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DBMS > Databricks vs. gStore vs. Sphinx

System Properties Comparison Databricks vs. gStore vs. Sphinx

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisongStore  Xexclude from comparisonSphinx  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.A native Graph DBMS to store and maintain very large RDF datasets.Open source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument store
Relational DBMS
Graph DBMS
RDF store
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.04
Rank#359  Overall
#37  Graph DBMS
#18  RDF stores
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.databricks.comen.gstore.cnsphinxsearch.com
Technical documentationdocs.databricks.comen.gstore.cn/­#/­enDocssphinxsearch.com/­docs
DeveloperDatabricksSphinx Technologies Inc.
Initial release201320162001
Current release1.2, November 20233.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoBSDOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++
Server operating systemshostedLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or dateyesno
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 infofull-text index on all search fields
SQL infoSupport of SQLwith Databricks SQLnoSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP API
SPARQL 1.1
Proprietary protocol
Supported programming languagesPython
R
Scala
C++
Java
JavaScript (Node.js)
PHP
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlUsers, roles and permissions, Role-Based Access Control (RBAC) supportedno
More information provided by the system vendor
DatabricksgStoreSphinx
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksgStoreSphinx
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