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DBMS > Databricks vs. SiteWhere vs. Sphinx vs. SQream DB

System Properties Comparison Databricks vs. SiteWhere vs. Sphinx vs. SQream DB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonSiteWhere  Xexclude from comparisonSphinx  Xexclude from comparisonSQream DB  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.M2M integration platform for persisting/querying time series dataOpen source search engine for searching in data from different sources, e.g. relational databasesa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelDocument store
Relational DBMS
Time Series DBMSSearch engineRelational 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
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websitewww.databricks.comgithub.com/­sitewhere/­sitewheresphinxsearch.comsqream.com
Technical documentationdocs.databricks.comsitewhere1.sitewhere.io/­index.htmlsphinxsearch.com/­docsdocs.sqream.com
DeveloperDatabricksSiteWhereSphinx Technologies Inc.SQream Technologies
Initial release2013201020012017
Current release3.5.1, February 20232022.1.6, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoCommon Public Attribution License Version 1.0Open Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++, CUDA, Haskell, Java, Scala
Server operating systemshostedLinux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)predefined schemeyesyes
Typing infopredefined data types such as float or dateyesnoyes, ANSI Standard SQL Types
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 indexesyesnoyes infofull-text index on all search fieldsno
SQL infoSupport of SQLwith Databricks SQLnoSQL-like query language (SphinxQL)yes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP RESTProprietary protocol.Net
JDBC
ODBC
Supported programming languagesPython
R
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesnouser defined functions in Python
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on HBaseSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on HBasenonenone
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 integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlUsers with fine-grained authorization conceptno
More information provided by the system vendor
DatabricksSiteWhereSphinxSQream DB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksSiteWhereSphinxSQream DB
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