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DBMS > Databricks vs. Fauna vs. Galaxybase

System Properties Comparison Databricks vs. Fauna vs. Galaxybase

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonGalaxybase  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.Fauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.Scalable, ACID-compliant native distributed parallel graph platform
Primary database modelDocument store
Relational DBMS
Document store
Graph DBMS
Relational DBMS
Time Series DBMS
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.52
Rank#153  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score0.00
Rank#383  Overall
#39  Graph DBMS
Websitewww.databricks.comfauna.comgalaxybase.com
Technical documentationdocs.databricks.comdocs.fauna.com
DeveloperDatabricksFauna, Inc.Chuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司
Initial release201320142017
Current releaseNov 20, November 2021
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC and Java
Server operating systemshostedhostedLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeStrong typed schema
Typing infopredefined data types such as float or datenoyes
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 indexesyesyesyes
SQL infoSupport of SQLwith Databricks SQLnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIBrowser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
Supported programming languagesPython
R
Scala
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
Go
Java
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsuser defined procedures and functions
Triggersno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
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 integrityyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
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.nonoyes
User concepts infoAccess controlIdentity management, authentication, and access controlRole-based access control
More information provided by the system vendor
DatabricksFauna infopreviously named FaunaDBGalaxybase
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksFauna infopreviously named FaunaDBGalaxybase
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