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DBMS > Databricks vs. Dgraph vs. Dolt vs. Tibero

System Properties Comparison Databricks vs. Dgraph vs. Dolt vs. Tibero

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDgraph  Xexclude from comparisonDolt  Xexclude from comparisonTibero  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.Distributed and scalable native Graph DBMSA MySQL compatible DBMS with Git-like versioning of data and schemaA secure RDBMS, designed for easy portability from Oracle
Primary database modelDocument store
Relational DBMS
Graph DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.96
Rank#193  Overall
#90  Relational DBMS
Score1.78
Rank#140  Overall
#64  Relational DBMS
Websitewww.databricks.comdgraph.iogithub.com/­dolthub/­dolt
www.dolthub.com
us.tmaxsoft.com/­products/­tibero
Technical documentationdocs.databricks.comdgraph.io/­docsdocs.dolthub.comtechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperDatabricksDgraph Labs, Inc.DoltHub IncTmaxSoft
Initial release2013201620182003
Current release6, April 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoGoC and Assembler
Server operating systemshostedLinux
OS X
Windows
Linux
macOS
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesyes
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.yesnonoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLwith Databricks SQLnoyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
CLI Client
HTTP REST
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesPython
R
Scala
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyes infocurrently in alpha releasePersistent Stored Procedure (PSM)
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesyesnonehorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication via RaftA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
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.nono infoplanned for next version
User concepts infoAccess controlno infoPlanned for future releasesOnly one user is configurable, and must be specified in the config file at startupfine grained access rights according to SQL-standard (SQL 92, SQL 99)
More information provided by the system vendor
DatabricksDgraphDoltTibero
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksDgraphDoltTibero
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