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DBMS > Databricks vs. RDFox vs. Tarantool

System Properties Comparison Databricks vs. RDFox vs. Tarantool

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonRDFox  Xexclude from comparisonTarantool  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.High performance knowledge graph and semantic reasoning engineIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelDocument store
Relational DBMS
Graph DBMS
RDF store
Document store
Key-value store
Relational DBMS
Secondary database modelsRelational DBMSSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score85.60
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score0.23
Rank#296  Overall
#24  Graph DBMS
#13  RDF stores
Score1.58
Rank#142  Overall
#25  Document stores
#24  Key-value stores
#65  Relational DBMS
Websitewww.databricks.comwww.oxfordsemantic.techwww.tarantool.io
Technical documentationdocs.databricks.comdocs.oxfordsemantic.techwww.tarantool.io/­en/­doc
DeveloperDatabricksOxford Semantic TechnologiesVK
Initial release201320172008
Current release6.0, Septermber 20222.10.0, May 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
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++C and C++
Server operating systemshostedLinux
macOS
Windows
BSD
Linux
macOS
Data schemeFlexible Schema (defined schema, partial schema, schema free)yes infoRDF schemasFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typing infopredefined data types such as float or dateyesstring, double, decimal, uuid, integer, blob, boolean, datetime
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.yesno
Secondary indexesyesyes
SQL infoSupport of SQLwith Databricks SQLnoFull-featured ANSI SQL support
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP API
SPARQL 1.1
Open binary protocol
Supported programming languagesPython
R
Scala
C
Java
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresuser defined functions and aggregatesLua, C and SQL stored procedures
Triggersyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesyesreplication via a shared file systemAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsCasual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoSupport for concurrent manipulation of datayesyes, cooperative multitasking
Durability infoSupport for making data persistentyesyesyes, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlRoles, resources, and access typesAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
More information provided by the system vendor
DatabricksRDFoxTarantool
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksRDFoxTarantool
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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

Databricks’ New Offering Promises Speedier AI, Analytical Application Development
10 October 2024, CRN

EXL Expands Partnership With Databricks To Enhance Data Solutions
11 October 2024, SDxCentral

Saudi Arabia’s Sovereign Wealth Fund’s Big AI Bets Include Mistral And Databricks
24 September 2024, Forbes

Databricks could launch IPO in two months but biding time despite investor pressure, CEO says
13 September 2024, ION Analytics

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Samsung Electronics Announces Acquisition of Oxford Semantic Technologies, UK-Based Knowledge Graph Startup
18 July 2024, Samsung Global Newsroom

Samsung acquires UK-based knowledge graph company
19 July 2024, evertiq.com

University spin-out Oxford Semantic Technologies acquired by Samsung Electronics
16 July 2024, University of Oxford

How Samsung Is Acquiring AI Startups To Compete With Tech Giants
22 July 2024, TechRound

Samsung eyes Oxford tech firm for innovative AI venture
20 July 2024, Oxford Mail

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