparison Databricks vs. IBM Db2 vs. NSDb vs. Riak KV

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonNSDb  Xexclude from comparisonRiak KV  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.Common in IBM host environments, 2 different versions for host and Windows/LinuxScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesDistributed, fault tolerant key-value store
Primary database modelDocument store
Relational DBMS
Relational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score128.46
Rank#8  Overall
#5  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Websitewww.databricks.comwww.ibm.com/­products/­db2nsdb.io
Technical documentationdocs.databricks.comwww.ibm.com/­docs/­en/­db2nsdb.io/­Architecturewww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperDatabricksIBMOpenSource, formerly Basho Technologies
Initial release20131983 infohost version20172009
Current release12.1, October 20163.2.0, December 2022
License infoCommercial or Open Sourcecommercialcommercial infofree version is availableOpen Source infoApache Version 2.0Open Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++Java, ScalaErlang
Server operating systemshostedAIX
HP-UX
Linux
Solaris
Windows
z/OS
Linux
macOS
Linux
OS X
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringno
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.yesnono
Secondary indexesyesyesall fields are automatically indexedrestricted
SQL infoSupport of SQLwith Databricks SQLyesSQL-like query languageno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
gRPC
HTTP REST
WebSocket
HTTP API
Native Erlang Interface
Supported programming languagesPython
R
Scala
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
Java
Scala
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesnoErlang
Triggersyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesSharding infoonly with Windows/Unix/Linux VersionShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infowith separate tools (MQ, InfoSphere)selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlfine grained access rights according to SQL-standardyes, using Riak Security
More information provided by the system vendor
DatabricksIBM Db2 infoformerly named DB2 or IBM Database 2NSDbRiak KV
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksIBM Db2 infoformerly named DB2 or IBM Database 2NSDbRiak KV
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