DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Databricks vs. IBM Db2 vs. searchxml vs. Stardog

System Properties Comparison Databricks vs. IBM Db2 vs. searchxml vs. Stardog

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonsearchxml  Xexclude from comparisonStardog  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/LinuxDBMS for structured and unstructured content wrapped with an application serverEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelDocument store
Relational DBMS
Relational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBNative XML DBMS
Search engine
Graph DBMS
RDF store
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
#7  Native XML DBMS
#25  Search engines
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websitewww.databricks.comwww.ibm.com/­products/­db2www.searchxml.net/­category/­productswww.stardog.com
Technical documentationdocs.databricks.comwww.ibm.com/­docs/­en/­db2www.searchxml.net/­support/­handoutsdocs.stardog.com
DeveloperDatabricksIBMinformationpartners gmbhStardog-Union
Initial release20131983 infohost version20152010
Current release12.1, October 20161.07.3.0, May 2020
License infoCommercial or Open Sourcecommercialcommercial infofree version is availablecommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
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.
Implementation languageC and C++C++Java
Server operating systemshostedAIX
HP-UX
Linux
Solaris
Windows
z/OS
WindowsLinux
macOS
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesyes
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 infoImport/export of XML data possible
Secondary indexesyesyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLwith Databricks SQLyesnoYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
RESTful HTTP API
WebDAV
XQuery
XSLT
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesPython
R
Scala
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
C++ infomost other programming languages supported via APIs.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesyes infoon the application serveruser defined functions and aggregates, HTTP Server extensions in Java
Triggersyesnoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesSharding infoonly with Windows/Unix/Linux Versionnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infowith separate tools (MQ, InfoSphere)yes infosychronisation to multiple collectionsMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyesnoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDmultiple readers, single writerACID
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.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardDomain, group and role-based access control at the document level and for application servicesAccess rights for users and roles
More information provided by the system vendor
DatabricksIBM Db2 infoformerly named DB2 or IBM Database 2searchxmlStardog
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
DatabricksIBM Db2 infoformerly named DB2 or IBM Database 2searchxmlStardog
DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2023
2 January 2024, Matthias Gelbmann, Paul Andlinger

show all

Recent citations in the news

Databricks is expanding the scope of its AI investments with second VC fund
21 May 2024, Fortune

Databricks vs. Redshift: Data Platform Comparison
22 May 2024, eWeek

Analytics and Data Science News for the Week of May 24; Updates from Databricks, IBM, Microsoft & More
23 May 2024, Solutions Review

AI experts from Meta, Databricks, Modal and more speak at Air Street Capital's NYC AI meetup hosted by Celonis
21 May 2024, celonis.com

XponentL Data Secures Strategic Investment from Databricks Ventures to Fuel Data Transformation & Generative AI
22 May 2024, Business Wire

provided by Google News

Announcing Amazon RDS for Db2 with license through AWS Marketplace | Amazon Web Services
21 May 2024, AWS Blog

IBM Collaborates with AWS to Launch a New Cloud Database Offering, Enabling Customers to Optimize Data ...
27 November 2023, IBM Newsroom

IBM's vintage Db2 database jumps on AWS's cloud bandwagon
29 November 2023, The Register

Precisely Supports Amazon RDS for Db2 Service with Real-Time Data Integration Capabilities
3 April 2024, precisely.com

Precisely says it's smoothing migration of Db2 analytics data to AWS cloud – Blocks and Files
5 April 2024, Blocks & Files

provided by Google News



Share this page

Featured Products

SingleStore logo

The database to transact, analyze and contextualize your data in real time.
Try it today.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Present your product here