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DBMS > Databricks vs. Galaxybase vs. LevelDB vs. OushuDB

System Properties Comparison Databricks vs. Galaxybase vs. LevelDB vs. OushuDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGalaxybase  Xexclude from comparisonLevelDB  Xexclude from comparisonOushuDB  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.Scalable, ACID-compliant native distributed parallel graph platformEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning
Primary database modelDocument store
Relational DBMS
Graph DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.07
Rank#377  Overall
#40  Graph DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score0.10
Rank#355  Overall
#154  Relational DBMS
Websitewww.databricks.comgalaxybase.comgithub.com/­google/­leveldbwww.oushu.com/­product/­oushuDB
Technical documentationdocs.databricks.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.oushu.com/­documentation
DeveloperDatabricksChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司GoogleOushu
Initial release201320172011
Current releaseNov 20, November 20211.23, February 20214.0.1, August 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and JavaC++
Server operating systemshostedLinuxIllumos
Linux
OS X
Windows
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)Strong typed schemaschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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 indexesyesyesnoyes
SQL infoSupport of SQLwith Databricks SQLnonoFull-featured ANSI SQL support
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
JDBC
ODBC
Supported programming languagesPython
R
Scala
Go
Java
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C++
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined procedures and functionsnoyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoHadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlRole-based access controlnoKerberos, SSL and role based access
More information provided by the system vendor
DatabricksGalaxybaseLevelDBOushuDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksGalaxybaseLevelDBOushuDB
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