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DBMS > Databricks vs. RocksDB vs. SiteWhere

System Properties Comparison Databricks vs. RocksDB vs. SiteWhere

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonRocksDB  Xexclude from comparisonSiteWhere  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.Embeddable persistent key-value store optimized for fast storage (flash and RAM)M2M integration platform for persisting/querying time series data
Primary database modelDocument store
Relational DBMS
Key-value storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score83.29
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score2.89
Rank#97  Overall
#16  Key-value stores
Score0.06
Rank#346  Overall
#32  Time Series DBMS
Websitewww.databricks.comrocksdb.orggithub.com/­sitewhere/­sitewhere
Technical documentationdocs.databricks.comgithub.com/­facebook/­rocksdb/­wikisitewhere1.sitewhere.io/­index.html
DeveloperDatabricksFacebook, Inc.SiteWhere
Initial release201320132010
Current release9.4.0, June 2024
License infoCommercial or Open SourcecommercialOpen Source infoBSDOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemshostedLinuxLinux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freepredefined scheme
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 indexesyesnono
SQL infoSupport of SQLwith Databricks SQLnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
C++ API
Java API
HTTP REST
Supported programming languagesPython
R
Scala
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
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
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnoUsers with fine-grained authorization concept
More information provided by the system vendor
DatabricksRocksDBSiteWhere
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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3rd partiesSpeedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
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More resources
DatabricksRocksDBSiteWhere
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