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DBMS > Databricks vs. searchxml vs. TypeDB

System Properties Comparison Databricks vs. searchxml vs. TypeDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonsearchxml  Xexclude from comparisonTypeDB infoformerly named Grakn  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.DBMS for structured and unstructured content wrapped with an application serverTypeDB provides developers with an expressive, customizable type system to manage their data using an award-winning query language, TypeQL, while building on a high-performance, distributed architecture.
Primary database modelDocument store
Relational DBMS
Native XML DBMS
Search engine
Graph DBMS infoThe type-theoretic data model of TypeDB subsumes the graph database model.
Object oriented DBMS infoThe data model of TypeDB comprises object-oriented features such as class inheritance and interfaces.
Relational DBMS infoThe type-theoretic data model of TypeDB subsumes the relational database model.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score85.60
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score0.00
Rank#388  Overall
#7  Native XML DBMS
#25  Search engines
Score0.66
Rank#227  Overall
#20  Graph DBMS
#8  Object oriented DBMS
#106  Relational DBMS
Websitewww.databricks.comwww.searchxml.net/­category/­productstypedb.com
Technical documentationdocs.databricks.comwww.searchxml.net/­support/­handoutstypedb.com/­docs
DeveloperDatabricksinformationpartners gmbhVaticle
Initial release201320152016
Current release1.02.28.3, June 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java
Server operating systemshostedWindowsLinux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
Typing infopredefined data types such as float or dateyesyes
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 indexesyesyesyes
SQL infoSupport of SQLwith Databricks SQLnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP API
WebDAV
XQuery
XSLT
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (IDE)
Supported programming languagesPython
R
Scala
C++ infomost other programming languages supported via APIsAll JVM based languages
C
C++
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infoon the application serverno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneno
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infosychronisation to multiple collectionsSynchronous replication via raft
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDmultiple readers, single writerACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlDomain, group and role-based access control at the document level and for application servicesyes infoat REST API level; other APIs in progress
More information provided by the system vendor
DatabrickssearchxmlTypeDB infoformerly named Grakn
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
TypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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More resources
DatabrickssearchxmlTypeDB infoformerly named Grakn
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Recent citations in the news

Databricks now lets developers create AI apps in 5 minutes: Here’s how
8 October 2024, VentureBeat

Big data vendors introduce Apache Iceberg features in same week
14 October 2024, The Register

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11 October 2024, SDxCentral

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24 September 2024, Forbes

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13 September 2024, ION Analytics

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8 June 2021, Towards Data Science

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provided by Google News



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